Datasets:
Add BenchPress score matrix dataset
Browse files- README.md +92 -0
- data/benchmarks.csv +0 -0
- data/benchmarks.parquet +3 -0
- data/models.csv +190 -0
- data/models.parquet +3 -0
- data/score_matrix_paper_wide.csv +85 -0
- data/scores_all.csv +0 -0
- data/scores_all.parquet +3 -0
- data/scores_paper.csv +0 -0
- data/scores_paper.parquet +3 -0
- metadata.json +433 -0
README.md
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---
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license: cc-by-4.0
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task_categories:
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- tabular-regression
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language:
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- en
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pretty_name: BenchPress Score Matrix
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configs:
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- config_name: scores_all
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data_files:
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- split: train
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path: data/scores_all.parquet
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- config_name: scores_paper
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data_files:
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- split: train
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path: data/scores_paper.parquet
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- config_name: models
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data_files:
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- split: train
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path: data/models.parquet
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- config_name: benchmarks
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data_files:
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- split: train
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path: data/benchmarks.parquet
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---
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# BenchPress Score Matrix
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This dataset contains the public model-by-benchmark score matrix used by
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BenchPress. The release is a tabular artifact: model metadata, benchmark
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metadata, one row per observed score, and the paper-canonical dense subset used
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in the BenchPress experiments.
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The source repository is
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[`anadim/BenchPress`](https://github.com/anadim/BenchPress). This export was
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generated from commit `67d07b70a5fc5c1bca666f85b235502bb6b6577b`. The export came from a working tree with local data changes.
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## Files
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| File | Contents |
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|---|---|
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| `data/scores_all.csv` / `.parquet` | All numeric score rows in the audit pool, with source and audit metadata. |
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| `data/scores_paper.csv` / `.parquet` | Long-form rows for the paper-canonical matrix. |
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| `data/models.csv` / `.parquet` | Model metadata and canonical evaluation settings. |
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| `data/benchmarks.csv` / `.parquet` | Benchmark metadata and canonical benchmark settings. |
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| `data/score_matrix_paper_wide.csv` | Wide model × benchmark matrix for the paper-canonical subset. |
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| `metadata.json` | Export counts, source commit, and matrix construction metadata. |
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## Quick start
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```python
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from datasets import load_dataset
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scores = load_dataset("yzeng58/benchpress-score-matrix", "scores_paper")["train"].to_pandas()
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models = load_dataset("yzeng58/benchpress-score-matrix", "models")["train"].to_pandas()
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benchmarks = load_dataset("yzeng58/benchpress-score-matrix", "benchmarks")["train"].to_pandas()
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```
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For a complete audit-pool table:
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```python
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scores_all = load_dataset("yzeng58/benchpress-score-matrix", "scores_all")["train"].to_pandas()
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```
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## Schema
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`scores_all` and `scores_paper` include:
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- `model_id`, `model_name`, `provider`
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- `benchmark_id`, `benchmark_name`, `category`, `metric`
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- `score`
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- `reference_url`, `source_type`, `audit_status`, `matches_canonical`
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- `reported_setting_json`, `notes`
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`models` and `benchmarks` include an `in_paper_matrix` flag that identifies
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rows retained by the paper-canonical threshold filter.
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## Matrix construction
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The paper-canonical matrix applies the BenchPress construction pipeline:
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audit-status filtering, canonical representative selection, and the iterative
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threshold filter. Current export counts:
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- audit pool: 189 models, 316 benchmarks, 4903 numeric score rows
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- paper matrix: 84 models × 133 benchmarks, 2604 observed cells (23.3% fill)
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## Caveats
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Scores come from heterogeneous public sources: model cards, official blogs,
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technical reports, benchmark leaderboards, and third-party aggregators. Each row
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keeps the source URL, source type, audit status, and canonical-setting match
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flag so downstream users can choose their own filtering policy.
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data/benchmarks.csv
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The diff for this file is too large to render.
See raw diff
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data/benchmarks.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:fa1d5e1c616c86c6db29a8ebe8274f153e879a3d9a32ad2431bfe06860d2f931
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size 37708
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data/models.csv
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model_id,model_name,provider,release_date,params_total_M,params_active_M,architecture,is_reasoning,open_weights,canonical_setting_json,in_paper_matrix
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qwen-2.5-1.5b,Qwen2.5-1.5B-Instruct,Alibaba,2024-09-19,1500.0,1500.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
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qwen-2.5-14b,Qwen2.5-14B-Instruct,Alibaba,2024-09-19,14000.0,14000.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
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| 4 |
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qwen-2.5-14b-instruct,Qwen2.5-14B,Alibaba,2024-09-19,14000.0,14000.0,dense,False,True,"{""context"": ""default (128K)"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Phi-4 paper Table 1 baseline."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 5 |
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qwen-2.5-32b,Qwen2.5-32B-Instruct,Alibaba,2024-09-19,32000.0,32000.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
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qwen-2.5-7b,Qwen2.5-7B-Instruct,Alibaba,2024-09-19,7000.0,7000.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 7 |
+
qwen2-72b-instruct,Qwen2 72B Instruct,Alibaba,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 8 |
+
qwen2-7b-instruct,Qwen2 7B Instruct,Alibaba,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 9 |
+
qwen2.5-72b-instruct,Qwen2.5 72B Instruct,Alibaba,2024-09-19,,,,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per DeepSeek V3 paper Table 6."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 10 |
+
qwen2.5-coder-32b-instruct,Qwen2.5-Coder 32B Instruct,Alibaba,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 11 |
+
qwen2.5-coder-7b-instruct,Qwen2.5-Coder 7B Instruct,Alibaba,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 12 |
+
qwen2.5-omni-7b,Qwen2.5-Omni-7B,Alibaba,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 13 |
+
qwen2.5-vl-32b-instruct,Qwen2.5 VL 32B Instruct,Alibaba,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 14 |
+
qwen3-0.6b,Qwen3-0.6B,Alibaba,2025-05-15,600.0,600.0,Dense,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official (Qwen-Agent / sglang)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Qwen3 tech report (arxiv:2505.09388) Table 13/15/17/19 Thinking column."", ""prompt_style"": ""default (enable_thinking=True)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 15 |
+
qwen3-1.7b,Qwen3-1.7B,Alibaba,2025-05-15,1700.0,1700.0,Dense,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official (Qwen-Agent / sglang)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Qwen3 tech report (arxiv:2505.09388) Table 13/15/17/19 Thinking column."", ""prompt_style"": ""default (enable_thinking=True)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 16 |
+
qwen3-14b,Qwen3-14B,Alibaba,2025-05-15,14000.0,14000.0,Dense,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official (Qwen-Agent / sglang)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Qwen3 tech report (arxiv:2505.09388) Table 13/15/17/19 Thinking column."", ""prompt_style"": ""default (enable_thinking=True)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 17 |
+
qwen3-235b,Qwen3-235B-A22B,Alibaba,2025-05-15,235000.0,22000.0,MoE,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official (Qwen-Agent / sglang)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Qwen3 tech report (arxiv:2505.09388) Table 11 Thinking column. Output length 32768 (38912 for AIME)."", ""prompt_style"": ""default (enable_thinking=True)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 18 |
+
qwen3-30b-a3b,Qwen3-30B-A3B,Alibaba,2025-05-15,30000.0,3000.0,MoE,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official (Qwen-Agent / sglang)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Qwen3 tech report (arxiv:2505.09388) Table 13/15/17/19 Thinking column."", ""prompt_style"": ""default (enable_thinking=True)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 19 |
+
qwen3-32b,Qwen3-32B,Alibaba,2025-05-15,32000.0,32000.0,Dense,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official (Qwen-Agent / sglang)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Qwen3 tech report (arxiv:2505.09388) Table 13/15/17/19 Thinking column."", ""prompt_style"": ""default (enable_thinking=True)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 20 |
+
qwen3-4b,Qwen3-4B,Alibaba,2025-05-15,4000.0,4000.0,Dense,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official (Qwen-Agent / sglang)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Qwen3 tech report (arxiv:2505.09388) Table 13/15/17/19 Thinking column."", ""prompt_style"": ""default (enable_thinking=True)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 21 |
+
qwen3-8b,Qwen3-8B,Alibaba,2025-05-15,8000.0,8000.0,Dense,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official (Qwen-Agent / sglang)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Qwen3 tech report (arxiv:2505.09388) Table 13/15/17/19 Thinking column."", ""prompt_style"": ""default (enable_thinking=True)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 22 |
+
qwen3.5-397b,Qwen3.5-397B-A17B,Alibaba,2026-02-01,397000.0,17000.0,MoE,True,True,"{""context"": ""default (262K)"", ""effort"": ""default (96k thinking budget)"", ""harness"": ""official (sglang/vllm with --reasoning-parser qwen3)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Qwen3.5 HF model card. Vision-language MoE 397B/17B."", ""prompt_style"": ""default (thinking by default)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 23 |
+
qwen3.6-plus,Qwen3.6-Plus,Alibaba,2026-03-31,,,,True,False,,True
|
| 24 |
+
qwq-32b,QwQ-32B,Alibaba,2025-03-05,32800.0,32800.0,Dense,True,True,"{""context"": ""default (32K)"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per QwQ-32B release blog (qwenlm.github.io/blog/qwq-32b/) + Qwen3 tech report Table 13 baseline column."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 25 |
+
olmo-1b,OLMo 1B 0724,Allen AI,2024-07-01,1000.0,1000.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 26 |
+
olmo-2-13b,OLMo 2 13B,Allen AI,2025-01-01,13000.0,13000.0,Dense,False,True,,False
|
| 27 |
+
olmo-2-1b,OLMo 2 1B Instruct,Allen AI,2025-01-03,1000.0,1000.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 28 |
+
olmo-2-32b,OLMo 2 32B Instruct,Allen AI,2025-01-03,32000.0,32000.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 29 |
+
olmo-2-7b,OLMo 2 7B Instruct,Allen AI,2025-01-03,7000.0,7000.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 30 |
+
olmo-7b-0424,OLMo 7B 0424 Instruct,Allen AI,2024-04-17,7000.0,7000.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 31 |
+
tulu-3-8b,Tulu 3 8B,Allen AI,2024-11-22,8000.0,8000.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 32 |
+
amazon-nova-premier,Amazon Nova Premier,Amazon,2025-04-01,,,,False,False,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Amazon Nova Premier tech report (Apr 2025). SimpleQA cell reported with SerpApi web tool — see cell-level reported_setting."", ""prompt_style"": ""zeroshot-cot"", ""sampling"": ""pass@1"", ""temperature"": 0.0, ""tools"": ""none""}",False
|
| 33 |
+
amazon-nova-pro,Amazon Nova Pro,Amazon,2025-01-01,,,,False,False,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Amazon Nova Premier tech report (cross-reports Nova Pro) and Nova family arxiv 2506.12103. SimpleQA cell reported with SerpApi web tool — see cell-level reported_setting."", ""prompt_style"": ""zeroshot-cot"", ""sampling"": ""pass@1"", ""temperature"": 0.0, ""tools"": ""none""}",False
|
| 34 |
+
nova-lite,Nova Lite,Amazon,,,,,False,False,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 35 |
+
nova-micro,Nova Micro,Amazon,,,,,False,False,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 36 |
+
claude-3-haiku,Claude 3 Haiku,Anthropic,,,,,False,False,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 37 |
+
claude-3-opus,Claude 3 Opus,Anthropic,,,,,False,False,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 38 |
+
claude-3-sonnet,Claude 3 Sonnet,Anthropic,,,,,False,False,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 39 |
+
claude-3.5-haiku,Claude 3.5 Haiku,Anthropic,,,,,False,False,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 40 |
+
claude-3.5-sonnet,Claude 3.5 Sonnet (1022),Anthropic,2024-10-22,,,,False,False,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per DeepSeek V3 paper Table 6."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 41 |
+
claude-3.7-sonnet,Claude 3.7 Sonnet,Anthropic,2025-02-24,,,,True,False,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Claude 4 blog cross-model table: with extended thinking for GPQA/MMMU/AIME/TAU; no extended thinking for SWE/Terminal/MMMLU."", ""prompt_style"": ""zeroshot-cot"", ""sampling"": ""pass@1"", ""temperature"": 0.0, ""tools"": ""none""}",True
|
| 42 |
+
claude-haiku-4.5,Claude Haiku 4.5,Anthropic,2025-10-15,,,,True,False,"{""effort"": ""128K thinking budget"", ""harness"": ""official"", ""judge"": ""official harness"", ""mode"": ""thinking"", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg over ≥10 runs unless noted)"", ""temperature"": ""default (Anthropic default)"", ""tools"": ""none (per-bench override for agentic benchmarks)""}",True
|
| 43 |
+
claude-mythos,Claude Mythos Preview,Anthropic,2026-04-07,,,,True,False,"{""context"": ""up to 1M"", ""effort"": ""adaptive thinking at max effort"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Mythos System Card Table 6.3.A: standard config is adaptive thinking max effort, default sampling (temperature, top_p), avg 5 trials, context up to 1M."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",False
|
| 44 |
+
claude-opus-4,Claude Opus 4,Anthropic,2025-05-22,,,,True,False,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""Claude Code agent framework (for agentic benchmarks)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Anthropic Claude 4 announcement table: single-pass values; no extended thinking for SWE/Terminal/MMMLU; extended thinking up to 64K for GPQA/MMMU/AIME/TAU; tools=agentic for SWE/Terminal/TAU/OSWorld. Agentic harness=Claude Code per Claude 4 blog."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single-pass)"", ""temperature"": ""top_p=0.95"", ""tools"": ""none (per-bench override)""}",True
|
| 45 |
+
claude-opus-4.1,Claude Opus 4.1,Anthropic,2025-08-05,,,,True,False,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""Terminus 1 (for agentic benchmarks)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Anthropic Opus 4.1 announcement table. Single-pass values; harness=Terminus 1 for Terminal-Bench (note: differs from Claude 4 blog which used Claude Code framework)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single-pass)"", ""temperature"": ""top_p=0.95"", ""tools"": ""none (per-bench override)""}",True
|
| 46 |
+
claude-opus-4.5,Claude Opus 4.5,Anthropic,2025-11-24,,,,True,False,"{""context"": ""200K (default)"", ""effort"": ""high (default)"", ""harness"": ""Terminus-2 (for terminal-bench); official otherwise"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Anthropic Opus 4.5 announcement: 64K thinking budget, interleaved scratchpads, 200K context, default effort=high, default sampling, avg 5 trials. Exceptions: SWE-bench Verified=no thinking; Terminal-Bench=128K thinking budget."", ""prompt_style"": ""interleaved scratchpads"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default (top_p, temperature)"", ""tools"": ""none (per-bench override)""}",True
|
| 47 |
+
claude-opus-4.6,Claude Opus 4.6,Anthropic,2026-02-05,,,,True,False,"{""context"": ""up to 1M"", ""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Mythos System Card Table 6.3.A: standard config = adaptive thinking max effort, default sampling, avg 5 trials, context up to 1M."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 48 |
+
claude-opus-4.7,Claude Opus 4.7,Anthropic,2026-04-22,,,,True,False,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""Terminus-2 (for terminal-bench, thinking disabled)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Anthropic Opus 4.7 announcement table. Default thinking mode with extended thinking; Terminal-Bench uses Terminus-2 harness with thinking disabled (1× guaranteed/3× ceiling, avg 5 attempts)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 49 |
+
claude-sonnet-3.7,Claude Sonnet 3.7,Anthropic,2025-02-24,,,,False,False,,False
|
| 50 |
+
claude-sonnet-4,Claude Sonnet 4,Anthropic,2025-05-22,,,,False,False,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""Claude Code agent framework (for agentic benchmarks)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Anthropic Claude 4 announcement table: single-pass values; no extended thinking for SWE/Terminal/MMMLU; extended thinking up to 64K for GPQA/MMMU/AIME/TAU; tools=agentic for SWE/Terminal/TAU/OSWorld. Agentic harness=Claude Code per Claude 4 blog."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single-pass)"", ""temperature"": ""top_p=0.95"", ""tools"": ""none (per-bench override)""}",True
|
| 51 |
+
claude-sonnet-4.5,Claude Sonnet 4.5,Anthropic,2025-09-29,,,,True,False,"{""context"": ""200K (default)"", ""effort"": ""high (default)"", ""harness"": ""Terminus-2 (for terminal-bench); official otherwise"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Anthropic Opus 4.5 announcement: 64K thinking budget, interleaved scratchpads, 200K context, default effort=high, default sampling, avg 5 trials. Exceptions: SWE-bench Verified=no thinking; Terminal-Bench=128K thinking budget."", ""prompt_style"": ""interleaved scratchpads"", ""sampling"": ""pass@1 (avg 5 trials)"", ""temperature"": ""default (top_p, temperature)"", ""tools"": ""none (per-bench override)""}",True
|
| 52 |
+
claude-sonnet-4.6,Claude Sonnet 4.6,Anthropic,2026-02-17,,,,True,False,"{""context"": ""default"", ""effort"": ""max"", ""harness"": ""Terminus-2 (terminal-bench, thinking off); official otherwise"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Anthropic Sonnet 4.6 announcement: max thinking effort default; Terminal-Bench=thinking off, Terminus-2; SWE-bench=avg 10 trials; BrowseComp/HLE-with-tools have specific tool configs (web search/fetch + 50k context compaction)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg 5-15 trials)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 53 |
+
doubao-seed-2.0-pro,Doubao Seed 2.0 Pro,ByteDance,2026-02-14,,,,True,False,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Doubao Seed 2.0 Pro model card. High thinking config."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 54 |
+
seed-thinking-v1.5,Seed-Thinking-v1.5,ByteDance,2025-04-01,,,,True,False,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Seed-Thinking-v1.5 paper."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",False
|
| 55 |
+
command-a,Command A,Cohere,2025-03-13,111000.0,,Dense,False,True,"{""context"": ""default (256K)"", ""effort"": ""n/a"", ""harness"": ""simple-evals (for MMLU/MMLU-Pro/GPQA); internal reproductions for code/SQL"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Command A tech report (cohere.com/research/papers/command-a-technical-report.pdf)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 56 |
+
command-r7b,Command R7B,Cohere,2024-12-13,7000.0,7000.0,dense,False,True,"{""context"": ""128K"", ""effort"": ""n/a"", ""harness"": ""simple-evals"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Command A tech report (Cohere first-party)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 57 |
+
deepseek-3.1,DeepSeek 3.1,DeepSeek,2025-08-21,685000.0,37000.0,MoE,False,True,,False
|
| 58 |
+
deepseek-r1,DeepSeek-R1,DeepSeek,2025-01-20,671000.0,37000.0,MoE,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per DeepSeek R1-0528 model card."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 59 |
+
deepseek-r1-0528,DeepSeek-R1-0528,DeepSeek,2025-05-28,671000.0,37000.0,MoE,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per DeepSeek R1-0528 model card."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 60 |
+
deepseek-r1-distill-llama-70b,DeepSeek-R1-Distill-Llama-70B,DeepSeek,2025-01-20,70000.0,70000.0,Dense,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official (DeepSeek SGLang/vLLM)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Distill of DeepSeek-R1 onto Llama-70B base. Cells in BP currently primarily sourced from Qwen3 tech report Table 13 third-party self-test (matches_canonical=false). DeepSeek own paper audit pending — canonical_setting may need refinement."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 61 |
+
deepseek-r1-distill-llama-8b,DeepSeek-R1-Distill-Llama-8B,DeepSeek,2025-01-20,8000.0,8000.0,Dense,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per DeepSeek R1 paper Table 15 (distilled model)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 62 |
+
deepseek-r1-distill-qwen-1.5b,DeepSeek-R1-Distill-Qwen-1.5B,DeepSeek,2025-01-20,1500.0,1500.0,Dense,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per DeepSeek R1 paper Table 15 (distilled model)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 63 |
+
deepseek-r1-distill-qwen-14b,DeepSeek-R1-Distill-Qwen-14B,DeepSeek,2025-01-20,14000.0,14000.0,Dense,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per DeepSeek R1 paper Table 15 (distilled model)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 64 |
+
deepseek-r1-distill-qwen-32b,DeepSeek-R1-Distill-Qwen-32B,DeepSeek,2025-01-20,32000.0,32000.0,Dense,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per DeepSeek R1 paper Table 15 (distilled model)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 65 |
+
deepseek-r1-distill-qwen-7b,DeepSeek-R1-Distill-Qwen-7B,DeepSeek,2025-01-20,7000.0,7000.0,Dense,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per DeepSeek R1 paper Table 15 (distilled model)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 66 |
+
deepseek-v2-0506,DeepSeek-V2-0506,DeepSeek,2024-05-06,,,,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per DeepSeek V3 paper Table 6."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 67 |
+
deepseek-v2.5-0905,DeepSeek-V2.5-0905,DeepSeek,2024-09-05,,,,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per DeepSeek V3 paper Table 6."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 68 |
+
deepseek-v3,DeepSeek-V3,DeepSeek,2025-01-01,671000.0,37000.0,MoE,False,True,,True
|
| 69 |
+
deepseek-v3-0324,DeepSeek-V3-0324,DeepSeek,2025-03-24,671000.0,37000.0,MoE,False,True,,False
|
| 70 |
+
deepseek-v3.2,DeepSeek-V3.2,DeepSeek,2025-12-01,671000.0,37000.0,MoE,True,True,"{""context"": ""128K"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per DeepSeek V3.2 tech report: temperature=1.0, context=128K, thinking mode for tool-use."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",True
|
| 71 |
+
deepseek-v3.2-speciale,DeepSeek-V3.2-Speciale,DeepSeek,2025-12-01,671000.0,37000.0,MoE,True,True,"{""context"": ""128K"", ""effort"": ""max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""DS V3.2-Speciale: high-compute reasoning variant of V3.2. Per V3.2 tech report Table 3."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",False
|
| 72 |
+
deepseek-v4-flash,DeepSeek-V4-Flash,DeepSeek,2026-04-22,284000.0,13000.0,MoE,True,True,"{""context"": ""default"", ""effort"": ""Max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per DeepSeek V4-Pro model card. Three reasoning modes available (Non-Think/High/Max); BP canonical = Max mode (most powerful). Other modes' values stored as candidates if needed."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 73 |
+
deepseek-v4-pro,DeepSeek-V4-Pro,DeepSeek,2026-04-22,1600000.0,49000.0,MoE,True,True,"{""context"": ""default"", ""effort"": ""Max"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per DeepSeek V4-Pro model card. Three reasoning modes available (Non-Think/High/Max); BP canonical = Max mode (most powerful). Other modes' values stored as candidates if needed."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 74 |
+
gemini-1.5-flash,Gemini 1.5 Flash,Google,2024-05-14,,,moe,False,False,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Gemini 2.0 Flash Model Card (April 15 2025): non-thinking generation, default sampling. Same canonical setting applies to 1.5 / 2.0 family."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 75 |
+
gemini-1.5-flash-8b,Gemini 1.5 Flash 8B,Google,2024-10-03,8000.0,8000.0,dense,False,False,"{""context"": ""1M"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Command A paper baseline."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 76 |
+
gemini-1.5-pro,Gemini 1.5 Pro,Google,2024-05-14,,,moe,False,False,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Gemini 2.0 Flash Model Card (April 15 2025): non-thinking generation, default sampling. Same canonical setting applies to 1.5 / 2.0 family."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 77 |
+
gemini-2.0-flash,Gemini 2.0 Flash,Google,2025-02-01,,,,False,False,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Gemini 2.0 Flash Model Card (April 15 2025): non-thinking generation, default sampling. Same canonical setting applies to 1.5 / 2.0 family."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 78 |
+
gemini-2.0-flash-lite,Gemini 2.0 Flash-Lite,Google,2025-02-25,,,moe,False,False,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Gemini 2.0 Flash Model Card (April 15 2025): non-thinking generation, default sampling. Same canonical setting applies to 1.5 / 2.0 family."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 79 |
+
gemini-2.0-pro,Gemini 2.0 Pro,Google,2025-02-05,,,moe,False,False,"{""context"": ""default (1M)"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Gemma 3 tech report Table 6 IT (Google self-report). Gemini 2.0 Pro experimental."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 80 |
+
gemini-2.5-flash,Gemini 2.5 Flash,Google,2025-05-20,,,,True,False,"{""context"": ""default (1M)"", ""effort"": ""default"", ""harness"": ""AI Studio API (gemini-2.5-flash GA)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Gemini 2.5 Flash Model Card (Dec 2025) GA Thinking column."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single attempt; multi-trial avg for smaller bench)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 81 |
+
gemini-2.5-pro,Gemini 2.5 Pro (GA),Google,2025-06-27,,,,True,False,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""AI Studio API"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Gemini 2.5 Pro Model Card (GA, June 27 2025): pass@1 single attempt, AI Studio API model-id gemini-2.5-pro-preview-06-05 / gemini-2.5-pro GA, default sampling. Release date set to GA date 2025-06-27."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single attempt)"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 82 |
+
gemini-3-flash,Gemini 3 Flash,Google,2025-11-18,,,,True,False,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Google DeepMind /models/gemini/flash/ table: Gemini 3 Flash Thinking, no tools by default."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 83 |
+
gemini-3-pro,Gemini 3 Pro,Google,2025-11-18,,,,True,False,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Google DeepMind /models/gemini/pro/ table: Gemini 3 Pro Thinking (High), no tools by default."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 84 |
+
gemini-3.1-pro,Gemini 3.1 Pro,Google,2026-02-19,,,,True,False,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Google DeepMind /models/gemini/pro/ table: Gemini 3.1 Pro Thinking (High), no tools by default."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 85 |
+
gemini-diffusion,Gemini Diffusion,Google,,,,,False,False,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 86 |
+
gemma-2-27b,Gemma 2 27B,Google,2024-06-27,27000.0,27000.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Gemma 3 tech report Table 6 IT instruction-tuned column."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 87 |
+
gemma-2-2b,Gemma 2 2B,Google,2024-06-27,2000.0,2000.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Gemma 3 tech report Table 6 IT instruction-tuned column."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 88 |
+
gemma-2-9b,Gemma 2 9B,Google,2024-06-27,9000.0,9000.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Gemma 3 tech report Table 6 IT instruction-tuned column."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 89 |
+
gemma-3-12b,Gemma 3 12B,Google,2025-03-12,12000.0,12000.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Gemma 3 tech report Table 6 IT instruction-tuned column."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 90 |
+
gemma-3-1b,Gemma 3 1B,Google,2025-03-12,1000.0,1000.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Gemma 3 tech report Table 6 IT instruction-tuned column."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 91 |
+
gemma-3-1b-it,Gemma 3 1B,Google,2025,,,,,,"{""context"": ""32k"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Google Gemma 3 1B instruction-tuned."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 92 |
+
gemma-3-27b,Gemma 3 27B,Google,2025-03-12,27000.0,27000.0,Dense,False,True,"{""context"": ""default (128K)"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Gemma 3 tech report (arxiv:2503.19786) Table 6 IT column for 27B."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 93 |
+
gemma-3-4b,Gemma 3 4B,Google,2025-03-12,4000.0,4000.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Gemma 3 tech report Table 6 IT instruction-tuned column."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 94 |
+
gemma-3n-e2b-instructed,Gemma 3n E2B Instructed,Google,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 95 |
+
gemma-3n-e2b-instructed-litert-preview,Gemma 3n E2B Instructed LiteRT (Preview),Google,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 96 |
+
gemma-3n-e4b-instructed,Gemma 3n E4B Instructed,Google,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 97 |
+
gemma-3n-e4b-instructed-litert-preview,Gemma 3n E4B Instructed LiteRT Preview,Google,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 98 |
+
gemma-4-26b-a4b,Gemma 4 26B A4B,Google,2026-04-22,26000.0,4000.0,MoE,True,True,"{""context"": ""default (128K E2B/E4B; 256K 31B/26B)"", ""effort"": ""default"", ""harness"": ""official (transformers/llama.cpp/MLX/SGLang)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Gemma 4 HF blog benchmark table. Reasoning model with enable_thinking=True default."", ""prompt_style"": ""default (enable_thinking=True)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",False
|
| 99 |
+
gemma-4-31b,Gemma 4 31B,Google,2026-04-22,31000.0,31000.0,Dense,True,True,"{""context"": ""default (128K E2B/E4B; 256K 31B/26B)"", ""effort"": ""default"", ""harness"": ""official (transformers/llama.cpp/MLX/SGLang)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Gemma 4 HF blog benchmark table. Reasoning model with enable_thinking=True default."", ""prompt_style"": ""default (enable_thinking=True)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",False
|
| 100 |
+
gemma-4-e2b,Gemma 4 E2B,Google,2026-04-22,2000.0,2000.0,Dense,True,True,"{""context"": ""default (128K E2B/E4B; 256K 31B/26B)"", ""effort"": ""default"", ""harness"": ""official (transformers/llama.cpp/MLX/SGLang)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Gemma 4 HF blog benchmark table. Reasoning model with enable_thinking=True default."", ""prompt_style"": ""default (enable_thinking=True)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",False
|
| 101 |
+
gemma-4-e4b,Gemma 4 E4B,Google,2026-04-22,4000.0,4000.0,Dense,True,True,"{""context"": ""default (128K E2B/E4B; 256K 31B/26B)"", ""effort"": ""default"", ""harness"": ""official (transformers/llama.cpp/MLX/SGLang)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Gemma 4 HF blog benchmark table. Reasoning model with enable_thinking=True default."", ""prompt_style"": ""default (enable_thinking=True)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",False
|
| 102 |
+
smollm2-1.7b,SmolLM2 1.7B Instruct,Hugging Face,2024-11-01,1700.0,1700.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 103 |
+
granite-3.3-8b-base,Granite 3.3 8B Base,IBM,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 104 |
+
granite-3.3-8b-instruct,Granite 3.3 8B,IBM,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 105 |
+
granite-4.0-1b,Granite-4.0-1B,IBM,2025,,,,,,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""IBM Granite 4.0 1B instruct."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 106 |
+
granite-4.0-h-1b,Granite-4.0-H-1B,IBM,2025,,,,,,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""IBM Granite 4.0 Hybrid 1B instruct."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 107 |
+
ibm-granite-4.0-tiny-preview,IBM Granite 4.0 Tiny Preview,IBM,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 108 |
+
exaone-4.0-32b,EXAONE 4.0 32B,LG AI Research,2025-07-15,32000.0,32000.0,"Hybrid (Local+Global Attention 3:1, QK-Reorder-LN)",True,True,"{""context"": ""128k"", ""effort"": ""default"", ""harness"": ""LG AI Research internal"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per LG AI Research arxiv:2507.11407 (Table 3): Reasoning mode is canonical (lead results). 32B max context 131,072 tokens."", ""prompt_style"": ""default"", ""sampling"": ""avg-of-N (n=32 AIME/HMMT, n=8 GPQA, n=4 LCB/Tau-bench, n=1 others)"", ""temperature"": ""0.6, top_p=0.95, presence_penalty=1.5 (Reasoning mode)"", ""tools"": ""none (per-bench override)""}",False
|
| 109 |
+
exaone-deep-32b,EXAONE-Deep-32B,LG AI Research,2025-03-18,32000.0,32000.0,dense,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Phi-4-reasoning paper Table 1 baseline (Microsoft self-test). Distinct from BP exaone-4.0-32b."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 110 |
+
lfm2.5-1.2b-instruct,LFM2.5-1.2B-Instruct,Liquid AI,2025-11,,,,,,"{""context"": ""32k"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Liquid AI LFM2.5 introduction blog. Instruct (non-thinking) variant."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 111 |
+
lfm2.5-1.2b-thinking,LFM2.5-1.2B-Thinking,Liquid AI,2026-01-06,1200.0,1200.0,Hybrid,True,True,,False
|
| 112 |
+
longcat-flash-chat,LongCat-Flash-Chat,Meituan,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 113 |
+
llama-3.1-405b-instruct,LLaMA-3.1 405B Instruct,Meta,2024-07-23,,,,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per DeepSeek V3 paper Table 6."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 114 |
+
llama-3.1-70b,Llama 3.1 70B Instruct,Meta,2024-07-23,70000.0,70000.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 115 |
+
llama-3.1-8b,Llama 3.1 8B Instruct,Meta,2024-07-23,8000.0,8000.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 116 |
+
llama-3.2-1b,Llama 3.2 1B Instruct,Meta,2024-09-25,1000.0,1000.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 117 |
+
llama-3.2-1b-instruct,Llama 3.2 1B,Meta,2024-09,,,,,,"{""context"": ""128k"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Meta Llama 3.2 1B Instruct."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 118 |
+
llama-3.3-70b-instruct,Llama-3.3-70B-Instruct,Meta,2024-12-06,70000.0,70000.0,dense,False,True,"{""context"": ""default (128K)"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Phi-4 paper Table 1 baseline."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 119 |
+
llama-4-behemoth,Llama 4 Behemoth,Meta,2025-04-05,2000000.0,288000.0,MoE,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official-meta"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""multimodal_input"": true, ""prompt_style"": ""zeroshot"", ""sampling"": ""pass@1"", ""temperature"": ""0.0"", ""tools"": ""none""}",False
|
| 120 |
+
llama-4-maverick,Llama 4 Maverick,Meta,2025-04-05,402000.0,17000.0,MoE,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official-meta"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""multimodal_input"": true, ""prompt_style"": ""zeroshot"", ""sampling"": ""pass@1"", ""temperature"": ""0.0"", ""tools"": ""none""}",True
|
| 121 |
+
llama-4-scout,Llama 4 Scout,Meta,2025-04-05,109000.0,17000.0,MoE,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official-meta"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""multimodal_input"": true, ""prompt_style"": ""zeroshot"", ""sampling"": ""pass@1"", ""temperature"": ""0.0"", ""tools"": ""none""}",False
|
| 122 |
+
muse-spark,Muse Spark,Meta,2026-04-01,,,,True,False,"{""effort"": ""default"", ""harness"": ""internal (Meta MSL)"", ""judge"": ""rule-based or gpt-oss-120b (per benchmark)"", ""mode"": ""thinking"", ""notes"": ""Per Meta MSL blog https://ai.meta.com/blog/introducing-muse-spark-msl/. Standard Thinking mode. Contemplating mode results flagged for review."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (single-pass)"", ""temperature"": ""default"", ""tools"": ""none (per-benchmark override where tools are required)""}",True
|
| 123 |
+
phi-3-14b,Phi-3 Medium 14B,Microsoft,2024-05-21,14000.0,14000.0,dense,False,True,"{""context"": ""128K"", ""effort"": ""n/a"", ""harness"": ""simple-evals"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Phi-4 paper Table 1 (Microsoft self-test baseline)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""0.5"", ""tools"": ""none""}",False
|
| 124 |
+
phi-3.5-mini-instruct,Phi-3.5-mini-instruct,Microsoft,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 125 |
+
phi-3.5-moe-instruct,Phi-3.5-MoE-instruct,Microsoft,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 126 |
+
phi-4,Phi-4,Microsoft,2025-01-01,14000.0,14000.0,Dense,False,True,"{""context"": ""default (16K)"", ""effort"": ""n/a"", ""harness"": ""OpenAI simple-evals"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Phi-4 paper (arxiv:2412.08905) Table 1, simple-evals framework, temperature 0.5."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""0.5"", ""tools"": ""none""}",False
|
| 127 |
+
phi-4-mini,Phi-4-mini,Microsoft,2025-03-01,3800.0,3800.0,Dense,False,True,"{""context"": ""default (128K)"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Phi-4-mini-instruct HF model card."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 128 |
+
phi-4-reasoning,Phi-4-reasoning,Microsoft,2025-04-30,14000.0,14000.0,Dense,True,True,"{""context"": ""default (32K)"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Phi-4-reasoning paper (arxiv:2504.21318) Tables 1-2. Thinking model, temp 0.8, max_seq_len 31k."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg of 5)"", ""temperature"": ""0.8"", ""tools"": ""none""}",False
|
| 129 |
+
phi-4-reasoning-plus,Phi-4-reasoning-plus,Microsoft,2025-04-30,14000.0,14000.0,Dense,True,True,"{""context"": ""default (32K)"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Phi-4-reasoning paper. Same as phi-4-reasoning + GRPO RL on top."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg of 5)"", ""temperature"": ""0.8"", ""tools"": ""none""}",False
|
| 130 |
+
minimax-m2,MiniMax-M2,MiniMax,2025-10-01,,,,True,False,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per MiniMax M2 model card."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 131 |
+
minimax-m2.1,MiniMax M2.1,MiniMax,2025-12-01,,,,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per MiniMax M2.5 model card (referenced as predecessor)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 132 |
+
minimax-m2.5,MiniMax-M2.5,MiniMax,2026-04-22,,,,True,False,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per MiniMax M2.5 model card."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",False
|
| 133 |
+
minimax-m2.7,MiniMax M2.7,MiniMax,2026-04-01,,,,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per GLM-5.1 blog (cross-model)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",False
|
| 134 |
+
codestral-25.01,Codestral 25.01,Mistral,2025-01-15,22000.0,22000.0,Dense,False,True,,False
|
| 135 |
+
devstral-2,Devstral 2,Mistral,2025-12-01,123000.0,,Dense,False,True,,False
|
| 136 |
+
ministral-8b,Ministral 8B Instruct 2410,Mistral,2024-10-16,8000.0,8000.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 137 |
+
mistral-large-2,Mistral Large 2,Mistral,2024-07-24,123000.0,123000.0,dense,False,True,"{""context"": ""128K"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Command A paper (third-party Cohere reproduction baseline)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 138 |
+
mistral-large-3,Mistral Large 3,Mistral,2025-12-01,675000.0,,MoE,False,True,,False
|
| 139 |
+
mistral-medium-3,Mistral Medium 3,Mistral,2025-05-01,,,,False,False,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""mistral-eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""multimodal_input"": true, ""notes"": ""Per Mistral Medium 3 blog: https://mistral.ai/news/mistral-medium-3. \""Same internal evaluation pipeline\"" across all benchmarks."", ""prompt_style"": ""mixed (5-shot CoT for GPQA Diamond / MMLU Pro per Mistral blog; 0-shot for others)"", ""sampling"": ""pass@1"", ""temperature"": ""0.0"", ""tools"": ""none""}",False
|
| 140 |
+
mistral-small-24b,Mistral Small 24B Instruct,Mistral,2025-01-30,24000.0,24000.0,dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 141 |
+
mistral-small-3.1,Mistral Small 3.1,Mistral,2025-03-01,24000.0,24000.0,Dense,False,True,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""mistral-eval"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""multimodal_input"": true, ""prompt_style"": ""mixed (5-shot CoT for MMLU/Pro/GPQA per HF MC; default for others)"", ""sampling"": ""pass@1"", ""temperature"": ""0.0"", ""tools"": ""none""}",False
|
| 142 |
+
codestral-22b,Codestral-22B,Mistral AI,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 143 |
+
mistral-small-3-24b-instruct,Mistral Small 3 24B Instruct,Mistral AI,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 144 |
+
pixtral-12b,Pixtral-12B,Mistral AI,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 145 |
+
kimi-k2,Kimi K2,Moonshot AI,2025-07-16,,,MoE,False,True,"{""context"": ""default (256K)"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per Kimi K2 tech report (arxiv:2507.20534) Table 3 Kimi-K2-Instruct column. Non-thinking model."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg of 4-64 trials per benchmark)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 146 |
+
kimi-k2-thinking,Kimi K2 Thinking,Moonshot AI,2025-11-01,,,MoE,True,True,"{""context"": ""default (256K)"", ""effort"": ""default (96k thinking-token budget for HLE/AIME/HMMT/GPQA; 128k for IMO/LCB/OJ)"", ""harness"": ""official"", ""judge"": ""rule-based (HLE uses o3-mini)"", ""mode"": ""thinking"", ""notes"": ""Per Kimi K2 Thinking blog (moonshotai.github.io/Kimi-K2/thinking.html). Thinking model."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@32 for AIME/HMMT no-tools)"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",False
|
| 147 |
+
kimi-k2.5,Kimi K2.5,Moonshot AI,2026-01-01,,,MoE,True,True,"{""context"": ""256K"", ""effort"": ""default (96k for reasoning, 64k for vision)"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Kimi K2.5 model card (HF moonshotai/Kimi-K2.5). Thinking mode, t=1.0 top_p=0.95."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@32 AIME/HMMT, avg@8 GPQA, avg@3 vision, avg@4 Seal/WideSearch)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",True
|
| 148 |
+
kimi-k2.6,Kimi K2.6,Moonshot AI,2026-04-22,,,MoE,True,True,"{""context"": ""262144 (256K)"", ""effort"": ""max (98304 generation tokens)"", ""harness"": ""official (in-house SWE-agent-derived for SWE-Bench)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Kimi K2.6 model card (HF moonshotai/Kimi-K2.6). Thinking mode, max effort, t=1.0 top_p=1.0."", ""prompt_style"": ""default"", ""sampling"": ""pass@1 (avg@10 coding, avg@3 vision)"", ""temperature"": ""1.0"", ""tools"": ""none (per-bench override)""}",True
|
| 149 |
+
nemotron-ultra-253b,Nemotron Ultra 253B,NVIDIA,2025-04-10,253000.0,,MoE,True,True,"{""context"": ""32k"", ""effort"": ""default"", ""harness"": ""NVIDIA eval pipeline (transformers/vLLM)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per NVIDIA HF model card https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1: Reasoning On mode, temperature=0.6, top_p=0.95, 32k context, benchmarks run up to 16x and averaged."", ""prompt_style"": ""custom prompt templates per benchmark"", ""sampling"": ""pass@1 (avg of up to 16 benchmark runs)"", ""temperature"": ""0.6 (thinking mode)"", ""tools"": ""none (benchmark-specified)""}",False
|
| 150 |
+
openthinker2-32b,OpenThinker2-32B,Open Thoughts,2025-04-04,32000.0,32000.0,dense,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Phi-4-reasoning paper Table 1 baseline (Microsoft self-test)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 151 |
+
gpt-3.5-turbo,GPT-3.5 Turbo (0125),OpenAI,2024-01-25,,,,False,False,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""OLMES (Allen AI)"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OLMo 2 paper Table 7 Instruct (instruction-tuned variant)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 152 |
+
gpt-4-turbo,GPT-4 Turbo,OpenAI,,,,,False,False,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 153 |
+
gpt-4.1,GPT-4.1,OpenAI,2025-04-14,,,,False,False,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-5 dev blog. non-reasoning model."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 154 |
+
gpt-4.1-mini,GPT-4.1 mini,OpenAI,2025-04-14,,,,False,False,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-5 dev blog. non-reasoning model."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 155 |
+
gpt-4.1-nano,GPT-4.1 nano,OpenAI,2025-04-14,,,,False,False,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-5 dev blog. non-reasoning model."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 156 |
+
gpt-4.5,GPT-4.5,OpenAI,2025-02-27,,,,False,False,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-4.1 blog table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 157 |
+
gpt-4o,GPT-4o (2024-11-20),OpenAI,2024-11-20,,,,False,False,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-4.1 blog table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 158 |
+
gpt-4o-0513,GPT-4o (2024-05-13),OpenAI,2024-05-13,,,,False,False,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per DeepSeek V3 paper Table 6."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",True
|
| 159 |
+
gpt-4o-mini,GPT-4o mini,OpenAI,2024-07-18,,,,False,False,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per OpenAI GPT-4.1 blog table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 160 |
+
gpt-5,GPT-5,OpenAI,2025-08-01,,,,True,False,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI GPT-5 dev blog. high reasoning effort."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 161 |
+
gpt-5-mini,GPT-5 mini,OpenAI,2025-07-10,,,,True,False,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI GPT-5 developer blog https://openai.com/index/introducing-gpt-5-for-developers/"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 162 |
+
gpt-5-nano,GPT-5 nano,OpenAI,2025-07-10,,,,True,False,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI GPT-5 developer blog https://openai.com/index/introducing-gpt-5-for-developers/"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 163 |
+
gpt-5.1,GPT-5.1,OpenAI,2025-11-13,,,,True,False,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI GPT-5.1 dev blog: \""high\"" reasoning effort (not xhigh like 5.2/5.4/5.5)."", ""prompt_style"": ""default (with prompt adjustment for τ²-bench)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 164 |
+
gpt-5.2,GPT-5.2,OpenAI,2025-12-11,,,,True,False,"{""context"": ""default"", ""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI gpt-5.2 blog: reasoning effort=xhigh, research environment."", ""prompt_style"": ""default (with prompt adjustment for τ²-bench)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 165 |
+
gpt-5.2-codex,GPT-5.2-Codex,OpenAI,2025-07-10,,,,True,False,"{""context"": ""default"", ""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI GPT-5.3-Codex blog https://openai.com/index/introducing-gpt-5-3-codex/ — shows GPT-5.2-Codex (xhigh) as cross-model baseline"", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",False
|
| 166 |
+
gpt-5.3-codex,GPT-5.3-Codex,OpenAI,2026-02-05,,,,True,False,"{""context"": ""default"", ""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI gpt-5.3-codex blog: reasoning effort=xhigh, research environment."", ""prompt_style"": ""default (with prompt adjustment for τ²-bench)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",False
|
| 167 |
+
gpt-5.4,GPT-5.4,OpenAI,2026-03-01,,,,True,False,"{""context"": ""default"", ""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI gpt-5.4 blog: reasoning effort=xhigh, research environment (may differ from production ChatGPT)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 168 |
+
gpt-5.5,GPT-5.5,OpenAI,2026-04-22,,,,True,False,"{""context"": ""default"", ""effort"": ""xhigh"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI gpt-5.5 blog: reasoning effort=xhigh, research environment (may differ from production ChatGPT)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 169 |
+
gpt-oss-120b,gpt-oss-120B,OpenAI,2025-08-05,116800.0,5100.0,MoE,True,True,"{""context"": ""default (128K)"", ""effort"": ""high"", ""harness"": ""official (harmony chat format)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI gpt-oss model card (arxiv:2508.10925) Table 3, high reasoning effort. Default with-tools for agentic; AIME/GPQA also has no-tools variant in same table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""with tools (per-bench override; harmony chat format default)""}",True
|
| 170 |
+
gpt-oss-20b,gpt-oss-20B,OpenAI,2025-08-05,20900.0,3600.0,MoE,True,True,"{""context"": ""default (128K)"", ""effort"": ""high"", ""harness"": ""official (harmony chat format)"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI gpt-oss model card (arxiv:2508.10925) Table 3, high reasoning effort. Default with-tools for agentic; AIME/GPQA also has no-tools variant in same table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""with tools (per-bench override; harmony chat format default)""}",False
|
| 171 |
+
o1-high,OpenAI o1 (high),OpenAI,2024-12-17,,,,True,False,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI GPT-4.1 blog table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 172 |
+
o1-mini,o1-mini,OpenAI,2024-09-12,,,,True,False,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per Phi-4-reasoning paper Table 1 baseline (Microsoft self-test)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 173 |
+
o3-high,o3 (high),OpenAI,2025-04-16,,,,True,False,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI GPT-5 dev blog. high reasoning effort."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 174 |
+
o3-mini-high,o3-mini (high),OpenAI,2025-01-31,,,,True,False,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI GPT-4.1 blog table."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 175 |
+
o4-mini-high,o4-mini (high),OpenAI,2025-04-16,,,,True,False,"{""context"": ""default"", ""effort"": ""high"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per OpenAI GPT-5 dev blog. high reasoning effort."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 176 |
+
minicpm-sala,MiniCPM-SALA,OpenBMB,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 177 |
+
sarvam-30b,Sarvam-30B,Sarvam AI,,,,,False,True,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 178 |
+
internlm3-8b,InternLM3-8B-Instruct,Shanghai AI Lab,2025-01-15,8000.0,8000.0,Dense,False,True,"{""effort"": ""default"", ""harness"": ""OpenCompass"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per https://github.com/InternLM/InternLM README: evaluated using OpenCompass. Values marked * = Thinking Mode (excluded from non-thinking canonical). Most benchmarks 0-shot."", ""prompt_style"": ""0-shot (default per benchmark)"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none""}",False
|
| 179 |
+
falcon3-10b,Falcon3-10B-Instruct,TII,2025-01-01,10000.0,10000.0,Dense,False,True,,False
|
| 180 |
+
glm-4.6,GLM-4.6,Zhipu AI,2025-09-01,,,,True,False,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per GLM-4.7 blog."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 181 |
+
glm-4.7,GLM-4.7,Zhipu AI,2025-12-01,,,,True,False,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per GLM-5 blog."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 182 |
+
glm-5,GLM-5,Zhipu AI,2026-03-15,,,,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per GLM-5 blog."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 183 |
+
glm-5.1,GLM-5.1,Zhipu AI,2026-04-07,,,,True,True,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per GLM-5.1 blog."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 184 |
+
grok-1.5,Grok-1.5,xAI,,,,,False,False,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 185 |
+
grok-2,Grok-2,xAI,,,,,False,False,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 186 |
+
grok-2-mini,Grok-2 mini,xAI,,,,,False,False,"{""context"": ""unknown"", ""effort"": ""n/a"", ""harness"": ""unknown"", ""judge"": ""unknown"", ""mode"": ""unknown"", ""notes"": ""Model added from third-party aggregator (llm-stats.com); canonical setting not established."", ""prompt_style"": ""unknown"", ""sampling"": ""unknown"", ""temperature"": ""unknown"", ""tools"": ""unknown""}",False
|
| 187 |
+
grok-3-beta,Grok 3 Beta,xAI,2025-02-19,,,,False,False,"{""context"": ""default"", ""effort"": ""n/a"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""non-thinking"", ""notes"": ""Per xAI Grok 3 blog: canonical = non-reasoning mode (the cross-model table without 'Think' label). Reasoning ON values not used."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 188 |
+
grok-4,Grok 4,xAI,2025-07-09,,,,True,False,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per xAI Grok 4 blog: standard chart values (no Heavy, no with-Python tool unless noted)."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 189 |
+
grok-4.1,Grok 4.1,xAI,2025-11-17,,,,True,False,"{""context"": ""default"", ""effort"": ""default"", ""harness"": ""official"", ""judge"": ""rule-based"", ""mode"": ""thinking"", ""notes"": ""Per xAI Grok 4.1 blog: standard chart values. Hallucination/FActScore use with-web-search but those are not stored in BP."", ""prompt_style"": ""default"", ""sampling"": ""pass@1"", ""temperature"": ""default"", ""tools"": ""none (per-bench override)""}",True
|
| 190 |
+
grok-4.20,Grok 4.20,xAI,2026-03-09,,,,True,False,,False
|
data/models.parquet
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0cde346c85c4465891d465647c1739bf4f3fa0dd1a2a3e69c6eacc2dfd2467e6
|
| 3 |
+
size 21161
|
data/score_matrix_paper_wide.csv
ADDED
|
@@ -0,0 +1,85 @@
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|
|
| 1 |
+
model_id,aa_intelligence_index,aa_lcr,aider_polyglot_diff,aider_polyglot_whole,aime_2024,aime_2025,aime_2026,alpacaeval_2,arc_agi_1,arc_agi_2,arena_hard,artifactsbench,babyvision,beyond_aime,bfcl,bfcl_v3,bigbench_hard,bigcodebench,bird_sql,browsecomp,browsecomp_long_context_128k,browsecomp_zh,brumo_2025,bullshit_pushback,c_eval,charxiv_descriptive,charxiv_reasoning,chatbot_arena_elo,chinese_simpleqa,cluewsc,cmimc_2025,cnmo_2024,codeforces_rating,collie,complexfuncbench,critpt,cybergym,deepsearchqa_acc,drop,erqa,facts_grounding,factscore,finance_agent,finsearchcomp_global,frames,frontiermath,frontiermath_tier4,gaia,gdpval_aa_elo,global_piqa,gpqa_diamond,gpqa_main,graphwalks_bfs_0k_128k,graphwalks_parents_0k_128k,gsm8k,healthbench,hle,hle_text,hle_tools,hmmt_feb_2025,hmmt_feb_2026,hmmt_nov_2025,humaneval,ifbench,ifeval,imo_answerbench,infobench,internal_api_if_hard,livebench,livecodebench,longbench_v2,longfact_concepts,longfact_objects,math,math_500,matharena_apex_2025,mathvision,mathvista,mbpp_plus,mcpatlas,mcpmark,mgsm,mmlu_pro,mmmlu,mmmu,mmmu_pro,mrcr_v1,mrcr_v2,mrcr_v2_2needle_128k,mrcr_v2_8needle,mt_aime_2024,multi_if,multi_swe_bench,multichallenge,multichallenge_o3mini_grader,multipl_e_avg,nl2repo_bench,ojbench,omnidocbench,omnidocbench_1.5,osworld,popqa,repoqa,safety,scicode,screenspot_pro,simpleqa,simpleqa_verified,smt_2025,supergpqa,swe_bench_multilingual,swe_bench_pro,swe_bench_verified,swelancer,swelancer_freelance_dollars,tau2_bench_airline,tau2_bench_retail,tau2_bench_telecom,tau3_bench,tau_bench_airline,tau_bench_retail,terminal_bench,terminal_bench_1,terminal_bench_hard,toolathlon,truthfulqa,usamo_2025,vending_bench_2,vibe_eval,video_mme,video_mmmu,widesearch,xbench_deepsearch
|
| 2 |
+
claude-3.5-sonnet,,,45.3,,16.0,,,,,,,,,,,,93.1,,,,,,,,76.7,,,,51.3,85.4,,13.1,717.0,,,,,,88.3,,,,,,72.5,,,,,,65.0,65.0,,,96.4,,,,,,,,81.7,,86.5,,93.9,,,36.3,41.0,,,78.3,78.3,,,67.7,,,,91.6,78.0,82.1,70.4,,,,,,,,,,,,,,,,,,,,,,28.4,,,,,,50.8,,,,,,,48.8,71.5,,,,,,,,,,,,
|
| 3 |
+
claude-3.7-sonnet,,,,,23.3,54.8,,,28.6,0.7,63.9,,,,,,,,,,,,65.83,54.72,,,,1372.0,,,,,,,,,,,,,,,,,,3.1,,,,,78.2,84.8,,,,,,,,31.7,,,,,90.8,,,,,52.6,,,,,82.2,,,,,,,,,85.9,75.0,,,,,,80.0,,,,,,,,,,,,,,,,,,56.6,,,,62.3,,,,,,,58.4,81.2,35.2,35.2,,,,3.65,,,,,,
|
| 4 |
+
claude-haiku-4.5,,,,,,96.3,,,47.7,4.0,,,,,,,,,,,,,,87.27,,,,,,,,,,,,,,,,,,,,,,,,,,,73.0,73.0,,,,,,,,,,,,,,,,,61.0,,,,,,,,,,,,,,,83.0,73.2,,,,,,,,,,,,,,,,50.7,,,,,,,,,,,39.45,73.3,,,63.6,83.2,83.0,,,,41.0,,,,,,,,,,,
|
| 5 |
+
claude-opus-4,,,,,,75.5,,,35.7,8.6,59.7,,,,,,,,,,,,,32.73,,,,,,,,,,,,0.3,,,,,,,,,,4.5,,,,,79.6,79.6,,,,,7.1,,,15.9,,,,,89.7,,,,,47.4,,,,,94.4,,,,,,,,86.6,88.8,76.5,,,,,,,,,,,,,,,,,,,,,,22.8,,,,,,72.5,,,,,,,59.6,81.4,43.2,39.0,,,,,,,,,,
|
| 6 |
+
claude-opus-4.1,,,,,,78.0,,,,,,,,,,,,,,,,,,40.0,,,,,,,,,,,,,,,,,,,,,,5.9,,,,,80.9,80.9,,,,,,,,,,,,,,,,,61.4,,,,,,,,,,,,,,,89.5,77.1,,,,,,,,,,,,,,,,44.4,,,,,,,,,,,22.7,74.5,,,,,,,56.0,82.4,43.3,43.8,,,,,,,,,,
|
| 7 |
+
claude-opus-4.5,,71.3,92.4,,,92.8,93.3,,84.0,37.6,,68.5,16.2,69.0,,,,,,67.8,,62.4,,90.91,,92.7,67.2,1469.0,,,,,1701.0,79.8,,,50.6,76.1,,48.3,,91.1,58.8,,84.7,20.7,,,1416.0,91.6,87.0,87.0,92.0,96.2,,36.3,30.8,43.2,43.2,92.9,,91.7,,58.0,90.9,78.5,,,76.0,84.8,64.4,98.8,99.0,,,1.6,77.1,80.6,,62.3,42.3,,89.3,90.8,80.7,70.6,,,,56.2,,,52.8,54.2,,,43.2,54.6,,0.123,66.3,,,,49.5,45.7,,48.6,,70.6,77.5,55.4,80.9,56.1,,,88.9,98.2,,,88.9,59.3,,,43.5,,,4967.06,70.3,77.6,84.4,76.2,
|
| 8 |
+
claude-opus-4.6,53.0,71.0,,,,95.6,95.6,,93.0,68.8,,,14.8,,,,,,,83.7,,,,92.73,,,61.5,1496.0,76.4,,,,,,,12.6,73.8,80.6,,,,,60.1,,,40.7,,,1606.0,,91.3,91.3,,,,,40.0,53.1,,,96.2,96.3,,53.0,,75.3,,,,88.8,,,,,,34.5,71.2,,,75.8,56.7,,89.1,91.1,,73.9,92.9,84.0,,93.0,,,,,,,49.8,60.3,,,72.7,,,,52.0,,,46.2,,,77.8,53.4,80.8,,,,91.9,99.3,72.4,,,65.4,,,47.2,,42.3,8017.59,,,,,
|
| 9 |
+
claude-opus-4.7,,,,,,,,,92.0,75.8,,,,,,,,,,79.3,,,,80.0,,,82.1,,,,,,,,,,73.1,,,,,,64.4,,,43.8,22.9,,,,94.2,94.2,,,,,46.9,54.7,,,,,,,,,,,,,,,,,,,,,,77.3,,,,91.5,,,,,,,,,,,,,,,,,78.0,,,,,,,,,,,64.3,87.6,,,,,,,,,69.4,,,,,,,,,,,
|
| 10 |
+
claude-sonnet-4,57.0,65.0,,,43.4,70.5,,,40.0,5.9,51.6,57.3,,,,,,,,12.2,,29.1,,25.45,,,,,,,,,,,,,,,,,,,,42.0,,,,68.3,,,75.4,75.4,,,,,5.8,,,15.9,,,,55.0,87.6,,,,,66.0,,,,,94.0,,,,,,,,84.0,86.5,74.4,,,,,,,,35.7,,,,,,,,,,,,40.0,,15.9,,,,56.9,42.7,72.7,,,63.0,83.8,49.6,,60.0,80.5,35.5,36.4,30.0,,,,,,,,,64.6
|
| 11 |
+
claude-sonnet-4.5,63.0,66.0,82.2,,,87.0,82.5,,70.9,13.6,,61.5,,57.0,,,,,,43.9,,42.4,90.83,65.45,,,68.5,,,,66.88,,1480.0,77.3,,,,36.3,,,,90.6,54.5,60.8,78.7,,,71.2,1276.0,90.1,83.4,83.4,80.5,99.0,,44.2,17.7,32.0,,79.2,,81.7,,57.0,,65.8,,,67.9,64.0,62.0,98.5,98.8,,,1.56,,,,43.8,32.1,,88.2,89.1,77.8,63.4,,47.1,,47.1,,,44.3,57.3,,,39.9,30.4,0.145,0.145,61.4,,,,44.7,36.2,,29.3,83.96,65.5,68.0,48.4,77.2,45.7,,70.0,86.2,98.0,,70.0,86.2,50.0,51.0,33.3,38.9,,,3839.0,,,77.8,65.1,66.0
|
| 12 |
+
claude-sonnet-4.6,,,,,,95.6,,,86.5,58.3,,,,,,,,,,74.7,,,,94.55,,,,,,,,,,,,,65.2,,,,,,63.3,,,32.4,,,1633.0,,89.9,89.9,,,,,33.2,49.0,,,,,,,,,,,,,,,,,,,,,,61.3,,,,89.3,,74.5,,84.9,,,,,,,,,,,,,72.5,,,,47.0,,,,,,,,79.6,,,,91.7,97.9,,,,59.1,,,,,,7204.14,,,,,
|
| 13 |
+
command-a,,,,,,,,,,,,,,,63.8,,,45.4,59.5,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,50.8,,,,,,,,,,,82.9,,89.7,,94.9,,,26.9,,,,80.0,82.0,,,,86.2,,,,68.9,,,,,,,,,,,,,73.1,,,,,,,92.6,,,,,,,,,,26.8,,,,,,,,,,,,,,,,,,,,
|
| 14 |
+
deepseek-r1,,,53.3,71.6,79.8,70.0,,87.6,18.3,1.3,92.3,,,42.4,,,,,,8.9,,35.7,80.83,12.73,91.8,,,1398.0,63.7,92.8,,78.8,2029.0,34.2,,1.1,,,92.2,,,,,,82.5,,,,,,71.5,81.0,,,,,8.5,17.7,,41.7,,,,38.0,83.3,,,,,65.9,,,,,97.3,,,,,,,,84.0,,,,,,,,91.4,,,,,,,,,,,,,,,,30.1,,,60.5,30.5,,49.2,,,,,,,,,,5.7,,,,4.76,,,,,,
|
| 15 |
+
deepseek-r1-0528,,,71.6,,91.4,87.5,,,21.2,1.1,,,,,,,,,,,,,92.5,,,,,1422.0,,,69.38,86.9,1930.0,,,,,,,,,,,,83.0,,,,,,81.0,,,,,,17.7,,,79.4,,,,,79.1,,,,,73.3,,,,,,1.04,,,,,,,85.0,,,,,,,,,,,,,,,,,,,,,,,,27.8,,83.02,,,,57.6,,,,,,,53.5,63.9,,,,,,30.06,,,,,,
|
| 16 |
+
deepseek-r1-distill-llama-70b,,,,,70.0,56.3,,,,,60.6,,,,,49.3,,,,,,,,,,,,,,,,,1633.0,,,,,,,,,,,,,,,,,,65.2,65.2,,,,,,,,33.3,,,,,79.3,,,,54.5,54.5,,,,,94.5,,,,,,,,,69.6,,,,,,,29.3,57.6,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
|
| 17 |
+
deepseek-v2-0506,,,,,4.6,,,,,,,,,,,,,,,,,,,,78.6,,,,48.5,89.9,,2.8,,,,,,,83.0,,,,,,66.9,,,,,,35.3,,,,,,,,,,,,69.3,,57.7,,,,,18.8,31.6,,,,56.3,,,,,,,,58.5,,,,,,,,,,,,,,,,,,,,,,,,9.0,,,,,,,,,,,,,,,,,,,,,,,,,,
|
| 18 |
+
deepseek-v2.5-0905,,,18.2,,16.7,,,,,,76.2,,,,,,,,,,,,,,79.5,,,,54.1,90.4,,10.8,,,,,,,87.8,,,,,,65.4,,,,,,41.3,,,,95.1,,,,,,,,77.4,,80.6,,,,,29.2,35.4,,,74.7,74.7,,,,,,,,66.2,,,,,,,,,,,,,,,,,,,,,,,,10.2,,,,,,22.6,,,,,,,,,,,,,,,,,,,,
|
| 19 |
+
deepseek-v3,,,49.6,49.6,39.2,,,,,,85.5,,,,72.1,,,50.0,50.5,,,,,,86.5,,,1358.0,64.8,90.9,,43.2,1134.0,,,,,,91.6,,,,,,73.3,,,,,,59.1,53.6,,,89.3,,,,,,,,82.6,,86.1,,94.3,,,40.5,48.7,,,68.5,90.2,,,,86.5,,,,75.9,,,,,,,,59.4,,,,,,,,,,,,91.2,,,,24.9,,,,,,42.0,,,,,,,,,,,,,,,,,,,,
|
| 20 |
+
deepseek-v3.2,57.0,64.3,74.5,74.5,,93.1,95.1,,57.0,4.0,,55.8,,,,,,,,51.4,,65.0,96.67,14.55,,,,,,,83.75,,2386.0,,,,17.3,60.9,,,,,,26.2,,22.1,,63.5,,,82.4,82.4,,,,46.9,25.1,40.8,40.8,92.5,79.9,90.2,,54.0,,78.3,,,63.1,83.3,59.8,,,,,2.08,,,,62.2,38.0,,85.0,,,,,,,,,,30.6,,,,,54.7,,,,,,,38.9,,,,87.74,,70.2,,73.1,,,63.8,81.1,96.2,69.2,,,46.4,,35.4,35.2,,,1034.0,,,,32.5,71.0
|
| 21 |
+
deepseek-v4-flash,,,,,,,,,,,,,,,,,,,,73.2,,,,,,,,,78.9,,,,3052.0,,,,,,,,,,,,,,,,1395.0,,88.1,88.1,,,,,34.8,45.1,,,94.8,,,,,88.4,,,,91.6,,,,,,33.0,,,,69.0,,,86.2,,,,78.7,,,,,,,,,,,,,,,,,,,,34.1,34.1,,,73.3,52.6,79.0,,,,,,,,,56.9,,,47.8,,,,,,,,
|
| 22 |
+
deepseek-v4-pro,,,,,,,,,,,,,,,,,,,,83.4,,,,,,,,,84.4,,,,3206.0,,,,,,,,,,,,,,,,1554.0,,90.1,90.1,,,,,37.7,48.2,,,95.2,,,,,89.8,,,,93.5,,,,,,38.3,,,,73.6,,,87.5,,,,83.5,,,,,,,,,,,,,,,,,,,,57.9,57.9,,,76.2,55.4,80.6,,,,,,,,,67.9,,,51.8,,,,,,,,
|
| 23 |
+
doubao-seed-2.0-pro,,,80.0,,,98.3,94.2,,85.4,37.5,,66.6,60.6,86.5,,,,,,77.3,,82.4,,,,93.5,80.5,,,,,,3020.0,93.9,,,,77.4,,68.5,,71.2,,,84.5,,,,,92.3,88.9,,68.9,97.6,,57.7,32.4,54.2,,97.3,,93.3,,,,89.3,,,,87.8,63.8,92.8,92.9,,,20.3,88.8,89.8,,,54.7,,87.0,88.1,85.4,78.2,,,,54.0,,,45.2,68.3,,,27.9,,,0.099,,,,,48.5,,,36.0,,68.7,71.7,46.9,76.5,49.4,,,90.4,94.2,,,,55.8,,,,,,,81.4,89.5,86.9,74.7,
|
| 24 |
+
gemini-1.5-flash,,,,,,,,,,,,,,,,,85.5,,45.6,,,,,,,,,,,,,,,,,,,,,,82.9,,,,,,,,,,51.0,51.0,,,86.2,,,,,,,,74.3,,,,,,,30.7,,,,77.9,,,,65.8,,,,82.6,67.3,,62.3,,71.9,,,,,,,,,,,,,,,,,,,,8.6,,,,,,,,,,,,,,,,,,,,,,48.9,76.1,,,
|
| 25 |
+
gemini-1.5-pro,,,,,,,,,,0.8,,,,,,,89.2,,54.4,,,,,,,,,,,,,,,,,,,,74.9,,80.0,,,,,,,,,,59.1,59.1,,,90.8,,,,,,,,84.1,,,,,,,34.2,,,,86.5,,,,68.1,,,,87.5,75.8,,65.9,,82.6,,,,,,,,,,,,,,,,,,,,24.9,,,,,,,,,,,,,,,,,,,,,,53.9,78.6,,,
|
| 26 |
+
gemini-2.0-flash,,,,,,,,,,1.3,50.0,,,,,,,45.9,58.7,,,,,,,,,,,,,,,,,,,,,,84.6,,,,,,,,,,60.1,74.2,,,,,,,,,,,,,,,,,,34.5,,,,90.9,,,,,,,,,77.6,,71.7,,70.5,,,,73.3,,,,,,,,,,,,,,,,29.9,,,,,,,,,,,,,,,,,,,,,,56.3,,,,
|
| 27 |
+
gemini-2.5-flash,,,61.9,61.9,,72.0,,,33.3,2.5,83.9,,,,,,,,,,,,83.33,14.55,,,63.7,,,,51.88,,1995.0,,,1.1,,,,,85.3,,,,,,,,,90.2,82.8,82.8,,,,,11.0,11.0,,64.2,,,,,84.3,,,,46.9,63.9,,,,,,,,,,3.4,,,81.1,86.6,79.7,66.7,74.0,54.3,,,88.0,,,,,,,,0.154,0.154,,,,,,3.9,26.9,28.1,75.47,,,,60.4,,,,,,,,,16.9,16.8,,3.7,,,549.0,65.4,,79.2,,
|
| 28 |
+
gemini-2.5-pro,60.0,66.0,82.2,82.2,92.0,88.0,,,27.6,4.9,90.8,57.7,,58.8,,,,,,9.9,,32.2,90.0,23.64,,,69.6,1448.0,,,58.13,,2001.0,62.5,,2.0,,,,,87.8,,,42.6,,14.1,,60.2,,91.5,86.4,86.4,,,,,21.6,21.6,,82.5,,80.0,,49.0,91.5,,,,57.5,69.0,,,,,,,,,,8.8,,,86.0,89.5,82.0,68.0,93.0,58.0,,16.4,92.0,,,,,,,,0.145,0.145,,,,,43.0,11.4,54.0,54.5,84.91,65.3,,,59.6,,,,,54.0,,,,32.6,25.3,25.0,10.5,,24.0,574.0,67.2,86.9,83.6,,56.0
|
| 29 |
+
gemini-3-flash,,,,,,95.2,,,84.7,33.6,,,,,,,,,,,,,100.0,,,,80.3,1473.0,,,90.62,,,,,,,,,,61.9,,,,,35.6,,,,92.8,90.4,90.4,,,,,33.7,43.5,,,,93.33,,,,,,,73.0,90.8,,,,,,15.62,,,,57.4,,,,91.8,,81.2,,67.2,,22.1,,,,,,,,,0.121,0.121,,,,,,69.1,,68.7,92.92,,,34.63,78.0,,,,,,,,,47.6,,,49.4,,,3635.0,,,86.9,,
|
| 30 |
+
gemini-3-pro,,65.3,94.2,,,95.0,90.6,,85.0,31.1,,58.4,49.7,83.0,,,,,,59.2,,66.8,98.33,,,94.4,81.4,,,,90.0,,2708.0,95.0,,9.1,39.9,63.2,,70.5,70.5,92.6,,,81.9,,,,1195.0,93.4,91.9,91.9,79.9,99.7,,37.9,37.5,46.9,45.8,97.5,,93.3,,70.4,93.5,83.3,,,73.5,90.7,68.2,98.5,98.1,,,24.5,86.1,89.8,,54.1,53.9,,90.1,91.8,87.2,81.0,,77.0,,79.7,,,50.2,64.2,,,34.2,68.5,0.115,0.115,,,,,56.0,72.7,,72.1,93.4,74.0,65.0,43.3,76.2,44.3,,,85.3,98.0,,,,56.9,,39.0,36.4,,,5478.0,77.7,88.4,87.6,57.0,
|
| 31 |
+
gemini-3.1-pro,57.0,,,,,,98.2,,98.0,77.1,,,51.6,,,,,,,85.9,,,,,,,80.2,1493.0,85.9,,,,3052.0,,,17.7,38.8,60.2,,,,,59.7,,,36.9,16.7,,1314.0,,94.3,94.3,,,,,44.4,51.4,,,94.7,94.8,,,,81.0,,,,91.7,,,,,,60.9,89.8,,,69.2,55.9,,91.0,92.6,,80.5,76.3,84.9,,26.3,,,,,,,33.4,70.7,,,,,,,59.0,,,75.6,,,76.9,54.2,80.6,,,,90.8,99.3,67.1,,,68.5,,,48.8,,,911.21,,,,,
|
| 32 |
+
gemma-2-27b,,,,,,,,49.0,,,,,,,,,72.7,,46.7,,,,,,,,,,,,,,,,,,,,67.5,,62.4,,,,,,,,,,34.3,,,,80.7,,,,,,,,51.8,,63.2,,,,,20.4,,,,55.6,,,,,,,,,56.9,,,,,,,,,,,,,,,,,,,33.9,,75.9,,,9.2,,,,,,,,,,,,,,,,,,,64.6,,,,,,,
|
| 33 |
+
gemma-2-9b,,,,,,,,43.7,,,,,,,,,64.9,,33.8,,,,,,,,,,,,,,,,,,,,58.8,,62.0,,,,,,,,,,28.8,31.3,,,79.7,,,,,,,,40.2,,69.9,,87.2,,,10.8,,,,49.4,,,,,,,,,46.8,,,,,,,,,,,,,,,,,,,28.3,,75.5,,,5.3,,,,,,,,,,,,,,,,,,,61.4,,,,,,,
|
| 34 |
+
gemma-3-1b-it,,,,,,1.0,,20.4,,,,,,,,16.64,39.1,,6.4,,,,,,,,,,,,,,,,,,,,25.1,,36.4,,,,,,,,,,24.24,19.2,,,42.15,,,,,,,,41.5,20.47,63.25,,,,,1.9,,,,48.0,45.2,,,,,,,,14.04,,,,,,,,,44.31,,,,,,,,,,9.6,,70.2,,,2.2,,,,,,,,,,,,,,,,,,,43.8,,,,,,,
|
| 35 |
+
gemma-3-27b,,,,,,,,63.4,,,69.9,,,,,,83.7,,54.4,,,,,,,,,1338.0,,,,,,,,,,,69.2,,74.9,,,,,,,,,,42.4,42.4,,,,,,,,,,,,,,,,,,29.7,,,,89.0,,,,,,,,,67.5,,64.9,,,,,,,,,,,,,,,,,30.9,,69.1,,,10.0,,,,,,,,,,,,,,,,,,,63.9,,,,,,,
|
| 36 |
+
glm-4.6,56.0,54.0,,,,93.9,,,,,,59.8,,,,,,,,45.1,,49.5,,,,,,,,,,,,,,,,,,,,,,29.2,,,,71.9,,,81.0,81.0,,,,,17.2,17.2,30.4,89.2,,87.7,,43.0,,73.5,,,,70.0,,,,,,,,,,,,,83.2,,,,,,,,,,30.0,,,,,,,,,,,,38.0,,,,,,53.8,,68.0,,,,,71.0,,,,24.5,,23.6,,,,,,,,,70.0
|
| 37 |
+
glm-4.7,,,,,,95.7,,,,,,,,,,,,,,52.0,,66.6,,,,,,1443.0,,,,,,,,,23.5,,,,,,,,,2.4,,,,,85.7,85.7,,,,,24.8,42.8,42.8,97.1,,93.5,,,,82.0,,,57.3,84.9,,,,,,,,,,52.0,,,84.3,,,,,,,,,,,,,,,,,,,,,,,,,,,,66.7,,73.8,,,,,,,,,41.0,,33.3,23.8,,,2376.82,,,,,
|
| 38 |
+
glm-5,,,,,,,95.4,,44.7,4.9,,,,,,,,,,62.0,,72.7,,,,,,,,,,,,,,,48.3,,,,,,,,,,,,,,86.0,,,,,,30.5,,50.4,,82.8,96.9,,,,82.5,,,,,,,,,,,,,,69.2,,,,,,,,,,,,,,,,,35.9,,,,,,,,,,,,,,73.3,55.1,77.8,,,,,,69.2,,,56.2,,,38.0,,,4432.12,,,,,
|
| 39 |
+
glm-5.1,,,,,,,95.3,,,,,,,,,,,,,79.3,,,,,,,,,75.0,,,,,,,,68.7,,,,,,,,,,,,1535.0,,86.2,86.2,,,,,34.7,52.3,52.3,94.0,89.4,94.0,,,,83.8,,,,,,,,,,11.5,,,,71.8,,,86.0,,,,,,,,,,,,,,42.7,,,,,,,,,,,38.1,,,73.3,58.4,,,,,,,70.6,,,63.5,,,40.7,,,5634.41,,,,,
|
| 40 |
+
gpt-3.5-turbo,,,,,,,,38.7,,,,,,,,,66.6,,,,,,,,,,,,,,,,,,,,,,70.2,,,,,,,,,,,,30.8,30.8,,,74.3,,,,,,,,68.0,,66.9,,,,,,,,,41.2,,,,0.0,,,,56.3,,,0.0,,,,,,,,,,,,,,,,,45.0,,69.1,,,,,,,,,,,,,,,,,,,,,,62.9,,,,,,,
|
| 41 |
+
gpt-4.1,,,52.9,51.6,48.1,46.4,,,5.5,0.4,61.5,,,,,,,,,,85.9,,,14.55,,87.9,56.7,,,,,,,65.8,65.5,,,,,44.3,,6.7,,,,,,,,,66.3,66.3,61.7,58.0,,,5.4,5.4,,28.9,,,,,87.4,,,49.1,,44.7,,0.7,1.1,,92.4,,,72.2,,,,,81.8,87.3,74.8,60.3,,,57.2,,48.1,70.8,,38.3,46.2,,,,,,,,,,,,42.3,,,,,,,,34000.0,56.0,74.0,34.0,,49.4,68.0,,30.3,,,,,,,78.7,60.9,,
|
| 42 |
+
gpt-4.1-mini,,,31.6,34.7,49.6,40.2,,,3.5,0.0,28.2,,,,,,,48.9,,,89.0,,,,,88.4,56.8,,,,,,,54.6,49.3,,,,,42.3,,10.9,,,,,,,,,65.0,65.0,61.7,60.5,,,3.7,3.7,,35.0,,,,,84.1,,,45.1,,,,1.1,1.8,,,,,73.1,,,,,,78.5,72.7,58.9,,,47.2,,49.6,67.0,,35.8,42.2,,,,,,,,,,,,,,,,,,,,31000.0,51.0,66.0,44.0,,36.0,55.8,,,,,,,,,68.4,55.1,,
|
| 43 |
+
gpt-4.1-nano,,,6.2,9.8,29.4,,,,0.0,0.0,10.7,,,,,,,,,,89.4,,,,,73.9,40.5,,,,,,,42.5,5.7,,,,,26.5,,,,,,,,,,,50.3,50.3,25.0,9.4,,,,,,,,,,,74.5,,,31.6,,,,,,,,,,56.2,,,,,,66.9,55.4,33.0,,,36.6,,29.4,57.2,,15.0,31.1,,,,,,,,,,,,,,,,,,,,9000.0,14.0,21.5,12.1,,14.0,22.6,,,,,,,,,55.2,30.2,,
|
| 44 |
+
gpt-4.5,,,44.9,,36.7,,,,10.3,0.8,51.4,,,,,,,,,,,,,,,90.0,55.4,,,,,,,72.3,63.0,,,,,,,,,,,,,,,,69.5,69.5,72.3,72.6,97.0,,,,,,,,,,88.2,,,54.0,,,,,,,,,,72.3,,,,,,85.1,75.2,,,,38.5,,36.7,70.8,,43.8,50.1,,,,,,,,,,,,,,,,,,38.0,37.3,,,,,,50.0,68.4,,,,,,,,,,,,
|
| 45 |
+
gpt-4o,,,18.2,30.7,13.1,,,,4.5,0.0,95.4,,,,,,,,,,,,,,,85.3,52.7,,,,,,,50.2,66.5,,,,83.4,35.2,,,,,,,,,,,46.0,70.1,41.7,35.4,,,5.3,5.3,,,,,91.5,,81.0,,,29.2,,31.4,,,,76.6,76.4,,,61.4,,,,90.5,75.8,81.4,68.7,59.9,,,31.9,,13.1,60.9,,27.8,39.9,79.8,,,,,,,,,,,38.2,,,,,,30.7,32.6,,,,,,42.8,60.3,,,,,,,,,,61.2,,
|
| 46 |
+
gpt-4o-0513,,,16.0,,9.3,,,,,,75.6,,,,58.6,,,,53.1,,,,,,76.0,,,,59.3,87.9,,10.8,759.0,,,,,,83.7,,,,,,80.5,,,,,,49.9,59.1,,,,,,,,,,,80.5,,84.3,,94.0,,57.6,33.4,48.1,,,70.2,74.6,,,,89.9,,,90.4,72.6,,,,,,,,,,,,,,,,,,,,92.2,,,,38.2,,,,,,38.8,,,,,,,,,,,,,,,,,,,,
|
| 47 |
+
gpt-4o-mini,,,2.7,3.6,8.6,,,49.7,,0.0,76.2,,,,,,65.9,,,,,,,,,76.6,36.8,,,,,,,52.7,38.6,,,,79.3,,,,,,,,,,,,40.2,40.2,29.0,12.6,83.0,,,,,,,,86.2,,78.4,,,27.2,48.1,,,,,67.9,73.0,,,56.5,,,,86.5,63.4,70.5,56.3,,,,24.5,,,57.9,,20.3,25.6,,,,,,,39.0,,84.9,,,9.9,,,,,,,,,,,,,22.0,44.0,,,,,64.8,,,,,,,
|
| 48 |
+
gpt-5,69.0,76.0,88.0,88.0,,94.6,,,65.7,9.9,,73.0,,,,,,,,54.9,90.0,63.0,91.67,21.82,,,81.1,,,,90.0,,2537.0,99.0,,5.7,,,,65.7,,2.8,,63.9,,26.3,26.3,76.4,,,85.7,88.1,78.3,73.3,,67.2,24.8,24.8,,88.3,,89.2,,73.0,,76.0,,64.0,71.3,84.5,,1.0,1.2,84.7,99.4,1.04,,,,,50.9,,87.5,,84.2,78.4,,,,,,,,69.6,69.6,,,56.2,,,,,,,42.9,,55.0,,91.98,,55.3,41.78,74.9,,112000.0,62.6,81.1,96.7,,,,35.2,41.3,30.5,29.0,,,,,86.7,84.6,,77.8
|
| 49 |
+
gpt-5-mini,,,71.6,,,91.1,,,,,,,,,,,,,,,89.4,,,,,,75.5,,,,,,,98.5,,,,,,62.9,,3.5,,,,22.1,22.1,,,,82.3,82.3,73.4,64.3,,,16.7,16.7,,87.8,,,,,,,,65.8,,,,0.7,1.3,,,,,,,,,,,,81.6,74.1,,,84.3,,,,,,62.3,,,,,,,,,,,,,,,,,,71.0,,75000.0,60.0,78.3,74.1,,,,,,,,,,,,78.5,82.5,,
|
| 50 |
+
gpt-5-nano,,,48.4,,,85.2,,,,,,,,,,,,,,,80.4,,,,,,62.7,,,,,,,96.9,,,,,,50.1,,7.3,,,,9.6,9.6,,,,71.2,71.2,64.0,43.8,,,8.7,8.7,,75.6,,,,,,,,56.1,,,,1.0,2.8,,,,,,,,,,,,75.6,62.6,,,43.2,,,,,,54.9,,,,,,,,,,,,,,,,,,54.7,,49000.0,41.0,62.3,35.5,,,,,,,,,,,,65.7,66.8,,
|
| 51 |
+
gpt-5.1,,75.0,,,,94.0,,,72.8,17.6,,,,,,,,,,50.8,90.0,,93.33,25.45,,,67.0,1439.0,,,91.88,,,,,,,,,,,,,,,31.0,12.5,,,,88.1,88.1,76.8,71.5,,,25.7,,,96.3,,91.67,,,,,,,,87.0,,,,,,1.04,,,,44.5,,,87.0,89.5,85.4,,,,,,,,,,,,,,,,,,,,,,,,91.04,,,50.8,76.3,69.7,,67.0,77.9,95.6,,,,47.6,,43.0,36.1,,,,,,82.9,,
|
| 52 |
+
gpt-5.2,,72.3,91.1,,,100.0,96.7,,86.2,52.9,,71.1,37.4,86.0,,,,,,65.8,92.0,76.1,98.33,27.27,,93.8,82.1,1438.0,,,91.25,,3148.0,96.9,,11.6,,71.3,,59.8,,91.9,59.5,,84.0,40.3,14.6,,1462.0,91.2,92.4,93.2,94.0,89.0,,63.3,34.5,45.5,45.5,99.4,,97.1,,75.4,94.8,86.3,,,,87.7,54.5,99.7,99.2,,,13.54,83.0,83.1,,60.6,57.5,,86.7,89.6,86.7,79.5,,83.8,,89.4,,,47.7,57.9,,,49.3,,0.14,0.143,47.3,,,,52.0,86.3,,38.0,91.98,67.9,72.0,55.6,80.0,74.6,,,82.0,98.7,,,,62.2,,,46.3,,,3952.0,73.1,86.0,85.9,76.8,
|
| 53 |
+
gpt-5.4,,,,,,,98.7,,93.7,73.3,,,49.7,,,,,,,82.7,,,,25.45,,,82.8,,76.8,,,,3168.0,,,,79.0,63.7,,,,,56.0,,,47.6,27.1,,1674.0,,92.8,92.8,93.0,89.8,,,39.8,39.8,,,97.7,95.8,,,,91.4,,,,,,,,,,54.1,92.0,,,70.6,62.5,,87.5,,,81.2,,,,,,,,,,,41.3,,0.109,89.1,75.0,,,,56.6,,,45.3,,,,57.7,,,,,,92.8,72.9,,,75.1,,,54.6,,,6144.18,,,,,
|
| 54 |
+
gpt-5.5,,,,,,,,,95.0,85.0,,,,,,,,,,84.4,,,,,,,,,,,,,,,,,81.8,,,,,,60.0,,,51.7,35.4,,,,93.6,93.6,,,,,41.4,57.2,,,,,,,,,,,,,,,,,,,,,,75.3,,,,,,81.2,,,,74.0,,,,,,,,,,,78.7,,,,,,,,,,,58.6,,,,,,98.0,,,,82.7,,,55.6,,,,,,,,
|
| 55 |
+
gpt-oss-120b,,,44.4,,96.6,97.9,,,,,,,,,,,,,,,,,,3.64,,,,,,,,,2622.0,,,,,,,,,,,,,,,,,,80.9,80.9,,,,57.6,19.0,14.9,,,,,,69.5,,,,,,81.9,,,,,,,,,,,,,,81.3,,,,,,,,,,,,,,,,,,,,,,,,,,,,,62.4,,,,,,,49.2,67.8,18.7,,,,,,,,,,,
|
| 56 |
+
grok-3-beta,,,,,52.2,77.3,,,31.9,0.0,,,,,,,,,,,,,,,,,,1402.0,,,,,,33.6,,,,,,,,,,,,,,,,,80.2,84.6,,,,,18.2,,,,,,87.3,,83.4,,,,,57.0,,,,,99.2,,,,,,,,79.9,,73.2,,,,,,93.3,,,,,,,,,,,,,,,,43.6,,,62.8,,,48.5,,,,,,,,,,17.5,,,,4.76,,,,,,
|
| 57 |
+
grok-4,73.0,68.0,,,,91.7,,,66.7,15.9,,,,,,,,,,,,,95.0,,,,,1465.0,,,83.75,,,,,,,,,,,,,,,13.0,,,,,87.5,88.4,,,,,25.4,50.7,,90.0,,88.33,,,,73.1,,,,79.0,,,,,,2.08,,,,,,,87.0,,,,,,,,,,,,,,,,,,,,,,,,,,85.85,,,46.5,,,,,,,,,,23.1,39.0,,,,37.5,,,,,,
|
| 58 |
+
grok-4.1,,,,,,91.9,,,,,,,,,,,,,,,,,97.5,,,,,,,,84.38,,,,,,,,,,,97.0,,,,,,,,85.6,84.3,,,,,,17.6,,,,,93.33,,,,,,,60.0,,,,,,,5.21,,,,,,,,86.8,,63.0,,54.6,,,,,,,,,,,,,,,,,,,,19.5,84.6,,,,50.6,,,,,,,,,,,,,,,1107.0,,,,,
|
| 59 |
+
kimi-k2,50.0,52.0,60.0,60.0,69.6,49.5,,,,,54.5,54.2,,,,,,,,14.1,,28.8,,,,,,,,,,74.3,,,,,,,,,,,,29.5,,,,60.2,,,75.1,75.8,,,97.3,43.8,4.7,4.7,,38.8,,,,42.0,89.8,45.8,,,76.4,53.7,,,,89.1,97.4,,,,,,,,81.1,,,,,,,,72.0,,33.5,54.1,,85.7,,25.5,,,,,,,30.7,,31.0,,,57.2,47.3,27.67,65.8,,,56.5,70.6,65.8,,,,44.5,,23.0,,,,,,,,,61.0
|
| 60 |
+
kimi-k2.5,,70.0,,,,96.1,94.5,,65.3,11.8,,,36.5,,,,,,,60.6,,62.3,98.33,47.27,,,77.5,,,,91.25,,,,,,41.3,77.1,,,,,,,,,,,,89.3,87.6,87.6,,,,,30.1,50.2,50.2,95.4,81.3,91.1,,70.2,93.9,81.8,,,,85.0,61.0,,,,,8.85,84.2,,,63.8,29.5,,87.1,86.0,84.3,78.5,,,,,,,,62.7,,,32.0,57.4,0.112,0.112,63.3,,,,48.7,,,,90.57,69.2,73.0,50.7,76.8,,,,,,66.0,,,50.8,,,27.8,,,1198.46,,87.4,86.6,72.7,
|
| 61 |
+
kimi-k2.6,,,,,,,96.4,,,,,,39.8,,,,,,,83.2,,,,,,,80.4,,75.9,,,,,,,,,83.0,,,,,,,,,,,1482.0,,90.5,90.5,,,,,36.4,36.4,,,92.7,,,,,86.0,,,,89.6,,,,,,24.0,87.4,,,66.6,55.9,,87.1,,,79.4,,,,,,,,,,,,60.6,,,73.1,,,,52.2,,,36.9,,,76.7,58.6,80.2,,,,,,,,,66.7,,,50.0,,,,,,,80.8,
|
| 62 |
+
llama-3.1-405b-instruct,,,5.8,,23.3,,,,,,,,,,88.5,,,46.2,59.4,,,,,,61.5,,,,50.4,84.7,,6.8,,,,,,,88.7,,,,,,70.0,,,,,,51.1,49.0,,,96.8,,,,,,,,77.2,,86.0,,93.9,,,28.4,36.1,,,73.8,73.8,,,,88.6,,,,73.3,,,,,,,,,,,,,,,,,,,,90.4,,,,17.1,,,,,,24.5,,,,,,,,,,,,,,,,,,,,
|
| 63 |
+
llama-3.1-8b,,,,,,,,25.8,,,,,,,50.9,,71.9,,41.9,,,,,,,,,,,,,,,,,,,,61.7,,,,,,,,,,,,,23.4,,,83.4,,,,,,,,72.6,,80.6,,90.1,,,,,,,42.5,,,,,72.8,,,,46.5,,,,,,,,,,,,,,,,,,,28.4,73.6,70.2,,,,,,,,,,,,,,,,,,,,,,55.1,,,,,,,
|
| 64 |
+
llama-3.2-1b-instruct,,,,,,0.33,,10.1,,,,,,,,21.44,40.2,,,,,,,,,,,,,,,,,,,,,,32.2,,,,,,,,,,,,16.57,,,,39.04,,,,,,,,,15.93,52.37,,,,,,,,,21.6,23.4,,,,,,,,20.8,,,,,,,,,30.16,,,,,,,,,,13.8,,87.2,,,,,,,,,,,,,,,,,,,,,,41.5,,,,,,,
|
| 65 |
+
llama-3.3-70b-instruct,,,,,,,,36.5,,,65.5,,,,51.4,,85.8,46.9,58.0,,,,,,,,,,,,,,,,,,,,90.2,,,,,,,,,,,,49.1,50.5,,,93.6,,,,,,,,78.91,,89.3,,92.8,,57.6,32.9,,,,71.8,66.31,,,,84.4,,,89.1,64.4,,,,,,,,,,,,,,,,,,,48.2,85.6,70.4,,,20.9,,,,,,29.4,,,,,,,,,,,,,66.1,,,,,,,
|
| 66 |
+
llama-4-maverick,,,,,,,,,4.4,0.0,91.8,,,,,,,49.7,,,,,,54.55,,,,1417.0,,,,,,,,0.0,,,,,,,,,,,,,,,69.8,69.8,,,,,,,,,,,85.4,,88.9,,,,,43.4,,,,61.2,90.0,,,73.7,,,,92.3,80.5,,73.4,59.6,,,,,,,,,,76.4,,,,,,,,,,,,,,,,,46.5,,,,,,,,,,15.5,,,,,,,,,,
|
| 67 |
+
minimax-m2,61.0,61.0,,,,78.3,,,,,,66.8,,,,,,,,44.0,,48.5,,,,,,1346.0,,,,,,,,,,,,,,,,65.5,,,,75.7,,,77.7,78.0,,,,,12.5,12.5,31.8,,,,,72.0,,,,,,83.0,,,,,,,,,,,24.4,,82.0,,,,,,,,,,36.2,,,,,,,,,,,,36.0,,,,,,56.5,,69.4,,,,,87.0,,,,30.0,42.0,24.0,16.0,,,,,,,,72.0
|
| 68 |
+
minimax-m2.1,,62.0,,,,83.0,,,,,,,,,,,,,,62.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,83.0,81.0,,,,,22.2,22.0,,,,,,70.0,,,,,,78.0,,,,,,,,,,,,,88.0,,,,,,,,,,49.4,,,,,,,,,,,,41.0,,,,,,72.5,,67.0,,,,,,,,,29.2,,,43.5,,,,,,,,
|
| 69 |
+
ministral-8b,,,,,86.0,78.7,,31.4,,,,,,,51.8,,70.8,,33.2,,,,,,,,,,,,,,,,,,,,56.2,,,,,,,,,,,,66.8,23.4,,,80.0,,,,,,,,34.8,,56.4,,88.3,,,61.6,,,,40.0,,,,,61.1,,,,43.0,,,,,,,,86.0,,,,,,,,,,,20.2,62.0,56.2,,,,,,,,,,,,,,,,,,,,,,55.5,,,,,,,
|
| 70 |
+
muse-spark,,,,,,,,,,42.5,,,,,,,,,,,,,,,,,86.4,,,,,,,,,,,,,64.7,,,,,,,,,1444.0,,89.5,89.5,,,,,42.8,58.4,50.4,,,,,,,,,,,,,,,,,,,,,,,,,,,80.4,,,,,,,,,,,,,,,,,,,,84.1,,,,,,52.4,77.4,,,,,91.5,,,,59.0,,,,,,,,,,,
|
| 71 |
+
o1-high,,,61.7,64.6,74.3,71.4,,,,,,,,,,,,,,,,,,,,88.9,55.1,,,,,,1891.0,95.3,47.6,,,,,,,,,,,5.5,5.5,,,,75.7,78.0,62.0,50.9,97.1,,,,,48.3,,,88.1,,92.2,,,51.3,67.0,63.4,,,,96.4,,,,71.8,,,,89.3,,87.7,77.6,,,,22.1,,74.3,77.9,,44.9,52.9,,,,,,,,,,,,47.0,,,,,,48.9,,,,,,,50.0,70.8,,,,,,,,,,,,
|
| 72 |
+
o3-high,,69.0,79.6,81.3,,88.9,,,60.8,6.5,,,,,,,,,,,88.3,,95.83,,,,78.6,,,,79.38,,,98.4,,1.4,,,,64.0,,23.5,,,,15.8,15.8,,,,83.3,83.3,77.3,72.9,,,20.2,14.7,,81.7,,,88.4,69.3,,,,47.4,,,,5.2,6.8,,98.1,,,86.8,,,,,,,82.9,76.4,,,,,91.6,,,60.4,60.4,,,,,,,,,,,,48.6,,87.74,,,,,,86000.0,64.8,80.2,58.2,,,,,30.2,,,,,,,84.9,83.3,,
|
| 73 |
+
o3-mini-high,,,60.4,66.7,87.3,86.5,,,25.8,3.0,81.9,,,63.6,,,,,,,,,,,,,,1363.0,,,,,2130.0,98.7,17.6,,,,,,,,,,,12.4,,,,,77.2,,51.0,58.3,,,,,,67.5,,,97.6,,93.9,,,50.0,,68.8,,,,,97.9,,,,,,,,82.4,80.7,,,,,18.7,,,79.5,,39.9,50.2,,,,,,,,,,,,13.8,,,52.2,,,61.0,,,,,,,32.4,57.6,,,,,,2.08,,,,,,
|
| 74 |
+
o4-mini-high,,,58.2,68.9,,92.7,,,58.7,6.1,,,,,,,,,,51.5,80.0,,86.67,,,,72.0,,,,84.38,,,96.1,,0.6,,,,56.5,,38.7,,,,15.4,,,,,81.4,81.4,62.3,51.1,,,14.7,14.7,,85.0,,,99.3,,92.4,,,44.7,,,,3.0,8.9,,98.2,,,84.3,,,,,,,81.6,73.4,,,,,93.4,,,43.0,57.5,,,,,,,,,,,,19.3,,88.68,,,,,,66000.0,60.2,70.5,40.5,,49.2,71.8,,18.5,,,,,,,79.5,79.4,,
|
| 75 |
+
qwen-2.5-14b-instruct,,,,,,,,34.6,,,70.2,,,,,,78.4,,,,,,,,,,,,,,,,,,,,,,85.5,,,,,,,,,,,,42.9,45.5,,,94.8,,,,,,,,72.1,,78.7,,,,46.6,,,,,80.0,75.6,,,,63.2,,,79.6,63.2,,,,,,,,,,,,,72.8,,,,,,21.1,,79.3,,,5.4,,,,,,,,,,,,,,,,,,,58.4,,,,,,,
|
| 76 |
+
qwen-2.5-32b,,,,,,,,39.1,,,,,,,,,82.3,,,,,,,,,,,,,,,,,,,,,,48.3,,,,,,,,,,,,49.5,49.5,,,87.5,,,,,,,,88.4,,82.4,,,,,,,,,77.9,,,,,67.2,,,,69.0,,,,,,,,,,,,,75.4,,,,,,26.1,,82.4,,,,,,,,,,,,,,,,,,,,,,70.6,,,,,,,
|
| 77 |
+
qwen-2.5-7b,,,,,,,,29.7,,,52.0,,,,,,70.2,,,,,,,,,,,,,,,,,,,,,,54.4,,,,,,,,,,,,36.4,36.4,,,83.8,,,,,,,,84.8,,74.7,,,,35.9,28.7,,,,69.9,,,,,,,,,56.3,,,,,,,,,,,,,70.4,,,,,,18.1,,75.0,,,,,,,,,,,,,,,,,,,,,,63.1,,,,,,,
|
| 78 |
+
qwen2.5-72b-instruct,,,7.6,,23.3,,,47.7,,,78.4,,,,,,80.4,45.8,50.1,,,,,,86.1,,,,48.4,91.4,,15.9,,,,,,,76.7,,,,,,69.8,,,,,,49.0,,,,89.5,,,,,,,,77.3,,84.1,,,,55.3,31.1,39.4,,,75.9,80.0,,,,88.6,,,87.3,71.6,,,,,,,,,,,,,,,,,,,30.6,83.2,87.0,,,9.1,,,,,,23.8,,,,,,,,,,,,,69.9,,,,,,,
|
| 79 |
+
qwen3-235b,,67.0,57.3,57.3,85.7,81.5,,,11.0,1.3,95.6,,,,70.8,70.8,,,,,,,,,,,,,,,,,2056.0,,,,,,,,,,,,,,,,,,71.1,81.1,,,,,,18.2,,62.5,,,90.0,,83.4,,,,77.1,70.7,,,,71.8,98.0,5.21,,,,,,83.5,,84.3,,,,,,,80.8,71.9,,,,87.9,,32.5,,,,,,,,,13.2,,,64.9,,,69.6,,,,,,,46.0,67.8,,6.6,,,,,,,,,,
|
| 80 |
+
qwen3-30b-a3b,,,,,80.4,70.9,,,,,91.0,,,,69.1,69.1,,,,,,,,,,,,,,,,,1974.0,,,,,,,,,,,,,,,,,,65.8,65.8,,,,,,,,,,,,,86.5,,,,74.3,62.6,,,,,98.0,,,,,,,,,78.4,,,,,,,73.9,72.2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
|
| 81 |
+
qwen3-32b,,,,,81.4,72.9,,,,,93.8,,,,70.3,70.3,,,,,,,,,,,,,,,,,1977.0,,,,,,,,,,,,,,,,,,68.4,,,,,,,,,,,,85.0,37.3,85.0,,,,74.9,65.7,,,,,97.2,,,,,,,,,80.6,,,,,,,75.0,73.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,15.5,,,,,,,,,,
|
| 82 |
+
qwen3-8b,,,,,76.0,67.3,,,,,85.8,,,,,68.1,,,,,,,,,,,,,,,,,1785.0,,,,,,,,,,,,,,,,,,62.0,,,,,,,,,,,,82.0,35.0,85.0,,,,67.1,57.5,,,,,97.4,,,,,,,,,74.4,,,,,,,65.4,71.2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
|
| 83 |
+
qwen3.5-397b,,68.7,,,,,91.3,,,,,,,,,,,,,69.0,,70.3,,65.45,,,80.8,,,,,,,,,,,,,,,,,,,,,,,89.8,88.4,,,,,,28.7,,,94.8,87.88,92.7,,76.5,92.6,80.9,,,,83.6,63.2,,,,,,88.6,,,,46.1,,87.8,88.5,85.0,79.0,,,,,,,,67.6,,,,,,,,,,,,65.6,,,,70.4,69.3,,76.4,,,,,,,,,52.5,,,38.3,,,,,87.5,84.7,,
|
| 84 |
+
qwen3.6-plus,,68.3,,,,,95.1,,,,,,,,,,,,,,,,,,93.3,,,,,,,,,,,,,,,65.7,,,,,,,,,,89.8,90.4,90.4,,,,,28.8,28.8,,96.7,87.8,94.6,,74.2,94.3,83.8,,,,87.1,62.0,,,,,,88.0,,,74.1,48.2,,88.5,89.5,86.0,78.8,,,,,,,,,,,37.9,,,91.2,,,,,,68.2,,,,71.6,73.8,56.6,78.8,,,,,,70.7,,,61.6,,,39.8,,,5114.87,,84.2,84.0,74.3,
|
| 85 |
+
qwq-32b,,,,,79.5,69.5,,82.4,,,89.5,,,,66.4,66.4,89.6,44.6,,,,,,,,,,,,,,,1982.0,,,,,,54.7,,,,,,,,,,,,65.6,65.2,,,95.5,,,,,47.5,,,,,83.9,,,,72.0,62.7,,,,98.1,98.0,,,,,,,,,80.9,,,,,,,68.0,68.3,,,,,,,,,,,,69.9,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
|
data/scores_all.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
data/scores_all.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:da24501af1071c34d4e75fc259fd891d7e3cc0998690ed71c849001c075648d1
|
| 3 |
+
size 172183
|
data/scores_paper.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
data/scores_paper.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:254749e5220c659580343d6d39ea2ab334cdcefe68131671ce912e1ee26d05f9
|
| 3 |
+
size 96434
|
metadata.json
ADDED
|
@@ -0,0 +1,433 @@
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|
| 1 |
+
{
|
| 2 |
+
"repo_id": "yzeng58/benchpress-score-matrix",
|
| 3 |
+
"generated_at_utc": "2026-05-04T20:15:44.377454+00:00",
|
| 4 |
+
"source_git_commit": "67d07b70a5fc5c1bca666f85b235502bb6b6577b",
|
| 5 |
+
"source_git_branch": "yz",
|
| 6 |
+
"source_data_file": "benchpress/data/llm_benchmark_data.json",
|
| 7 |
+
"source_data_dirty": true,
|
| 8 |
+
"n_models_all": 189,
|
| 9 |
+
"n_benchmarks_all": 316,
|
| 10 |
+
"n_scores_all": 4903,
|
| 11 |
+
"paper_matrix": {
|
| 12 |
+
"m_threshold": 15,
|
| 13 |
+
"b_threshold": 8,
|
| 14 |
+
"iterations": 5,
|
| 15 |
+
"n_models": 84,
|
| 16 |
+
"n_benchmarks": 133,
|
| 17 |
+
"n_observations": 2604,
|
| 18 |
+
"fill_rate": 0.23308270676691728,
|
| 19 |
+
"dropped_models": [
|
| 20 |
+
"amazon-nova-premier",
|
| 21 |
+
"amazon-nova-pro",
|
| 22 |
+
"claude-3-haiku",
|
| 23 |
+
"claude-3-opus",
|
| 24 |
+
"claude-3-sonnet",
|
| 25 |
+
"claude-3.5-haiku",
|
| 26 |
+
"claude-mythos",
|
| 27 |
+
"claude-sonnet-3.7",
|
| 28 |
+
"codestral-22b",
|
| 29 |
+
"command-r7b",
|
| 30 |
+
"deepseek-3.1",
|
| 31 |
+
"deepseek-r1-distill-llama-8b",
|
| 32 |
+
"deepseek-r1-distill-qwen-1.5b",
|
| 33 |
+
"deepseek-r1-distill-qwen-14b",
|
| 34 |
+
"deepseek-r1-distill-qwen-32b",
|
| 35 |
+
"deepseek-r1-distill-qwen-7b",
|
| 36 |
+
"deepseek-v3-0324",
|
| 37 |
+
"devstral-2",
|
| 38 |
+
"exaone-4.0-32b",
|
| 39 |
+
"exaone-deep-32b",
|
| 40 |
+
"falcon3-10b",
|
| 41 |
+
"gemini-1.5-flash-8b",
|
| 42 |
+
"gemini-2.0-flash-lite",
|
| 43 |
+
"gemini-2.0-pro",
|
| 44 |
+
"gemini-diffusion",
|
| 45 |
+
"gemma-2-2b",
|
| 46 |
+
"gemma-3-12b",
|
| 47 |
+
"gemma-3-4b",
|
| 48 |
+
"gemma-3n-e2b-instructed",
|
| 49 |
+
"gemma-3n-e2b-instructed-litert-preview",
|
| 50 |
+
"gemma-3n-e4b-instructed",
|
| 51 |
+
"gemma-3n-e4b-instructed-litert-preview",
|
| 52 |
+
"gemma-4-26b-a4b",
|
| 53 |
+
"gemma-4-31b",
|
| 54 |
+
"gemma-4-e2b",
|
| 55 |
+
"gemma-4-e4b",
|
| 56 |
+
"gpt-4-turbo",
|
| 57 |
+
"gpt-5.2-codex",
|
| 58 |
+
"gpt-5.3-codex",
|
| 59 |
+
"gpt-oss-20b",
|
| 60 |
+
"granite-3.3-8b-instruct",
|
| 61 |
+
"granite-4.0-1b",
|
| 62 |
+
"granite-4.0-h-1b",
|
| 63 |
+
"grok-1.5",
|
| 64 |
+
"grok-2",
|
| 65 |
+
"grok-2-mini",
|
| 66 |
+
"grok-4.20",
|
| 67 |
+
"ibm-granite-4.0-tiny-preview",
|
| 68 |
+
"internlm3-8b",
|
| 69 |
+
"lfm2.5-1.2b-instruct",
|
| 70 |
+
"llama-3.1-70b",
|
| 71 |
+
"llama-4-behemoth",
|
| 72 |
+
"llama-4-scout",
|
| 73 |
+
"longcat-flash-chat",
|
| 74 |
+
"minicpm-sala",
|
| 75 |
+
"minimax-m2.5",
|
| 76 |
+
"minimax-m2.7",
|
| 77 |
+
"mistral-large-2",
|
| 78 |
+
"mistral-large-3",
|
| 79 |
+
"mistral-medium-3",
|
| 80 |
+
"mistral-small-24b",
|
| 81 |
+
"mistral-small-3-24b-instruct",
|
| 82 |
+
"mistral-small-3.1",
|
| 83 |
+
"nemotron-ultra-253b",
|
| 84 |
+
"nova-lite",
|
| 85 |
+
"nova-micro",
|
| 86 |
+
"o1-mini",
|
| 87 |
+
"olmo-1b",
|
| 88 |
+
"olmo-2-13b",
|
| 89 |
+
"olmo-2-1b",
|
| 90 |
+
"olmo-2-32b",
|
| 91 |
+
"olmo-2-7b",
|
| 92 |
+
"olmo-7b-0424",
|
| 93 |
+
"openthinker2-32b",
|
| 94 |
+
"phi-3-14b",
|
| 95 |
+
"phi-3.5-mini-instruct",
|
| 96 |
+
"phi-3.5-moe-instruct",
|
| 97 |
+
"phi-4",
|
| 98 |
+
"phi-4-mini",
|
| 99 |
+
"phi-4-reasoning",
|
| 100 |
+
"phi-4-reasoning-plus",
|
| 101 |
+
"pixtral-12b",
|
| 102 |
+
"qwen-2.5-1.5b",
|
| 103 |
+
"qwen2-72b-instruct",
|
| 104 |
+
"qwen2-7b-instruct",
|
| 105 |
+
"qwen2.5-coder-32b-instruct",
|
| 106 |
+
"qwen2.5-coder-7b-instruct",
|
| 107 |
+
"qwen2.5-omni-7b",
|
| 108 |
+
"qwen2.5-vl-32b-instruct",
|
| 109 |
+
"qwen3-0.6b",
|
| 110 |
+
"qwen3-1.7b",
|
| 111 |
+
"qwen3-14b",
|
| 112 |
+
"qwen3-4b",
|
| 113 |
+
"sarvam-30b",
|
| 114 |
+
"seed-thinking-v1.5",
|
| 115 |
+
"smollm2-1.7b",
|
| 116 |
+
"tulu-3-8b"
|
| 117 |
+
],
|
| 118 |
+
"dropped_benchmarks": [
|
| 119 |
+
"aethercode",
|
| 120 |
+
"agentcompany",
|
| 121 |
+
"ai2d",
|
| 122 |
+
"aider_polyglot",
|
| 123 |
+
"ainstein_bench",
|
| 124 |
+
"all_angles",
|
| 125 |
+
"apex_agents",
|
| 126 |
+
"arc_challenge",
|
| 127 |
+
"arcagi1_image",
|
| 128 |
+
"arcagi2_image",
|
| 129 |
+
"babe",
|
| 130 |
+
"bfcl_v3_multiturn",
|
| 131 |
+
"bfcl_v4",
|
| 132 |
+
"bigbench_extra_hard",
|
| 133 |
+
"biobench",
|
| 134 |
+
"bixbench",
|
| 135 |
+
"blink",
|
| 136 |
+
"browsecomp_cm",
|
| 137 |
+
"browsecomp_long_context_256k",
|
| 138 |
+
"cgbench",
|
| 139 |
+
"chartqa",
|
| 140 |
+
"chartqapro",
|
| 141 |
+
"cl_bench",
|
| 142 |
+
"claw_eval_pass3",
|
| 143 |
+
"cmmlu",
|
| 144 |
+
"codesimpleqa",
|
| 145 |
+
"contphy",
|
| 146 |
+
"corpusqa_1m",
|
| 147 |
+
"countbench",
|
| 148 |
+
"covost2",
|
| 149 |
+
"creative_writing_v3",
|
| 150 |
+
"crossvid",
|
| 151 |
+
"ctf_internal",
|
| 152 |
+
"cybench",
|
| 153 |
+
"cybersecurity_ctf",
|
| 154 |
+
"da_2k",
|
| 155 |
+
"deepconsult",
|
| 156 |
+
"deepresearchbench",
|
| 157 |
+
"deepsearchqa_f1",
|
| 158 |
+
"der2_bench",
|
| 159 |
+
"disco_x",
|
| 160 |
+
"docvqa",
|
| 161 |
+
"dude",
|
| 162 |
+
"dynamath",
|
| 163 |
+
"egoschema",
|
| 164 |
+
"egotempo",
|
| 165 |
+
"emma",
|
| 166 |
+
"encyclo_k",
|
| 167 |
+
"eq_bench3",
|
| 168 |
+
"expert_swe",
|
| 169 |
+
"facts_benchmark",
|
| 170 |
+
"finsearchcomp",
|
| 171 |
+
"finsearchcompt23",
|
| 172 |
+
"flenqa_3k",
|
| 173 |
+
"fleurs",
|
| 174 |
+
"frontier_science_research",
|
| 175 |
+
"frontiersci_olympiad",
|
| 176 |
+
"frontiersci_research",
|
| 177 |
+
"fsc_147",
|
| 178 |
+
"gdpval_diamond",
|
| 179 |
+
"gdpval_oai_woe",
|
| 180 |
+
"genebench",
|
| 181 |
+
"graphwalks_bfs_128k_plus",
|
| 182 |
+
"graphwalks_bfs_256k_1m",
|
| 183 |
+
"graphwalks_parents_128k_plus",
|
| 184 |
+
"graphwalks_parents_256k_1m",
|
| 185 |
+
"hallusionbench",
|
| 186 |
+
"healthbench_consensus",
|
| 187 |
+
"hellaswag",
|
| 188 |
+
"hiddenmath",
|
| 189 |
+
"hipho",
|
| 190 |
+
"hle_verified",
|
| 191 |
+
"hle_vl",
|
| 192 |
+
"humaneval_plus",
|
| 193 |
+
"ib_modeling",
|
| 194 |
+
"imo_2025",
|
| 195 |
+
"infovqa",
|
| 196 |
+
"inverse_ifeval",
|
| 197 |
+
"korbench",
|
| 198 |
+
"livesports_3k",
|
| 199 |
+
"loft_128k",
|
| 200 |
+
"logicvista",
|
| 201 |
+
"longdocurl",
|
| 202 |
+
"longform_writing",
|
| 203 |
+
"longvideobench",
|
| 204 |
+
"lpfqa",
|
| 205 |
+
"lvbench",
|
| 206 |
+
"mars_bench",
|
| 207 |
+
"mathcanvas",
|
| 208 |
+
"mathkangaroo",
|
| 209 |
+
"mathvista_mini",
|
| 210 |
+
"medxpertqa_mm",
|
| 211 |
+
"medxpertqa_text",
|
| 212 |
+
"minedojo_verified",
|
| 213 |
+
"minerva",
|
| 214 |
+
"mm_browsecomp",
|
| 215 |
+
"mme_cc",
|
| 216 |
+
"mmlongbench",
|
| 217 |
+
"mmlongbench_doc",
|
| 218 |
+
"mmsibench_circular",
|
| 219 |
+
"mmstar",
|
| 220 |
+
"mmvu",
|
| 221 |
+
"morse_500",
|
| 222 |
+
"motionbench",
|
| 223 |
+
"mrcr_v2_2needle_1m",
|
| 224 |
+
"mrcr_v2_2needle_256k",
|
| 225 |
+
"mt_bench_101",
|
| 226 |
+
"mtvqa",
|
| 227 |
+
"muirbench",
|
| 228 |
+
"multilingual_mmlu",
|
| 229 |
+
"nl2repo_pass1",
|
| 230 |
+
"ntrex",
|
| 231 |
+
"ocrbench",
|
| 232 |
+
"ocrbench_v2",
|
| 233 |
+
"odvbench",
|
| 234 |
+
"officeqa",
|
| 235 |
+
"officeqa_pro",
|
| 236 |
+
"omnimath",
|
| 237 |
+
"ovbench",
|
| 238 |
+
"ovobench",
|
| 239 |
+
"paperbench",
|
| 240 |
+
"phibench",
|
| 241 |
+
"phybench",
|
| 242 |
+
"phyx_openended",
|
| 243 |
+
"point_bench",
|
| 244 |
+
"procbench",
|
| 245 |
+
"realworldqa",
|
| 246 |
+
"refspatialbench",
|
| 247 |
+
"researchrubrics",
|
| 248 |
+
"ruler_128k",
|
| 249 |
+
"ruler_32k",
|
| 250 |
+
"seal_0",
|
| 251 |
+
"sfe",
|
| 252 |
+
"simplevqa",
|
| 253 |
+
"spreadsheetbench_verified",
|
| 254 |
+
"superchem",
|
| 255 |
+
"swe_bench_multimodal",
|
| 256 |
+
"swe_evo",
|
| 257 |
+
"tau_bench_telecom",
|
| 258 |
+
"tempcompass",
|
| 259 |
+
"tob_complex_workflows",
|
| 260 |
+
"tob_compositional_tasks",
|
| 261 |
+
"tob_information_extraction",
|
| 262 |
+
"tob_k12_education",
|
| 263 |
+
"tob_referenceqa",
|
| 264 |
+
"tob_text_classification",
|
| 265 |
+
"tomato",
|
| 266 |
+
"treebench",
|
| 267 |
+
"tvbench",
|
| 268 |
+
"usamo_2026",
|
| 269 |
+
"videoeval_pro",
|
| 270 |
+
"videoholmes",
|
| 271 |
+
"videoreasonbench",
|
| 272 |
+
"videosimpleqa",
|
| 273 |
+
"visfactor",
|
| 274 |
+
"vispeak",
|
| 275 |
+
"visulogic",
|
| 276 |
+
"vitabench",
|
| 277 |
+
"viverbench",
|
| 278 |
+
"vlms_are_biased",
|
| 279 |
+
"vlms_are_blind",
|
| 280 |
+
"vpct",
|
| 281 |
+
"wildbench",
|
| 282 |
+
"world_travel_text",
|
| 283 |
+
"world_travel_vlm",
|
| 284 |
+
"worldvqa",
|
| 285 |
+
"xlrs_macro",
|
| 286 |
+
"xpert_bench",
|
| 287 |
+
"zerobench_main",
|
| 288 |
+
"zerobench_sub",
|
| 289 |
+
"zerobench_tools"
|
| 290 |
+
],
|
| 291 |
+
"excluded_models": [
|
| 292 |
+
"deepseek-v3.2-speciale",
|
| 293 |
+
"gemma-3-1b",
|
| 294 |
+
"granite-3.3-8b-base",
|
| 295 |
+
"kimi-k2-thinking",
|
| 296 |
+
"lfm2.5-1.2b-thinking",
|
| 297 |
+
"llama-3.2-1b",
|
| 298 |
+
"qwen-2.5-14b"
|
| 299 |
+
],
|
| 300 |
+
"excluded_benchmarks": [
|
| 301 |
+
"apex_shortlist",
|
| 302 |
+
"codeforces_avg8",
|
| 303 |
+
"codeforces_pass8",
|
| 304 |
+
"global_mmlu_lite",
|
| 305 |
+
"healthbench_hard",
|
| 306 |
+
"livecodebench_pro",
|
| 307 |
+
"livecodebench_v5",
|
| 308 |
+
"livecodebench_v6",
|
| 309 |
+
"mmlu",
|
| 310 |
+
"mmlu_redux",
|
| 311 |
+
"tau1_bench_avg",
|
| 312 |
+
"tau2_bench_avg"
|
| 313 |
+
],
|
| 314 |
+
"model_canonical_rules": [
|
| 315 |
+
{
|
| 316 |
+
"drop_id": "deepseek-v3.2-speciale",
|
| 317 |
+
"keep_id": "deepseek-v3.2",
|
| 318 |
+
"family": "DeepSeek-V3.2",
|
| 319 |
+
"reason": "same base model; keep the default-effort row because it has broader coverage"
|
| 320 |
+
},
|
| 321 |
+
{
|
| 322 |
+
"drop_id": "kimi-k2-thinking",
|
| 323 |
+
"keep_id": "kimi-k2",
|
| 324 |
+
"family": "Kimi K2",
|
| 325 |
+
"reason": "same base model with a different mode; keep the broader-coverage default row"
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"drop_id": "lfm2.5-1.2b-thinking",
|
| 329 |
+
"keep_id": "lfm2.5-1.2b-instruct",
|
| 330 |
+
"family": "LFM2.5-1.2B",
|
| 331 |
+
"reason": "same base model with a different mode; keep the instruct/non-thinking row"
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"drop_id": "gemma-3-1b",
|
| 335 |
+
"keep_id": "gemma-3-1b-it",
|
| 336 |
+
"family": "Gemma 3 1B",
|
| 337 |
+
"reason": "same base model; many sources do not disambiguate base vs instruct, so use the base-only cells to fill missing instruct cells (small differences within evaluation noise)"
|
| 338 |
+
},
|
| 339 |
+
{
|
| 340 |
+
"drop_id": "granite-3.3-8b-base",
|
| 341 |
+
"keep_id": "granite-3.3-8b-instruct",
|
| 342 |
+
"family": "Granite 3.3 8B",
|
| 343 |
+
"reason": "same base model; many sources do not disambiguate base vs instruct, so use the base-only cells to fill missing instruct cells (small differences within evaluation noise)"
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"drop_id": "llama-3.2-1b",
|
| 347 |
+
"keep_id": "llama-3.2-1b-instruct",
|
| 348 |
+
"family": "Llama 3.2 1B",
|
| 349 |
+
"reason": "same base model; many sources do not disambiguate base vs instruct, so use the base-only cells to fill missing instruct cells (small differences within evaluation noise)"
|
| 350 |
+
},
|
| 351 |
+
{
|
| 352 |
+
"drop_id": "qwen-2.5-14b",
|
| 353 |
+
"keep_id": "qwen-2.5-14b-instruct",
|
| 354 |
+
"family": "Qwen2.5 14B",
|
| 355 |
+
"reason": "same base model; many sources do not disambiguate base vs instruct, so use the base-only cells to fill missing instruct cells (small differences within evaluation noise)"
|
| 356 |
+
}
|
| 357 |
+
],
|
| 358 |
+
"benchmark_canonical_rules": [
|
| 359 |
+
{
|
| 360 |
+
"drop_id": "codeforces_avg8",
|
| 361 |
+
"keep_id": "codeforces_rating",
|
| 362 |
+
"family": "Codeforces",
|
| 363 |
+
"reason": "same task family; keep Codeforces Rating because it has broader coverage"
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"drop_id": "codeforces_pass8",
|
| 367 |
+
"keep_id": "codeforces_rating",
|
| 368 |
+
"family": "Codeforces",
|
| 369 |
+
"reason": "same task family; keep Codeforces Rating because it has broader coverage"
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"drop_id": "livecodebench_pro",
|
| 373 |
+
"keep_id": "livecodebench",
|
| 374 |
+
"family": "LiveCodeBench",
|
| 375 |
+
"reason": "same benchmark family; keep the standard LiveCodeBench because it has broader coverage"
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"drop_id": "tau1_bench_avg",
|
| 379 |
+
"keep_id": "tau_bench_airline/tau_bench_retail",
|
| 380 |
+
"family": "τ-bench",
|
| 381 |
+
"reason": "composite average of existing domain benchmarks; keep per-domain benchmarks"
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"drop_id": "tau2_bench_avg",
|
| 385 |
+
"keep_id": "tau2_bench_airline/tau2_bench_retail/tau2_bench_telecom",
|
| 386 |
+
"family": "τ²-bench",
|
| 387 |
+
"reason": "composite average of existing domain benchmarks; keep per-domain benchmarks"
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"drop_id": "apex_shortlist",
|
| 391 |
+
"keep_id": "matharena_apex_2025",
|
| 392 |
+
"family": "MathArena Apex",
|
| 393 |
+
"reason": "subset/shortlist variant; keep MathArena Apex 2025 because it has broader coverage"
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"drop_id": "healthbench_hard",
|
| 397 |
+
"keep_id": "healthbench",
|
| 398 |
+
"family": "HealthBench",
|
| 399 |
+
"reason": "hard-subset variant; keep HealthBench because it has broader coverage"
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"drop_id": "mmlu",
|
| 403 |
+
"keep_id": "mmlu_pro",
|
| 404 |
+
"family": "MMLU",
|
| 405 |
+
"reason": "same benchmark family; keep MMLU-Pro because it has broader coverage"
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"drop_id": "mmlu_redux",
|
| 409 |
+
"keep_id": "mmlu_pro",
|
| 410 |
+
"family": "MMLU",
|
| 411 |
+
"reason": "same benchmark family; keep MMLU-Pro because it has broader coverage"
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"drop_id": "global_mmlu_lite",
|
| 415 |
+
"keep_id": "mmlu_pro",
|
| 416 |
+
"family": "MMLU",
|
| 417 |
+
"reason": "same benchmark family; keep MMLU-Pro because it has broader coverage"
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"drop_id": "livecodebench_v5",
|
| 421 |
+
"keep_id": "livecodebench",
|
| 422 |
+
"family": "LiveCodeBench",
|
| 423 |
+
"reason": "same benchmark family; use v5 only to fill missing standard LiveCodeBench cells, marking them non-canonical because the version differs"
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"drop_id": "livecodebench_v6",
|
| 427 |
+
"keep_id": "livecodebench",
|
| 428 |
+
"family": "LiveCodeBench",
|
| 429 |
+
"reason": "same benchmark family; use v6 only to fill missing standard LiveCodeBench cells, marking them non-canonical because the version differs"
|
| 430 |
+
}
|
| 431 |
+
]
|
| 432 |
+
}
|
| 433 |
+
}
|