update-bmk-numbers
#18
by
mh3467
- opened
- README.md +24 -25
- step-bar-chart.png +2 -2
README.md
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@@ -52,29 +52,29 @@ Performance of Step 3.5 Flash measured across **Reasoning**, **Coding**, and **A
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### Detailed Benchmarks
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| Benchmark | Step 3.5 Flash | DeepSeek V3.2 | Kimi K2 Thinking / K2.5 | GLM-4.7 | MiniMax M2.1 | MiMo-V2 Flash |
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| # Activated Params | 11B | 37B | 32B | 32B | 10B | 15B |
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| # Total Params (MoE) | 196B | 671B | 1T | 355B | 230B | 309B |
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| Est. decoding cost @ 128K context, Hopper GPU** | **1.0x
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| τ²-Bench | 88.2 | 80.3
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| BrowseComp | 51.6 | 51.4 | 41.5* / 60.6 | 52.0 | 47.4 | 45.4 |
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| BrowseComp (w/ Context Manager) | 69.0 | 67.6 | 60.2/74.9 | 67.5 | 62.0 | 58.3 |
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| BrowseComp-ZH | 66.9 | 65.0 | 62.3 / 62.3* | 66.6 | 47.8* | 51.2* |
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| BrowseComp-ZH (w/ Context Manager) | 73.7 | — |
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| GAIA (no file) | 84.5 | 75.1* | 75.6
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| xbench-DeepSearch (2025.05) | 83.7 | 78.0* | 76.0
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| xbench-DeepSearch (2025.10) | 56.3 | 55.7* |
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| ResearchRubrics | 65.3 | 55.8* | 56.2
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| AIME 2025 | 97.3 | 93.1 | 94.5/96.1 | 95.7 | 83.0 | 94.1 (95.1*) |
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| HMMT 2025 (Feb.) | 98.4 | 92.5 | 89.4/95.4 | 97.1 | 71.0* | 84.4 (95.4*) |
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| HMMT 2025 (Nov.) | 94.0 | 90.2 | 89.2
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| IMOAnswerBench | 85.4 | 78.3 | 78.6/81.8 | 82.0 | 60.4* | 80.9* |
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| LiveCodeBench-V6 | 86.4 | 83.3 | 83.1/85.0 | 84.9 | — | 80.6 (81.6*) |
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| SWE-bench Verified | 74.4 | 73.1 | 71.3/76.8 | 73.8 | 74.0 | 73.4 |
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| Terminal-Bench 2.0 | 51.0 | 46.4 | 35.7
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**Notes**:
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1. "—" indicates the score is not publicly available or not tested.
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@@ -305,11 +305,10 @@ print(output_text)
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- Minimum VRAM: 120 GB (e.g., Mac studio, DGX-Spark, AMD Ryzen AI Max+ 395)
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- Recommended: 128GB unified memory
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#### Steps
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1. Use
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> the folder `Step-3.5-Flash/tree/main/llama.cpp` is **obsolete**
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```bash
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git clone
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cd llama.cpp
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```
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2. Build llama.cpp on Mac:
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```bash
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### Detailed Benchmarks
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| Benchmark | Step 3.5 Flash | DeepSeek V3.2 | Kimi K2 Thinking / K2.5 | GLM-4.7 | MiniMax M2.1 | MiMo-V2 Flash |
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| # Activated Params | 11B | 37B | 32B | 32B | 10B | 15B |
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| # Total Params (MoE) | 196B | 671B | 1T | 355B | 230B | 309B |
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| Est. decoding cost (@ 128K context, Hopper GPU**) | **1.0x** (100 tok/s, MTP-3, EP8) | 6.0x (33 tok/s, MTP-1, EP32) | 18.9x (33 tok/s, no MTP, EP32) | 18.9x (100 tok/s, MTP-3, EP8) | 3.9x (100 tok/s, MTP-3, EP8) | 1.2x (100 tok/s, MTP-3, EP8) |
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| **Agency** | | | | | | |
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| τ²-Bench | **88.2** | 80.3 | 74.3* / — | 87.4 | 80.2* | 80.3 |
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| BrowseComp | 51.6 | 51.4 | 41.5* / **60.6** | 52.0 | 47.4 | 45.4 |
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| BrowseComp (w/ Context Manager) | 69.0 | 67.6 | 60.2 / **74.9** | 67.5 | 62.0 | 58.3 |
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| BrowseComp-ZH | **66.9** | 65.0 | 62.3 / 62.3* | 66.6 | 47.8* | 51.2* |
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| BrowseComp-ZH (w/ Context Manager) | **73.7** | — | — / — | — | — | — |
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| GAIA (no file) | **84.5** | 75.1* | 75.6* / 75.9* | 61.9* | 64.3* | 78.2* |
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| xbench-DeepSearch (2025.05) | **83.7** | 78.0* | 76.0* / 76.7* | 72.0* | 68.7* | 69.3* |
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| xbench-DeepSearch (2025.10) | **56.3** | 55.7* | — / 40+ | 52.3* | 43.0* | 44.0* |
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| ResearchRubrics | **65.3** | 55.8* | 56.2* / 59.5* | 62.0* | 60.2* | 54.3* |
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| **Reasoning** | | | | | | |
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| AIME 2025 | **97.3** | 93.1 | 94.5 / 96.1 | 95.7 | 83.0 | 94.1 (95.1*) |
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| HMMT 2025 (Feb.) | **98.4** | 92.5 | 89.4 / 95.4 | 97.1 | 71.0* | 84.4 (95.4*) |
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| HMMT 2025 (Nov.) | **94.0** | 90.2 | 89.2* / — | 93.5 | 74.3* | 91.0* |
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| IMOAnswerBench | **85.4** | 78.3 | 78.6 / 81.8 | 82.0 | 60.4* | 80.9* |
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| **Coding** | | | | | | |
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| LiveCodeBench-V6 | **86.4** | 83.3 | 83.1 / 85.0 | 84.9 | — | 80.6 (81.6*) |
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| SWE-bench Verified | 74.4 | 73.1 | 71.3 / **76.8** | 73.8 | 74.0 | 73.4 |
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| Terminal-Bench 2.0 | **51.0** | 46.4 | 35.7* / 50.8 | 41.0 | 47.9 | 38.5 |
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**Notes**:
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1. "—" indicates the score is not publicly available or not tested.
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- Minimum VRAM: 120 GB (e.g., Mac studio, DGX-Spark, AMD Ryzen AI Max+ 395)
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- Recommended: 128GB unified memory
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#### Steps
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1. Use llama.cpp:
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```bash
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git clone git@github.com:stepfun-ai/Step-3.5-Flash.git
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cd Step-3.5-Flash/llama.cpp
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```
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2. Build llama.cpp on Mac:
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```bash
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step-bar-chart.png
CHANGED
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Git LFS Details
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Git LFS Details
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