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GSMA
/
leaderboard

Tasks:
Text Classification
Question Answering
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Tags:
telecommunications
5g
llm-evaluation
benchmark
leaderboard
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2
emolero commited on
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3d12ad7
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1 Parent(s): 8b8f478

Update leaderboard_scores.csv with 98 models from MWC leaderboard

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  1. leaderboard_scores.csv +66 -66
leaderboard_scores.csv CHANGED
@@ -1,81 +1,81 @@
1
  model,provider,rank,average,benchmarks_completed,teleqna,teletables,oranbench,srsranbench,telemath,telelogs,three_gpp
2
- gemini-3-pro-preview,Google,1,0.746524,7,"[0.829, 0.011912]","[0.45, 0.05]","[0.833333, 0.030531]","[0.813333, 0.031921]","[0.78, 0.041633]","[0.86, 0.034874]","[0.66, 0.04761]"
3
- gemini-3.1-pro-preview,Google,2,0.738117,6,"[0.852, 0.0112]","[0.48, 0.0502]",,"[0.8467, 0.029518]","[0.73, 0.0446]","[0.82, 0.0386]","[0.7, 0.0461]"
4
- gpt-5,OpenAI,3,0.718757,7,"[0.838, 0.011657]","[0.37, 0.048524]","[0.86, 0.028426]","[0.8133, 0.031921]","[0.79, 0.040936]","[0.78, 0.041633]","[0.58, 0.049604]"
5
- claude-opus-4.6,Anthropic,4,0.705117,6,"[0.844, 0.0115]","[0.43, 0.0498]",,"[0.8467, 0.029518]","[0.75, 0.0435]","[0.7, 0.0461]","[0.66, 0.0476]"
6
  gemini-3-flash-preview,Google,5,0.704095,7,"[0.832, 0.011829]","[0.48, 0.050212]","[0.893333, 0.025289]","[0.833333, 0.030531]","[0.8, 0.040202]","[0.46, 0.050091]","[0.63, 0.048524]"
7
  claude-opus-4.5,Anthropic,6,0.696429,7,"[0.845, 0.01145]","[0.39, 0.049021]","[0.893333, 0.025289]","[0.826667, 0.031011]","[0.72, 0.045126]","[0.56, 0.049889]","[0.64, 0.048242]"
8
- o3,OpenAI,7,0.693905,7,"[0.834, 0.011772]","[0.34, 0.04761]","[0.846667, 0.029518]","[0.786667, 0.033561]","[0.74, 0.044084]","[0.72, 0.045126]","[0.59, 0.049431]"
9
- grok-4-fast,xAI,8,0.68419,7,"[0.836, 0.011715]","[0.35, 0.047937]","[0.833333, 0.030531]","[0.84, 0.030034]","[0.66, 0.04761]","[0.75, 0.043519]","[0.52, 0.050212]"
10
- claude-opus-4,Anthropic,9,0.682476,7,"[0.824, 0.012049]","[0.36, 0.048242]","[0.846667, 0.029518]","[0.806667, 0.032352]","[0.71, 0.045605]","[0.65, 0.047937]","[0.58, 0.049604]"
11
- claude-opus-4.1,Anthropic,10,0.680429,7,"[0.823, 0.012075]","[0.36, 0.048242]","[0.8733, 0.027248]","[0.8067, 0.032352]","[0.73, 0.04462]","[0.59, 0.049431]","[0.58, 0.049604]"
12
- kimi-k2.5,Moonshot AI,11,0.672117,6,"[0.836, 0.011715]","[0.42, 0.049604]",,"[0.8467, 0.029518]","[0.76, 0.042923]","[0.6, 0.049237]","[0.57, 0.049757]"
13
- grok-4.1-fast,xAI,12,0.671371,7,"[0.813, 0.012336]","[0.32, 0.046883]","[0.7933, 0.033172]","[0.8133, 0.031921]","[0.7, 0.046057]","[0.71, 0.045605]","[0.55, 0.05]"
14
- claude-3.7-sonnet,Anthropic,13,0.655619,7,"[0.816, 0.012259]","[0.38, 0.048783]","[0.82, 0.031474]","[0.773333, 0.034299]","[0.65, 0.047937]","[0.59, 0.049431]","[0.56, 0.049889]"
15
- o1,OpenAI,14,0.65095,6,"[0.819, 0.012181]","[0.29, 0.045605]",,"[0.8067, 0.032352]","[0.72, 0.045126]","[0.73, 0.04462]","[0.54, 0.050091]"
16
- claude-sonnet-4,Anthropic,15,0.648095,7,"[0.83, 0.011884]","[0.31, 0.046482]","[0.853333, 0.028982]","[0.813333, 0.031921]","[0.7, 0.046057]","[0.47, 0.050161]","[0.56, 0.049889]"
17
- qwen3-235b-a22b-2507,Qwen,16,0.636229,7,"[0.797, 0.012726]","[0.37, 0.048524]","[0.7933, 0.033172]","[0.7933, 0.033172]","[0.64, 0.048242]","[0.61, 0.049021]","[0.45, 0.05]"
18
- gemini-2.5-flash,Google,17,0.633048,7,"[0.788, 0.012931]","[0.38, 0.048783]","[0.833333, 0.030531]","[0.84, 0.030034]","[0.64, 0.048242]","[0.41, 0.049431]","[0.54, 0.050091]"
19
- claude-sonnet-4.5,Anthropic,18,0.62605,6,"[0.823, 0.012075]","[0.32, 0.046883]",,"[0.7733, 0.034299]","[0.68, 0.046883]","[0.59, 0.049431]","[0.57, 0.049757]"
20
- grok-code-fast-1,xAI,19,0.6225,6,"[0.785, 0.012998]","[0.32, 0.046883]",,"[0.82, 0.031474]","[0.65, 0.047937]","[0.61, 0.049021]","[0.55, 0.05]"
21
- gemini-2.0-flash-001,Google,20,0.614048,7,"[0.805, 0.012535]","[0.37, 0.048524]","[0.793333, 0.033172]","[0.82, 0.031474]","[0.61, 0.049021]","[0.34, 0.04761]","[0.56, 0.049889]"
22
- minimax-m2.5,MiniMax,21,0.6135,6,"[0.791, 0.0129]","[0.35, 0.0479]","[0.8, 0.032769]",,"[0.67, 0.0473]","[0.56, 0.0499]","[0.51, 0.0502]"
23
- gemini-2.5-pro,Google,22,0.610783,6,"[0.818, 0.012208]","[0.3, 0.046057]",,"[0.8467, 0.029518]","[0.75, 0.043519]","[0.37, 0.048524]","[0.58, 0.049604]"
24
- grok-3-mini,xAI,23,0.610381,7,"[0.806, 0.012511]","[0.38, 0.048783]","[0.806667, 0.032352]","[0.82, 0.031474]","[0.48, 0.050212]","[0.47, 0.050161]","[0.51, 0.050242]"
25
- claude-3.5-sonnet,Anthropic,24,0.608714,7,"[0.821, 0.012129]","[0.3, 0.046057]","[0.78, 0.033936]","[0.84, 0.030034]","[0.56, 0.049889]","[0.41, 0.049431]","[0.55, 0.05]"
26
- mimo-v2-flash,Xiaomi,25,0.608486,7,"[0.786, 0.012976]","[0.29, 0.045605]","[0.7867, 0.033561]","[0.8667, 0.027849]","[0.64, 0.048242]","[0.34, 0.04761]","[0.55, 0.05]"
27
- gpt-5-nano,OpenAI,26,0.603043,7,"[0.768, 0.013355]","[0.41, 0.049431]","[0.78, 0.033936]","[0.7933, 0.033172]","[0.67, 0.047258]","[0.48, 0.050212]","[0.32, 0.046883]"
28
- gpt-4.1,OpenAI,27,0.601717,6,"[0.817, 0.012234]","[0.35, 0.047937]",,"[0.8133, 0.031921]","[0.64, 0.048242]","[0.46, 0.050091]","[0.53, 0.050161]"
29
- gpt-5.1,OpenAI,28,0.601476,7,"[0.827, 0.011967]","[0.36, 0.048242]","[0.853333, 0.028982]","[0.8, 0.032769]","[0.65, 0.047937]","[0.16, 0.036845]","[0.56, 0.049889]"
30
- o4-mini,OpenAI,29,0.601333,6,"[0.808, 0.012462]","[0.4, 0.049237]",,"[0.78, 0.033936]","[0.68, 0.046883]","[0.49, 0.050242]","[0.45, 0.05]"
31
- claude-haiku-4.5,Anthropic,30,0.599857,7,"[0.789, 0.012909]","[0.28, 0.045126]","[0.84, 0.030034]","[0.8, 0.032769]","[0.63, 0.048524]","[0.34, 0.04761]","[0.52, 0.050212]"
32
- gpt-5.2,OpenAI,31,0.592283,6,"[0.827, 0.011967]","[0.33, 0.047258]",,"[0.8267, 0.031011]","[0.71, 0.045605]","[0.33, 0.047258]","[0.53, 0.050161]"
33
- gpt-oss-120b,OpenAI,32,0.582714,7,"[0.799, 0.012679]","[0.3, 0.046057]","[0.8, 0.032769]","[0.84, 0.030034]","[0.57, 0.049757]","[0.45, 0.05]","[0.32, 0.046883]"
34
- gpt-4.1-mini,OpenAI,33,0.580243,7,"[0.795, 0.012773]","[0.3, 0.046057]","[0.8067, 0.032352]","[0.8, 0.032769]","[0.59, 0.049431]","[0.4, 0.049237]","[0.37, 0.048524]"
35
- llama-4-maverick,Meta,34,0.578667,6,"[0.802, 0.012608]","[0.34, 0.04761]",,"[0.82, 0.031474]","[0.66, 0.04761]","[0.35, 0.047937]","[0.5, 0.050252]"
36
- chatgpt-4o-latest,OpenAI,35,0.578,5,"[0.81, 0.012412]","[0.32, 0.046883]",,,"[0.66, 0.04761]","[0.52, 0.050212]","[0.58, 0.049604]"
37
- deepseek-v3-0324,DeepSeek,36,0.559333,6,"[0.816, 0.012259]","[0.28, 0.045126]",,"[0.8, 0.032769]","[0.57, 0.049757]","[0.4, 0.049237]","[0.49, 0.050242]"
38
  deepseek-v3p1,DeepSeek,37,0.5482,5,"[0.791, 0.012864]","[0.31, 0.046482]",,,"[0.63, 0.048524]","[0.49, 0.050242]","[0.52, 0.050212]"
39
  llama-v3p3-70b-instruct,Meta,38,0.546614,7,"[0.773, 0.013253]","[0.29, 0.045605]","[0.76, 0.034988]","[0.8533, 0.028982]","[0.45, 0.05]","[0.18, 0.038612]","[0.52, 0.050212]"
40
  qwen2.5-72b,Qwen,39,0.539686,7,"[0.7649, 0.0042]","[0.292, 0.0203]","[0.7471, 0.0112]","[0.7947, 0.0104]","[0.4547, 0.021]","[0.2731, 0.013]","[0.4513, 0.0111]"
41
- mistral-small-24b,Mistral,40,0.516271,7,"[0.7374, 0.0044]","[0.2973, 0.0204]","[0.7171, 0.0116]","[0.763, 0.011]","[0.3613, 0.0207]","[0.2311, 0.0127]","[0.5067, 0.0112]"
42
- qwen2.5-32b,Qwen,41,0.506714,7,"[0.7499, 0.0043]","[0.2853, 0.0201]","[0.7327, 0.0114]","[0.7594, 0.011]","[0.4187, 0.0207]","[0.2488, 0.0128]","[0.3522, 0.0107]"
43
- phi-4-14b,Microsoft,42,0.504529,7,"[0.7308, 0.0044]","[0.2993, 0.0199]","[0.7369, 0.0114]","[0.8336, 0.0096]","[0.4007, 0.0209]","[0.1979, 0.0115]","[0.3325, 0.0105]"
44
- gemma3-27b,Google,43,0.504329,7,"[0.7131, 0.0045]","[0.3333, 0.0211]","[0.7158, 0.0116]","[0.8056, 0.0102]","[0.4067, 0.0205]","[0.1601, 0.0108]","[0.3957, 0.0109]"
45
- gpt-5-mini,OpenAI,44,0.501957,7,"[0.447, 0.01573]","[0.28, 0.045126]","[0.5267, 0.040903]","[0.6, 0.040134]","[0.71, 0.045605]","[0.52, 0.050212]","[0.43, 0.049757]"
46
- command-a,Cohere,45,0.4875,6,"[0.775, 0.013212]","[0.29, 0.045605]",,"[0.78, 0.033936]","[0.41, 0.049431]","[0.28, 0.045126]","[0.39, 0.049021]"
47
- gpt-4,OpenAI,46,0.485762,7,"[0.767, 0.013375]","[0.18, 0.038612]","[0.733333, 0.036228]","[0.78, 0.033936]","[0.19, 0.039428]","[0.22, 0.041633]","[0.53, 0.050161]"
48
- qwen2.5-14b,Qwen,47,0.485386,7,"[0.7248, 0.0045]","[0.294, 0.0204]","[0.7256, 0.0115]","[0.7763, 0.0108]","[0.324, 0.0193]","[0.218, 0.0112]","[0.335, 0.0106]"
49
- gpt-4.1-nano,OpenAI,48,0.482757,7,"[0.726, 0.014111]","[0.28, 0.045126]","[0.7133, 0.037046]","[0.74, 0.035934]","[0.52, 0.050212]","[0.13, 0.0338]","[0.27, 0.04462]"
50
- gpt-4o-mini,OpenAI,49,0.472383,6,"[0.751, 0.013682]","[0.37, 0.048524]",,"[0.8133, 0.031921]","[0.39, 0.049021]","[0.13, 0.0338]","[0.38, 0.048783]"
51
- qwen3-32b,Qwen,50,0.467714,7,"[0.784, 0.013]","[0.34, 0.048]","[0.746667, 0.03563]","[0.793333, 0.033172]","[0.27, 0.045]","[0.0, 0.0]","[0.34, 0.048]"
52
- mistral-small-22b,Mistral,51,0.4666,7,"[0.6698, 0.0047]","[0.284, 0.0201]","[0.6936, 0.0119]","[0.7696, 0.0109]","[0.2353, 0.0179]","[0.2442, 0.0132]","[0.3697, 0.0108]"
53
- gemma3-12b,Google,52,0.463843,7,"[0.6879, 0.0046]","[0.274, 0.0199]","[0.6953, 0.0119]","[0.8007, 0.0103]","[0.274, 0.0175]","[0.1852, 0.011]","[0.3298, 0.0105]"
54
- falcon3-10b,TII,53,0.458814,7,"[0.6866, 0.0046]","[0.2767, 0.02]","[0.6369, 0.0124]","[0.7679, 0.0109]","[0.3433, 0.0204]","[0.191, 0.0117]","[0.3093, 0.0103]"
55
- gemma2-27b,Google,54,0.458486,7,"[0.718, 0.0045]","[0.2727, 0.0199]","[0.7071, 0.0118]","[0.8111, 0.0101]","[0.2393, 0.0181]","[0.1142, 0.0108]","[0.347, 0.0106]"
56
- qwen2.5-7b,Qwen,55,0.457943,7,"[0.7024, 0.0046]","[0.3007, 0.0205]","[0.6982, 0.0118]","[0.7772, 0.0107]","[0.2973, 0.019]","[0.1431, 0.0084]","[0.2867, 0.0101]"
57
- claude-3.5-haiku,Anthropic,56,0.452217,6,"[0.74, 0.013878]","[0.25, 0.043519]","[0.7733, 0.034299]",,"[0.36, 0.048242]","[0.15, 0.035887]","[0.44, 0.049889]"
58
- claude-sonnet-4.6,Anthropic,57,0.44781,7,"[0.448, 0.0157]","[0.44, 0.0499]","[0.266667, 0.036228]","[0.2, 0.032769]","[0.7, 0.0461]","[0.46, 0.0501]","[0.62, 0.0488]"
59
- phi-4,Microsoft,58,0.444095,7,"[0.682, 0.014734]","[0.21, 0.040936]","[0.713333, 0.037046]","[0.833333, 0.030531]","[0.33, 0.047258]","[0.04, 0.019695]","[0.3, 0.046057]"
60
- gpt-3.5-turbo,OpenAI,59,0.438524,7,"[0.713, 0.014312]","[0.21, 0.040936]","[0.7, 0.037542]","[0.786667, 0.033561]","[0.17, 0.037753]","[0.09, 0.028762]","[0.4, 0.049237]"
61
- granite3.2-8b,IBM,60,0.433729,7,"[0.6745, 0.0047]","[0.288, 0.0203]","[0.676, 0.0121]","[0.8107, 0.0101]","[0.126, 0.0127]","[0.1489, 0.012]","[0.312, 0.0103]"
62
- deepseek-r1-0528,DeepSeek,61,0.433714,7,"[0.726, 0.014111]","[0.11, 0.031447]","[0.786667, 0.033561]","[0.793333, 0.033172]","[0.12, 0.03266]","[0.0, 0.0]","[0.5, 0.050252]"
63
- gemma2-9b,Google,62,0.433614,7,"[0.6938, 0.0046]","[0.2893, 0.0203]","[0.6982, 0.0118]","[0.8038, 0.0102]","[0.1513, 0.0149]","[0.1177, 0.0107]","[0.2812, 0.01]"
64
- qwen2.5-coder-7b,Qwen,63,0.421043,7,"[0.6692, 0.0047]","[0.294, 0.02]","[0.6702, 0.0121]","[0.6507, 0.0123]","[0.2067, 0.0169]","[0.1782, 0.0112]","[0.2783, 0.01]"
65
- mistral-nemo-12b,Mistral,64,0.417729,7,"[0.6422, 0.0048]","[0.278, 0.0199]","[0.6611, 0.0122]","[0.7, 0.037542]","[0.1053, 0.0121]","[0.142, 0.0103]","[0.3955, 0.0109]"
66
- granite3.3-8b,IBM,65,0.414771,7,"[0.6578, 0.0047]","[0.2813, 0.0201]","[0.6618, 0.0122]","[0.7579, 0.011]","[0.1433, 0.0138]","[0.1335, 0.0107]","[0.2678, 0.0099]"
67
- qwen2.5-3b,Qwen,66,0.4133,7,"[0.6638, 0.0047]","[0.272, 0.0183]","[0.6713, 0.012]","[0.7281, 0.0114]","[0.1373, 0.0136]","[0.1381, 0.0085]","[0.2825, 0.01]"
68
- qwen3-8b,Qwen,67,0.410714,7,"[0.745, 0.014]","[0.29, 0.046]","[0.673333, 0.038422]","[0.746667, 0.03563]","[0.11, 0.031]","[0.0, 0.0]","[0.31, 0.046]"
69
- claude-3-haiku,Anthropic,68,0.409217,6,"[0.722, 0.014175]","[0.27, 0.04462]",,"[0.7533, 0.035315]","[0.21, 0.040936]","[0.1, 0.030151]","[0.4, 0.049237]"
70
  deepseek-v3p2,DeepSeek,69,0.409,7,"[0.713, 0.014312]","[0.08, 0.027266]","[0.78, 0.033936]","[0.78, 0.033936]","[0.08, 0.027266]","[0.0, 0.0]","[0.43, 0.049757]"
71
  phi-3.5-mini,Microsoft,70,0.408014,7,"[0.6216, 0.0048]","[0.2887, 0.0202]","[0.6338, 0.0124]","[0.7559, 0.011]","[0.162, 0.0151]","[0.1181, 0.0106]","[0.276, 0.01]"
72
  internlm2.5-20b,InternLM,71,0.405914,7,"[0.6721, 0.0047]","[0.256, 0.0189]","[0.6231, 0.0125]","[0.7011, 0.0118]","[0.126, 0.0133]","[0.1566, 0.0102]","[0.3065, 0.0103]"
73
  phi-4-mini,Microsoft,72,0.405329,7,"[0.6489, 0.0048]","[0.2593, 0.0194]","[0.6996, 0.0118]","[0.7213, 0.0115]","[0.2233, 0.0165]","[0.0262, 0.004]","[0.2587, 0.0097]"
74
  internlm2.5-7b,InternLM,73,0.403771,7,"[0.669, 0.0047]","[0.3013, 0.0204]","[0.6547, 0.0122]","[0.7381, 0.0113]","[0.088, 0.0107]","[0.1211, 0.0082]","[0.2542, 0.0097]"
75
  deepseek-r1-32b,DeepSeek,74,0.403524,7,"[0.511333, 0.014985]","[0.073333, 0.023962]","[0.746667, 0.03563]","[0.786667, 0.033561]","[0.376667, 0.045358]","[0.173333, 0.0323]","[0.156667, 0.035598]"
76
- falcon3-3b,TII,75,0.377157,7,"[0.6082, 0.0049]","[0.2127, 0.018]","[0.5504, 0.0128]","[0.6303, 0.0124]","[0.23, 0.0177]","[0.1312, 0.009]","[0.2773, 0.01]"
77
- command-r7b-12-2024,Cohere,76,0.355757,7,"[0.517, 0.01581]","[0.2, 0.040202]","[0.6333, 0.039478]","[0.72, 0.036783]","[0.06, 0.023868]","[0.12, 0.03266]","[0.24, 0.042923]"
78
- gemma3-4b,Google,77,0.353167,6,"[0.652333, 0.01506]","[0.273333, 0.04454]",,"[0.74, 0.035934]","[0.136667, 0.029242]","[0.116667, 0.026958]","[0.2, 0.040202]"
79
  gemma2-2b,Google,78,0.353029,7,"[0.6051, 0.0049]","[0.272, 0.0199]","[0.63, 0.0125]","[0.7364, 0.0114]","[0.0167, 0.0057]","[0.0035, 0.002]","[0.2075, 0.0091]"
80
  qwen2.5-1.5b,Qwen,79,0.351986,7,"[0.6102, 0.0049]","[0.274, 0.02]","[0.6193, 0.0125]","[0.5672, 0.0128]","[0.0413, 0.0071]","[0.1119, 0.0086]","[0.24, 0.0095]"
81
  mixtral-8x7b,Mistral,80,0.348957,7,"[0.4878, 0.005]","[0.1987, 0.0171]","[0.5669, 0.0127]","[0.6522, 0.0122]","[0.1, 0.0106]","[0.0999, 0.0073]","[0.3372, 0.0105]"
 
1
  model,provider,rank,average,benchmarks_completed,teleqna,teletables,oranbench,srsranbench,telemath,telelogs,three_gpp
2
+ gemini-3.1-pro-preview,Google,1,0.755529,7,"[0.852, 0.0112]","[0.48, 0.0502]","[0.86, 0.028426]","[0.8467, 0.029518]","[0.73, 0.0446]","[0.82, 0.0386]","[0.7, 0.0461]"
3
+ gemini-3-pro-preview,Google,2,0.746524,7,"[0.829, 0.011912]","[0.45, 0.05]","[0.833333, 0.030531]","[0.813333, 0.031921]","[0.78, 0.041633]","[0.86, 0.034874]","[0.66, 0.04761]"
4
+ claude-opus-4.6,Anthropic,3,0.732957,7,"[0.844, 0.0115]","[0.43, 0.0498]","[0.9, 0.024577]","[0.8467, 0.029518]","[0.75, 0.0435]","[0.7, 0.0461]","[0.66, 0.0476]"
5
+ gpt-5,OpenAI,4,0.718757,7,"[0.838, 0.011657]","[0.37, 0.048524]","[0.86, 0.028426]","[0.8133, 0.031921]","[0.79, 0.040936]","[0.78, 0.041633]","[0.58, 0.049604]"
6
  gemini-3-flash-preview,Google,5,0.704095,7,"[0.832, 0.011829]","[0.48, 0.050212]","[0.893333, 0.025289]","[0.833333, 0.030531]","[0.8, 0.040202]","[0.46, 0.050091]","[0.63, 0.048524]"
7
  claude-opus-4.5,Anthropic,6,0.696429,7,"[0.845, 0.01145]","[0.39, 0.049021]","[0.893333, 0.025289]","[0.826667, 0.031011]","[0.72, 0.045126]","[0.56, 0.049889]","[0.64, 0.048242]"
8
+ kimi-k2.5,Moonshot AI,7,0.694195,7,"[0.836, 0.011715]","[0.42, 0.049604]","[0.826667, 0.031011]","[0.8467, 0.029518]","[0.76, 0.042923]","[0.6, 0.049237]","[0.57, 0.049757]"
9
+ o3,OpenAI,8,0.693905,7,"[0.834, 0.011772]","[0.34, 0.04761]","[0.846667, 0.029518]","[0.786667, 0.033561]","[0.74, 0.044084]","[0.72, 0.045126]","[0.59, 0.049431]"
10
+ grok-4-fast,xAI,9,0.68419,7,"[0.836, 0.011715]","[0.35, 0.047937]","[0.833333, 0.030531]","[0.84, 0.030034]","[0.66, 0.04761]","[0.75, 0.043519]","[0.52, 0.050212]"
11
+ claude-opus-4,Anthropic,10,0.682476,7,"[0.824, 0.012049]","[0.36, 0.048242]","[0.846667, 0.029518]","[0.806667, 0.032352]","[0.71, 0.045605]","[0.65, 0.047937]","[0.58, 0.049604]"
12
+ o1,OpenAI,11,0.680814,7,"[0.819, 0.012181]","[0.29, 0.045605]","[0.86, 0.028426]","[0.8067, 0.032352]","[0.72, 0.045126]","[0.73, 0.04462]","[0.54, 0.050091]"
13
+ claude-opus-4.1,Anthropic,12,0.680429,7,"[0.823, 0.012075]","[0.36, 0.048242]","[0.8733, 0.027248]","[0.8067, 0.032352]","[0.73, 0.04462]","[0.59, 0.049431]","[0.58, 0.049604]"
14
+ grok-4.1-fast,xAI,13,0.671371,7,"[0.813, 0.012336]","[0.32, 0.046883]","[0.7933, 0.033172]","[0.8133, 0.031921]","[0.7, 0.046057]","[0.71, 0.045605]","[0.55, 0.05]"
15
+ claude-sonnet-4.5,Anthropic,14,0.660424,7,"[0.823, 0.012075]","[0.32, 0.046883]","[0.866667, 0.027849]","[0.7733, 0.034299]","[0.68, 0.046883]","[0.59, 0.049431]","[0.57, 0.049757]"
16
+ claude-3.7-sonnet,Anthropic,15,0.655619,7,"[0.816, 0.012259]","[0.38, 0.048783]","[0.82, 0.031474]","[0.773333, 0.034299]","[0.65, 0.047937]","[0.59, 0.049431]","[0.56, 0.049889]"
17
+ claude-sonnet-4,Anthropic,16,0.648095,7,"[0.83, 0.011884]","[0.31, 0.046482]","[0.853333, 0.028982]","[0.813333, 0.031921]","[0.7, 0.046057]","[0.47, 0.050161]","[0.56, 0.049889]"
18
+ minimax-m2.5,MiniMax,17,0.64681,7,"[0.791, 0.0129]","[0.35, 0.0479]","[0.8, 0.032769]","[0.846667, 0.029518]","[0.67, 0.0473]","[0.56, 0.0499]","[0.51, 0.0502]"
19
+ grok-code-fast-1,xAI,18,0.642143,7,"[0.785, 0.012998]","[0.32, 0.046883]","[0.76, 0.034988]","[0.82, 0.031474]","[0.65, 0.047937]","[0.61, 0.049021]","[0.55, 0.05]"
20
+ gemini-2.5-pro,Google,19,0.639719,7,"[0.818, 0.012208]","[0.3, 0.046057]","[0.813333, 0.031921]","[0.8467, 0.029518]","[0.75, 0.043519]","[0.37, 0.048524]","[0.58, 0.049604]"
21
+ qwen3-235b-a22b-2507,Qwen,20,0.636229,7,"[0.797, 0.012726]","[0.37, 0.048524]","[0.7933, 0.033172]","[0.7933, 0.033172]","[0.64, 0.048242]","[0.61, 0.049021]","[0.45, 0.05]"
22
+ gpt-4.1,OpenAI,21,0.633852,7,"[0.817, 0.012234]","[0.35, 0.047937]","[0.826667, 0.031011]","[0.8133, 0.031921]","[0.64, 0.048242]","[0.46, 0.050091]","[0.53, 0.050161]"
23
+ gemini-2.5-flash,Google,22,0.633048,7,"[0.788, 0.012931]","[0.38, 0.048783]","[0.833333, 0.030531]","[0.84, 0.030034]","[0.64, 0.048242]","[0.41, 0.049431]","[0.54, 0.050091]"
24
+ gpt-5.2,OpenAI,23,0.631481,7,"[0.827, 0.011967]","[0.33, 0.047258]","[0.866667, 0.027849]","[0.8267, 0.031011]","[0.71, 0.045605]","[0.33, 0.047258]","[0.53, 0.050161]"
25
+ o4-mini,OpenAI,24,0.630667,7,"[0.808, 0.012462]","[0.4, 0.049237]","[0.806667, 0.032352]","[0.78, 0.033936]","[0.68, 0.046883]","[0.49, 0.050242]","[0.45, 0.05]"
26
+ gemini-2.0-flash-001,Google,25,0.614048,7,"[0.805, 0.012535]","[0.37, 0.048524]","[0.793333, 0.033172]","[0.82, 0.031474]","[0.61, 0.049021]","[0.34, 0.04761]","[0.56, 0.049889]"
27
+ grok-3-mini,xAI,26,0.610381,7,"[0.806, 0.012511]","[0.38, 0.048783]","[0.806667, 0.032352]","[0.82, 0.031474]","[0.48, 0.050212]","[0.47, 0.050161]","[0.51, 0.050242]"
28
+ claude-3.5-sonnet,Anthropic,27,0.608714,7,"[0.821, 0.012129]","[0.3, 0.046057]","[0.78, 0.033936]","[0.84, 0.030034]","[0.56, 0.049889]","[0.41, 0.049431]","[0.55, 0.05]"
29
+ mimo-v2-flash,Xiaomi,28,0.608486,7,"[0.786, 0.012976]","[0.29, 0.045605]","[0.7867, 0.033561]","[0.8667, 0.027849]","[0.64, 0.048242]","[0.34, 0.04761]","[0.55, 0.05]"
30
+ gpt-5-nano,OpenAI,29,0.603043,7,"[0.768, 0.013355]","[0.41, 0.049431]","[0.78, 0.033936]","[0.7933, 0.033172]","[0.67, 0.047258]","[0.48, 0.050212]","[0.32, 0.046883]"
31
+ gpt-5.1,OpenAI,30,0.601476,7,"[0.827, 0.011967]","[0.36, 0.048242]","[0.853333, 0.028982]","[0.8, 0.032769]","[0.65, 0.047937]","[0.16, 0.036845]","[0.56, 0.049889]"
32
+ claude-haiku-4.5,Anthropic,31,0.599857,7,"[0.789, 0.012909]","[0.28, 0.045126]","[0.84, 0.030034]","[0.8, 0.032769]","[0.63, 0.048524]","[0.34, 0.04761]","[0.52, 0.050212]"
33
+ llama-4-maverick,Meta,32,0.596,7,"[0.802, 0.012608]","[0.34, 0.04761]","[0.7, 0.037542]","[0.82, 0.031474]","[0.66, 0.04761]","[0.35, 0.047937]","[0.5, 0.050252]"
34
+ deepseek-v3-0324,DeepSeek,33,0.592762,7,"[0.816, 0.012259]","[0.28, 0.045126]","[0.793333, 0.033172]","[0.8, 0.032769]","[0.57, 0.049757]","[0.4, 0.049237]","[0.49, 0.050242]"
35
+ gpt-oss-120b,OpenAI,34,0.582714,7,"[0.799, 0.012679]","[0.3, 0.046057]","[0.8, 0.032769]","[0.84, 0.030034]","[0.57, 0.049757]","[0.45, 0.05]","[0.32, 0.046883]"
36
+ gpt-4.1-mini,OpenAI,35,0.580243,7,"[0.795, 0.012773]","[0.3, 0.046057]","[0.8067, 0.032352]","[0.8, 0.032769]","[0.59, 0.049431]","[0.4, 0.049237]","[0.37, 0.048524]"
37
+ chatgpt-4o-latest,OpenAI,36,0.578,5,"[0.81, 0.012412]","[0.32, 0.046883]",,,"[0.66, 0.04761]","[0.52, 0.050212]","[0.58, 0.049604]"
38
  deepseek-v3p1,DeepSeek,37,0.5482,5,"[0.791, 0.012864]","[0.31, 0.046482]",,,"[0.63, 0.048524]","[0.49, 0.050242]","[0.52, 0.050212]"
39
  llama-v3p3-70b-instruct,Meta,38,0.546614,7,"[0.773, 0.013253]","[0.29, 0.045605]","[0.76, 0.034988]","[0.8533, 0.028982]","[0.45, 0.05]","[0.18, 0.038612]","[0.52, 0.050212]"
40
  qwen2.5-72b,Qwen,39,0.539686,7,"[0.7649, 0.0042]","[0.292, 0.0203]","[0.7471, 0.0112]","[0.7947, 0.0104]","[0.4547, 0.021]","[0.2731, 0.013]","[0.4513, 0.0111]"
41
+ command-a,Cohere,40,0.535,7,"[0.775, 0.013212]","[0.29, 0.045605]","[0.82, 0.031474]","[0.78, 0.033936]","[0.41, 0.049431]","[0.28, 0.045126]","[0.39, 0.049021]"
42
+ mistral-small-24b,Mistral,41,0.516271,7,"[0.7374, 0.0044]","[0.2973, 0.0204]","[0.7171, 0.0116]","[0.763, 0.011]","[0.3613, 0.0207]","[0.2311, 0.0127]","[0.5067, 0.0112]"
43
+ gpt-4o-mini,OpenAI,42,0.512519,7,"[0.751, 0.013682]","[0.37, 0.048524]","[0.753333, 0.035315]","[0.8133, 0.031921]","[0.39, 0.049021]","[0.13, 0.0338]","[0.38, 0.048783]"
44
+ qwen2.5-32b,Qwen,43,0.506714,7,"[0.7499, 0.0043]","[0.2853, 0.0201]","[0.7327, 0.0114]","[0.7594, 0.011]","[0.4187, 0.0207]","[0.2488, 0.0128]","[0.3522, 0.0107]"
45
+ phi-4-14b,Microsoft,44,0.504529,7,"[0.7308, 0.0044]","[0.2993, 0.0199]","[0.7369, 0.0114]","[0.8336, 0.0096]","[0.4007, 0.0209]","[0.1979, 0.0115]","[0.3325, 0.0105]"
46
+ gemma3-27b,Google,45,0.504329,7,"[0.7131, 0.0045]","[0.3333, 0.0211]","[0.7158, 0.0116]","[0.8056, 0.0102]","[0.4067, 0.0205]","[0.1601, 0.0108]","[0.3957, 0.0109]"
47
+ gpt-5-mini,OpenAI,46,0.501957,7,"[0.447, 0.01573]","[0.28, 0.045126]","[0.5267, 0.040903]","[0.6, 0.040134]","[0.71, 0.045605]","[0.52, 0.050212]","[0.43, 0.049757]"
48
+ claude-3.5-haiku,Anthropic,47,0.495233,7,"[0.74, 0.013878]","[0.25, 0.043519]","[0.7733, 0.034299]","[0.753333, 0.035315]","[0.36, 0.048242]","[0.15, 0.035887]","[0.44, 0.049889]"
49
+ gpt-4,OpenAI,48,0.485762,7,"[0.767, 0.013375]","[0.18, 0.038612]","[0.733333, 0.036228]","[0.78, 0.033936]","[0.19, 0.039428]","[0.22, 0.041633]","[0.53, 0.050161]"
50
+ qwen2.5-14b,Qwen,49,0.485386,7,"[0.7248, 0.0045]","[0.294, 0.0204]","[0.7256, 0.0115]","[0.7763, 0.0108]","[0.324, 0.0193]","[0.218, 0.0112]","[0.335, 0.0106]"
51
+ gpt-4.1-nano,OpenAI,50,0.482757,7,"[0.726, 0.014111]","[0.28, 0.045126]","[0.7133, 0.037046]","[0.74, 0.035934]","[0.52, 0.050212]","[0.13, 0.0338]","[0.27, 0.04462]"
52
+ qwen3-32b,Qwen,51,0.467714,7,"[0.784, 0.013]","[0.34, 0.048]","[0.746667, 0.03563]","[0.793333, 0.033172]","[0.27, 0.045]","[0.0, 0.0]","[0.34, 0.048]"
53
+ mistral-small-22b,Mistral,52,0.4666,7,"[0.6698, 0.0047]","[0.284, 0.0201]","[0.6936, 0.0119]","[0.7696, 0.0109]","[0.2353, 0.0179]","[0.2442, 0.0132]","[0.3697, 0.0108]"
54
+ gemma3-12b,Google,53,0.463843,7,"[0.6879, 0.0046]","[0.274, 0.0199]","[0.6953, 0.0119]","[0.8007, 0.0103]","[0.274, 0.0175]","[0.1852, 0.011]","[0.3298, 0.0105]"
55
+ falcon3-10b,TII,54,0.458814,7,"[0.6866, 0.0046]","[0.2767, 0.02]","[0.6369, 0.0124]","[0.7679, 0.0109]","[0.3433, 0.0204]","[0.191, 0.0117]","[0.3093, 0.0103]"
56
+ gemma2-27b,Google,55,0.458486,7,"[0.718, 0.0045]","[0.2727, 0.0199]","[0.7071, 0.0118]","[0.8111, 0.0101]","[0.2393, 0.0181]","[0.1142, 0.0108]","[0.347, 0.0106]"
57
+ claude-3-haiku,Anthropic,56,0.458376,7,"[0.722, 0.014175]","[0.27, 0.04462]","[0.753333, 0.035315]","[0.7533, 0.035315]","[0.21, 0.040936]","[0.1, 0.030151]","[0.4, 0.049237]"
58
+ qwen2.5-7b,Qwen,57,0.457943,7,"[0.7024, 0.0046]","[0.3007, 0.0205]","[0.6982, 0.0118]","[0.7772, 0.0107]","[0.2973, 0.019]","[0.1431, 0.0084]","[0.2867, 0.0101]"
59
+ claude-sonnet-4.6,Anthropic,58,0.44781,7,"[0.448, 0.0157]","[0.44, 0.0499]","[0.266667, 0.036228]","[0.2, 0.032769]","[0.7, 0.0461]","[0.46, 0.0501]","[0.62, 0.0488]"
60
+ phi-4,Microsoft,59,0.444095,7,"[0.682, 0.014734]","[0.21, 0.040936]","[0.713333, 0.037046]","[0.833333, 0.030531]","[0.33, 0.047258]","[0.04, 0.019695]","[0.3, 0.046057]"
61
+ gpt-3.5-turbo,OpenAI,60,0.438524,7,"[0.713, 0.014312]","[0.21, 0.040936]","[0.7, 0.037542]","[0.786667, 0.033561]","[0.17, 0.037753]","[0.09, 0.028762]","[0.4, 0.049237]"
62
+ granite3.2-8b,IBM,61,0.433729,7,"[0.6745, 0.0047]","[0.288, 0.0203]","[0.676, 0.0121]","[0.8107, 0.0101]","[0.126, 0.0127]","[0.1489, 0.012]","[0.312, 0.0103]"
63
+ deepseek-r1-0528,DeepSeek,62,0.433714,7,"[0.726, 0.014111]","[0.11, 0.031447]","[0.786667, 0.033561]","[0.793333, 0.033172]","[0.12, 0.03266]","[0.0, 0.0]","[0.5, 0.050252]"
64
+ gemma2-9b,Google,63,0.433614,7,"[0.6938, 0.0046]","[0.2893, 0.0203]","[0.6982, 0.0118]","[0.8038, 0.0102]","[0.1513, 0.0149]","[0.1177, 0.0107]","[0.2812, 0.01]"
65
+ qwen2.5-coder-7b,Qwen,64,0.421043,7,"[0.6692, 0.0047]","[0.294, 0.02]","[0.6702, 0.0121]","[0.6507, 0.0123]","[0.2067, 0.0169]","[0.1782, 0.0112]","[0.2783, 0.01]"
66
+ mistral-nemo-12b,Mistral,65,0.417729,7,"[0.6422, 0.0048]","[0.278, 0.0199]","[0.6611, 0.0122]","[0.7, 0.037542]","[0.1053, 0.0121]","[0.142, 0.0103]","[0.3955, 0.0109]"
67
+ granite3.3-8b,IBM,66,0.414771,7,"[0.6578, 0.0047]","[0.2813, 0.0201]","[0.6618, 0.0122]","[0.7579, 0.011]","[0.1433, 0.0138]","[0.1335, 0.0107]","[0.2678, 0.0099]"
68
+ qwen2.5-3b,Qwen,67,0.4133,7,"[0.6638, 0.0047]","[0.272, 0.0183]","[0.6713, 0.012]","[0.7281, 0.0114]","[0.1373, 0.0136]","[0.1381, 0.0085]","[0.2825, 0.01]"
69
+ qwen3-8b,Qwen,68,0.410714,7,"[0.745, 0.014]","[0.29, 0.046]","[0.673333, 0.038422]","[0.746667, 0.03563]","[0.11, 0.031]","[0.0, 0.0]","[0.31, 0.046]"
70
  deepseek-v3p2,DeepSeek,69,0.409,7,"[0.713, 0.014312]","[0.08, 0.027266]","[0.78, 0.033936]","[0.78, 0.033936]","[0.08, 0.027266]","[0.0, 0.0]","[0.43, 0.049757]"
71
  phi-3.5-mini,Microsoft,70,0.408014,7,"[0.6216, 0.0048]","[0.2887, 0.0202]","[0.6338, 0.0124]","[0.7559, 0.011]","[0.162, 0.0151]","[0.1181, 0.0106]","[0.276, 0.01]"
72
  internlm2.5-20b,InternLM,71,0.405914,7,"[0.6721, 0.0047]","[0.256, 0.0189]","[0.6231, 0.0125]","[0.7011, 0.0118]","[0.126, 0.0133]","[0.1566, 0.0102]","[0.3065, 0.0103]"
73
  phi-4-mini,Microsoft,72,0.405329,7,"[0.6489, 0.0048]","[0.2593, 0.0194]","[0.6996, 0.0118]","[0.7213, 0.0115]","[0.2233, 0.0165]","[0.0262, 0.004]","[0.2587, 0.0097]"
74
  internlm2.5-7b,InternLM,73,0.403771,7,"[0.669, 0.0047]","[0.3013, 0.0204]","[0.6547, 0.0122]","[0.7381, 0.0113]","[0.088, 0.0107]","[0.1211, 0.0082]","[0.2542, 0.0097]"
75
  deepseek-r1-32b,DeepSeek,74,0.403524,7,"[0.511333, 0.014985]","[0.073333, 0.023962]","[0.746667, 0.03563]","[0.786667, 0.033561]","[0.376667, 0.045358]","[0.173333, 0.0323]","[0.156667, 0.035598]"
76
+ gemma3-4b,Google,75,0.397,7,"[0.652333, 0.01506]","[0.273333, 0.04454]","[0.66, 0.038808]","[0.74, 0.035934]","[0.136667, 0.029242]","[0.116667, 0.026958]","[0.2, 0.040202]"
77
+ falcon3-3b,TII,76,0.377157,7,"[0.6082, 0.0049]","[0.2127, 0.018]","[0.5504, 0.0128]","[0.6303, 0.0124]","[0.23, 0.0177]","[0.1312, 0.009]","[0.2773, 0.01]"
78
+ command-r7b-12-2024,Cohere,77,0.355757,7,"[0.517, 0.01581]","[0.2, 0.040202]","[0.6333, 0.039478]","[0.72, 0.036783]","[0.06, 0.023868]","[0.12, 0.03266]","[0.24, 0.042923]"
79
  gemma2-2b,Google,78,0.353029,7,"[0.6051, 0.0049]","[0.272, 0.0199]","[0.63, 0.0125]","[0.7364, 0.0114]","[0.0167, 0.0057]","[0.0035, 0.002]","[0.2075, 0.0091]"
80
  qwen2.5-1.5b,Qwen,79,0.351986,7,"[0.6102, 0.0049]","[0.274, 0.02]","[0.6193, 0.0125]","[0.5672, 0.0128]","[0.0413, 0.0071]","[0.1119, 0.0086]","[0.24, 0.0095]"
81
  mixtral-8x7b,Mistral,80,0.348957,7,"[0.4878, 0.005]","[0.1987, 0.0171]","[0.5669, 0.0127]","[0.6522, 0.0122]","[0.1, 0.0106]","[0.0999, 0.0073]","[0.3372, 0.0105]"