Datasets:

Formats:
parquet
ArXiv:
License:
File size: 2,087 Bytes
fcf2e36
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
{
  "scenario": "text",
  "model_count": 63,
  "model_ids": [
    "openai-gpt-5-6-sol",
    "openai-gpt-5-6-terra",
    "openai-gpt-5-6-luna",
    "openai-gpt-5.4-mini",
    "openai-gpt-5.4-nano",
    "openai-gpt-5-mini",
    "openai-gpt-4.1",
    "openai-gpt-4.1-mini",
    "openai-o4-mini",
    "openai-gpt-oss-20b",
    "openai-gpt-oss-120b",
    "moonshot-kimi-k3",
    "minimax-minimax-m3",
    "minimax-minimax-m2.7",
    "z-ai-glm-5.2",
    "z-ai-glm-4-32b-0414",
    "z-ai-glm-4.5-air",
    "z-ai-glm-4.7",
    "deepseek-deepseek-v4-pro",
    "deepseek-deepseek-v4-flash",
    "deepseek-deepseek-r1-distill-qwen-1.5b",
    "deepseek-deepseek-r1-distill-qwen-7b",
    "deepseek-deepseek-r1-distill-qwen-14b",
    "deepseek-deepseek-r1-distill-qwen-32b",
    "deepseek-deepseek-r1",
    "qwen-qwen3.8-max",
    "qwen-qwen3.7-max",
    "qwen-qwen3.7-plus",
    "qwen-qwen3-14b",
    "qwen-qwen3-32b",
    "meta-llama-meta-llama-3.1-8b-instruct",
    "qwen-qwen3-30b-a3b",
    "z-ai-glm-5.3",
    "google-gemini-3.1-flash-lite",
    "google-gemini-3.5-flash",
    "anthropic-claude-fable-5",
    "anthropic-claude-opus-5",
    "qwen-qwen3-0.6b",
    "qwen-qwen3-1.7b",
    "qwen-qwen3-4b",
    "qwen-qwen3-8b",
    "qwen-qwen2.5-coder-0.5b",
    "qwen-qwen2.5-coder-3b",
    "qwen-qwen2.5-coder-7b",
    "google-gemma-4-e2b",
    "google-gemma-3-4b-it",
    "microsoft-phi-3.5-mini-instruct",
    "microsoft-phi-4-mini-instruct",
    "qwen-qwen2.5-coder-14b-instruct",
    "qwen-qwen2.5-vl-3b-instruct",
    "qwen-qwen2.5-vl-7b-instruct",
    "meta-llama-llama-3.2-1b-instruct",
    "meta-llama-llama-3.2-3b-instruct",
    "google-gemma-2-9b-it",
    "opengvlab-internvl3-1b",
    "opengvlab-internvl3-2b",
    "opengvlab-internvl3-8b",
    "opengvlab-internvl3-9b",
    "mistralai-ministral-3-3b-instruct-2512",
    "mistralai-ministral-3-8b-instruct-2512",
    "mistralai-ministral-3-8b-reasoning-2512",
    "mistralai-ministral-3-14b-instruct-2512",
    "microsoft-phi-4-multimodal-instruct"
  ],
  "array_alignment": "performance, cost_cny, and latency_ms use model_ids order"
}