AIME 2025
Models answer the 30 problems from the 2025 AIME I and II exams. Each answer is an integer from 0 to 999, scored by match.
The problems were published in February 2025, so models trained later may have seen them.
- Released
- February 2025
- Kind
- Competition problems with answers
- Level
- Competition
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- All public
- Strongest model tested
- GPT-5.2 Pro #31 on the capability index
- Last in a launch post
- August 2026
- Last model added
- August 2026
- Scores refreshed
- November 12th, 2026
8 models share the top score of 100% among models released by August 2026
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
GPT-5.2 leads with 100% across all independent runs
Best score per model across MathArena’s leaderboard, Epoch AI’s own runs and any board Epoch AI copied. Each bar and row names its source.
Grok 4 Heavy leads with 100%, claims included
Best score per model from every source, including labs’ own numbers and claims Epoch AI collected from reports and papers. Labs pick their own settings, so a claim can beat an independent run of the same model.
The newest model with a score here came out in August 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 100.0 Grok 4 Heavy
- 100.0 GPT-5
- 100.0
Qwen3-Max
- 100.0 Claude Sonnet 4.5
- 100.0
Gemini 3 Pro
- 100.0 GPT-5.2
- 100.0 GPT-5.2 Pro
- 100.0
LongCat-Flash-Thinking-2601
- 99.8 Claude Opus 4.6
- 99.7
Gemini 3 Flash
- 99.2
Gemini 2.5 Deep Think
- 98.8 Grok 4
- 98.7 gpt-oss-20b
- 98.3
Seed2.0 Pro
- 97.9 gpt-oss-120b
- 97.3
Step 3.5 Flash
- 97.0
MAI-Thinking-1
- 96.3 Claude Haiku 4.5
- 96.3
Trinity Large Thinking
- 96.1 Kimi K2.5
- 96.0
DeepSeek-V3.2-Speciale
- 95.7 GLM-4.7
- 95.6 Claude Sonnet 4.6
- 94.5 Kimi K2 Thinking
- 94.3
Seed1.8
- 94.1 MiMo-V2-Flash
- 94.0 GPT-5.1
- 94.0
MiniMax-M2.7
- 93.9 GLM-4.6
- 93.4
Ring-1T
- 93.3 Grok 3
- 93.1
DeepSeek-V3.2
- 93.1
Intern-S1-Pro
- 92.9
EXAONE 4.5 33B
- 92.8
K-EXAONE
- 92.8 Claude Opus 4.5
- 92.7 o4-mini
- 92.4
Nemotron-Cascade 2 30B-A3B
- 92.3
Qwen3-235B-A22B-Thinking
- 92.3
Nova 2.0 Pro Preview
- 92.1
Nova 2 Omni Preview
- 92.0 Grok 4 Fast
- 91.6 glm-4.7-flash
- 91.1 GPT-5 mini
- 91.0
Nova 2 Lite
- 90.8 Grok-3 mini
- 90.6
LongCat-Flash-Thinking
- 90.2
Nemotron 3 Super
- 90.0 Claude Opus 4
- 90.0
Command A+
- 89.7
Qwen3-VL-235B-A22B
- 89.5
Cogito v2.1
- 89.3
DeepSeek-V3.2-Exp
- 89.2 Granite 4.2 30B
- 89.1
Nemotron 3 Nano 30B-A3B
- 89.1
ERNIE 5.0
- 88.9 o3
- 88.4
DeepSeek-V3.1
- 88.3 Sarvam 105B
- 88.0
Gemini 2.5 Pro
- 88.0 INTELLECT-3
- 87.8
Qwen3-Next-80B-A3B
- 87.7
STEP3-VL-10B
- 87.5
DeepSeek-R1
- 86.7
Gemini 2.5 Pro
- 86.7
Keye-VL-2.0-30B-A3B
- 86.3
MiniMax-M2.5
- 86.3
Mistral Medium 3.5
- 86.0
Seed1.6-Thinking
- 86.0
Intern-S1
- 85.3
EXAONE 4.0 32B
- 85.2 GPT-5 nano
- 85.0 Claude Sonnet 4
- 85.0
Ministral 3 14B
- 84.7
seed-oss-36b-instruct
- 84.3
Solar Open 100B
- 83.8
Mistral Small 4
- 83.5
Magistral Medium 1.2
- 83.3
Magistral Medium 1.0
- 83.1
Falcon H1R 7B
- 83.1
Qwen3-Coder-Next
- 83.0
MiniMax-M2.1
- 82.9
Step 3
- 82.7
Llama-3.3-Nemotron-Super-49B-v1.5
- 82.1
Nemotron 3 Nano Omni 30B-A3B
- 81.5
Qwen3-235B-A22B
- 81.2 GPT-5.5 Instant
- 80.3
Solar Pro 3
- 80.0 Sarvam 30B
- 78.5
Nemotron 3 Nano 4B
- 78.1 Hermes 4 405B
- 78.1
Olmo 3.1 32B Think
- 78.0
ERNIE-4.5-21B-A3B-Thinking
- 78.0
Gemini 2.5 Flash
- 78.0
Phi-4-Reasoning-plus
- 78.0 Claude Opus 4.1
- 78.0
MiniMax-M2
- 77.3
Magistral Small 1.2
- 76.9
MiniMax-M1-80k
- 76.8
Hunyuan-A13B-Instruct
- 75.6
InternVL3.5-241B-A28B
- 75.6
Gemini 2.5 Flash
- 74.0
Seed-Thinking-v1.5
- 72.9
Qwen3-32B
- 72.9
Baichuan-M2-32B
- 72.5
Llama-3.1-Nemotron-Ultra-253B-v1
- 72.5
Olmo 3 32B Think
- 72.1 nvidia-nemotron-nano-9b-v2
- 72.0
Gemini 2.5 Flash
- 71.3
Nemotron Nano 12B v2 VL
- 70.9
Qwen3-30B-A3B
- 70.4
Qwen3-14B
- 69.3 Hermes 4.3 36B
- 69.1
Solar Pro 2
- 68.2
Code World Model (CWM)
- 67.3
Qwen3-8B
- 65.8
EXAONE Deep 32B
- 65.6
Qwen3-4B
- 65.0
Qwen3-Omni-30B-A3B
- 64.9 INTELLECT-2
- 63.6 GLM-Z1-32B-0414
- 63.1
Phi-4-reasoning
- 63.1
Gemini 2.5 Flash-Lite
- 62.8
Magistral Small 1.0
- 62.0
Magistral Small 1.1
- 61.3
LongCat-Flash-Chat
- 61.0
Magistral Medium 1.1
- 60.0
Llama-3.3-Nemotron-Super-49B-v1
- 55.4 MiMo-7B-RL
- 51.9 LFM2.5-2.6B
- 50.0 Reka Flash 3
- 49.5 Kimi K2
- 48.2
Gemini 2.5 Flash-Lite
- 42.5 LFM2.5-8B-A1B
- 36.8
Qwen3-1.7B
- 35.1
ERNIE-4.5-300B-A47B
- 33.6
Phi-4-mini-flash-reasoning
- 31.7 LFM2.5-1.2B-Thinking
- 24.4
Trinity Large Preview
- 16.7
Falcon-H1-34B
- 16.0
Amazon Nova Premier
- 14.0 LFM2.5-1.2B-Instruct
- 11.6
Gemma 3n E4B
- 1 Grok 4 Heavy 100%
- 2 GPT-5 100%
- 3
Qwen3-Max 100%
- 4 Claude Sonnet 4.5 100%
- 5
Gemini 3 Pro 100%
- 6 GPT-5.2 100%
- 7 GPT-5.2 Pro 100%
- 8
LongCat-Flash-Thinking-2601 100%
- 9 Claude Opus 4.6 99.8%
- 10
Gemini 3 Flash 99.7%
- 11
Gemini 2.5 Deep Think 99.2%
- 12 Grok 4 98.8%
- 13 gpt-oss-20b 98.7%
- 14
Seed2.0 Pro 98.3%
- 15 gpt-oss-120b 97.9%
- 16
Step 3.5 Flash 97.3%
- 17
MAI-Thinking-1 97%
- 18 Claude Haiku 4.5 96.3%
- 19
Trinity Large Thinking 96.3%
- 20 Kimi K2.5 96.1%
- 21
DeepSeek-V3.2-Speciale 96%
- 22 GLM-4.7 95.7%
- 23 Claude Sonnet 4.6 95.6%
- 24 Kimi K2 Thinking 94.5%
- 25
Seed1.8 94.3%
- 26 MiMo-V2-Flash 94.1%
- 27 GPT-5.1 94%
- 28
MiniMax-M2.7 94%
- 29 GLM-4.6 93.9%
- 30
Ring-1T 93.4%
- 31 Grok 3 93.3%
- 32
DeepSeek-V3.2 93.1%
- 33
Intern-S1-Pro 93.1%
- 34
EXAONE 4.5 33B 92.9%
- 35
K-EXAONE 92.8%
- 36 Claude Opus 4.5 92.8%
- 37 o4-mini 92.7%
- 38
Nemotron-Cascade 2 30B-A3B 92.4%
- 39
Qwen3-235B-A22B-Thinking Jul 2025 92.3%
- 40
Nova 2.0 Pro Preview 92.3%
- 41
Nova 2 Omni Preview 92.1%
- 42 Grok 4 Fast 92%
- 43 glm-4.7-flash 91.6%
- 44 GPT-5 mini 91.1%
- 45
Nova 2 Lite 91%
- 46 Grok-3 mini 90.8%
- 47
LongCat-Flash-Thinking 90.6%
- 48
Nemotron 3 Super 90.2%
- 49 Claude Opus 4 90%
- 50
Command A+ 90%
- 51
Qwen3-VL-235B-A22B 89.7%
- 52
Cogito v2.1 89.5%
- 53
DeepSeek-V3.2-Exp 89.3%
- 54 Granite 4.2 30B 89.2%
- 55
Nemotron 3 Nano 30B-A3B 89.1%
- 56
ERNIE 5.0 89.1%
- 57 o3 88.9%
- 58
DeepSeek-V3.1 88.4%
- 59 Sarvam 105B 88.3%
- 60
Gemini 2.5 Pro Jun 2025 88%
- 61 INTELLECT-3 88%
- 62
Qwen3-Next-80B-A3B 87.8%
- 63
STEP3-VL-10B 87.7%
- 64
DeepSeek-R1 May 2025 87.5%
- 65
Gemini 2.5 Pro Mar 2025 86.7%
- 66
Keye-VL-2.0-30B-A3B 86.7%
- 67
MiniMax-M2.5 86.3%
- 68
Mistral Medium 3.5 86.3%
- 69
Seed1.6-Thinking 86%
- 70
Intern-S1 86%
- 71
EXAONE 4.0 32B 85.3%
- 72 GPT-5 nano 85.2%
- 73 Claude Sonnet 4 85%
- 74
Ministral 3 14B 85%
- 75
seed-oss-36b-instruct 84.7%
- 76
Solar Open 100B 84.3%
- 77
Mistral Small 4 83.8%
- 78
Magistral Medium 1.2 83.5%
- 79
Magistral Medium 1.0 83.3%
- 80
Falcon H1R 7B 83.1%
- 81
Qwen3-Coder-Next 83.1%
- 82
MiniMax-M2.1 83%
- 83
Step 3 82.9%
- 84
Llama-3.3-Nemotron-Super-49B-v1.5 82.7%
- 85
Nemotron 3 Nano Omni 30B-A3B 82.1%
- 86
Qwen3-235B-A22B 81.5%
- 87 GPT-5.5 Instant 81.2%
- 88
Solar Pro 3 80.3%
- 89 Sarvam 30B 80%
- 90
Nemotron 3 Nano 4B 78.5%
- 91 Hermes 4 405B 78.1%
- 92
Olmo 3.1 32B Think 78.1%
- 93
ERNIE-4.5-21B-A3B-Thinking 78%
- 94
Gemini 2.5 Flash Apr 2025 78%
- 95
Phi-4-Reasoning-plus 78%
- 96 Claude Opus 4.1 78%
- 97
MiniMax-M2 78%
- 98
Magistral Small 1.2 77.3%
- 99
MiniMax-M1-80k 76.9%
- 100
Hunyuan-A13B-Instruct 76.8%
- 101
InternVL3.5-241B-A28B 75.6%
- 102
Gemini 2.5 Flash Sep 2025 75.6%
- 103
Seed-Thinking-v1.5 74%
- 104
Qwen3-32B 72.9%
- 105
Baichuan-M2-32B 72.9%
- 106
Llama-3.1-Nemotron-Ultra-253B-v1 72.5%
- 107
Olmo 3 32B Think 72.5%
- 108 nvidia-nemotron-nano-9b-v2 72.1%
- 109
Gemini 2.5 Flash Jun 2025 72%
- 110
Nemotron Nano 12B v2 VL 71.3%
- 111
Qwen3-30B-A3B 70.9%
- 112
Qwen3-14B 70.4%
- 113 Hermes 4.3 36B 69.3%
- 114
Solar Pro 2 69.1%
- 115
Code World Model (CWM) 68.2%
- 116
Qwen3-8B 67.3%
- 117
EXAONE Deep 32B 65.8%
- 118
Qwen3-4B 65.6%
- 119
Qwen3-Omni-30B-A3B 65%
- 120 INTELLECT-2 64.9%
- 121 GLM-Z1-32B-0414 63.6%
- 122
Phi-4-reasoning 63.1%
- 123
Gemini 2.5 Flash-Lite Jun 2025 63.1%
- 124
Magistral Small 1.0 62.8%
- 125
Magistral Small 1.1 62%
- 126
LongCat-Flash-Chat 61.3%
- 127
Magistral Medium 1.1 61%
- 128
Llama-3.3-Nemotron-Super-49B-v1 60%
- 129 MiMo-7B-RL 55.4%
- 130 LFM2.5-2.6B 51.9%
- 131 Reka Flash 3 50%
- 132 Kimi K2 Jul 2025 49.5%
- 133
Gemini 2.5 Flash-Lite Sep 2025 48.2%
- 134 LFM2.5-8B-A1B 42.5%
- 135
Qwen3-1.7B 36.8%
- 136
ERNIE-4.5-300B-A47B 35.1%
- 137
Phi-4-mini-flash-reasoning 33.6%
- 138 LFM2.5-1.2B-Thinking 31.7%
- 139
Trinity Large Preview 24.4%
- 140
Falcon-H1-34B 16.7%
- 141
Amazon Nova Premier 16%
- 142 LFM2.5-1.2B-Instruct 14%
- 143
Gemma 3n E4B 11.6%
Source: Labs’ model cards
- 100.0 GPT-5.2
- 98.3
Step 3.5 Flash
- 97.5
Gemini 3 Flash
- 96.7 GLM-5
- 95.8
DeepSeek-V3.2-Speciale
- 95.8 Kimi K2.5
- 95.0 GPT-5
- 95.0
Gemini 3 Pro
- 94.2 GPT-5.1
- 94.2
DeepSeek-V3.2
- 93.3 GLM-4.5
- 92.5 Grok 4
- 92.5 Kimi K2 Thinking
- 91.7 o4-mini
- 91.7
DeepSeek-V3.2-Exp
- 91.7 GLM-4.6
- 90.8
DeepSeek-V3.1
- 90.8 Grok 4 Fast
- 90.0 gpt-oss-120b
- 89.2 o3
- 89.2
DeepSeek-R1
- 89.2 gpt-oss-20b
- 89.2 Grok 4.1 Fast
- 88.3
Gemini 2.5 Pro
- 87.5 GPT-5 mini
- 86.7 o3-mini
- 86.7
Falcon H1R 7B
- 85.0 GPT-5 nano
- 84.2 Claude Sonnet 4.5
- 83.3
Gemini 2.5 Pro
- 83.3 GLM-4.5-Air
- 83.3
K2-Think
- 81.7 o1
- 81.7 Grok-3 mini
- 80.8
Qwen3-235B-A22B
- 77.5
QED-Nano
- 70.8
Gemini 2.5 Flash
- 70.0
DeepSeek-R1
- 70.0
Qwen3-30B-A3B
- 70.0 Claude Opus 4
- 65.8
QwQ-32B
- 60.0
DeepSeek-R1-Distill-Qwen-32B
- 55.0
DeepSeek-R1-Distill-Llama-70B
- 53.3
Gemini 2.0 Flash Thinking
- 50.0
DeepSeek-V3
- 49.2
DeepSeek-R1-Distill-Qwen-14B
- 49.2 Claude 3.7 Sonnet
- 33.3
QwQ-32B-Preview
- 27.5
Gemini 2.0 Flash
- 27.5
Gemini 2.0 Pro
- 20.0
DeepSeek-R1-Distill-Qwen-1.5B
- 11.7 GPT-4o
- 3.33 Claude 3.5 Sonnet
- 1 GPT-5.2 high 100%
- 2
Step 3.5 Flash 98.3%
- 3
Gemini 3 Flash high 97.5%
- 4 GLM-5 96.7%
- 5
DeepSeek-V3.2-Speciale 95.8%
- 6 Kimi K2.5 high 95.8%
- 7 GPT-5 high 95%
- 8
Gemini 3 Pro 95%
- 9 GPT-5.1 high 94.2%
- 10
DeepSeek-V3.2 thinking 94.2%
- 11 GLM-4.5 93.3%
- 12 Grok 4 92.5%
- 13 Kimi K2 Thinking 92.5%
- 14 o4-mini high 91.7%
- 15
DeepSeek-V3.2-Exp thinking 91.7%
- 16 GLM-4.6 91.7%
- 17
DeepSeek-V3.1 thinking 90.8%
- 18 Grok 4 Fast 90.8%
- 19 gpt-oss-120b high 90%
- 20 o3 high 89.2%
- 21
DeepSeek-R1 May 2025 89.2%
- 22 gpt-oss-20b high 89.2%
- 23 Grok 4.1 Fast reasoning 89.2%
- 24
Gemini 2.5 Pro Mar 2025 88.3%
- 25 GPT-5 mini high 87.5%
- 26 o3-mini high 86.7%
- 27
Falcon H1R 7B 86.7%
- 28 GPT-5 nano high 85%
- 29 Claude Sonnet 4.5 thinking 84.2%
- 30
Gemini 2.5 Pro May 2025 83.3%
- 31 GLM-4.5-Air 83.3%
- 32
K2-Think 83.3%
- 33 o1 medium 81.7%
- 34 Grok-3 mini high 81.7%
- 35
Qwen3-235B-A22B 80.8%
- 36
QED-Nano 77.5%
- 37
Gemini 2.5 Flash Sep 2025, thinking 70.8%
- 38
DeepSeek-R1 70%
- 39
Qwen3-30B-A3B 70%
- 40 Claude Opus 4 thinking 70%
- 41
QwQ-32B 65.8%
- 42
DeepSeek-R1-Distill-Qwen-32B 60%
- 43
DeepSeek-R1-Distill-Llama-70B 55%
- 44
Gemini 2.0 Flash Thinking Jan 2025 53.3%
- 45
DeepSeek-V3 Mar 2025 50%
- 46
DeepSeek-R1-Distill-Qwen-14B 49.2%
- 47 Claude 3.7 Sonnet thinking 49.2%
- 48
QwQ-32B-Preview 33.3%
- 49
Gemini 2.0 Flash Feb 2025 27.5%
- 50
Gemini 2.0 Pro 27.5%
- 51
DeepSeek-R1-Distill-Qwen-1.5B 20%
- 52 GPT-4o Mar 2025 11.7%
- 53 Claude 3.5 Sonnet 3.33%
Source: MathArena’s leaderboard
- 100.0 Grok 4 Heavy
- 100.0 GPT-5
- 100.0
Qwen3-Max
- 100.0 Claude Sonnet 4.5
- 100.0
Gemini 3 Pro
- 100.0 GPT-5.2
- 100.0 GPT-5.2 Pro
- 100.0
LongCat-Flash-Thinking-2601
- 99.8 Claude Opus 4.6
- 99.7
Gemini 3 Flash
- 99.2
Gemini 2.5 Deep Think
- 98.8 Grok 4
- 98.7 gpt-oss-20b
- 98.3
Step 3.5 Flash
- 98.3
Seed2.0 Pro
- 97.9 gpt-oss-120b
- 97.0
MAI-Thinking-1
- 96.7 GLM-5
- 96.3 Claude Haiku 4.5
- 96.3
Trinity Large Thinking
- 96.1 Kimi K2.5
- 96.0
DeepSeek-V3.2-Speciale
- 95.7 GLM-4.7
- 95.6 Claude Sonnet 4.6
- 94.5 Kimi K2 Thinking
- 94.3
Seed1.8
- 94.2 GPT-5.1
- 94.2
DeepSeek-V3.2
- 94.1 MiMo-V2-Flash
- 94.0
MiniMax-M2.7
- 93.9 GLM-4.6
- 93.4
Ring-1T
- 93.3 GLM-4.5
- 93.3 Grok 3
- 93.1
Intern-S1-Pro
- 92.9
EXAONE 4.5 33B
- 92.8
K-EXAONE
- 92.8 Claude Opus 4.5
- 92.7 o4-mini
- 92.4
Nemotron-Cascade 2 30B-A3B
- 92.3
Qwen3-235B-A22B-Thinking
- 92.3
Nova 2.0 Pro Preview
- 92.1
Nova 2 Omni Preview
- 92.0 Grok 4 Fast
- 91.7
DeepSeek-V3.2-Exp
- 91.6 glm-4.7-flash
- 91.1 GPT-5 mini
- 91.0
Nova 2 Lite
- 90.8
DeepSeek-V3.1
- 90.8 Grok-3 mini
- 90.6
LongCat-Flash-Thinking
- 90.2
Nemotron 3 Super
- 90.0 Claude Opus 4
- 90.0
Command A+
- 89.7
Qwen3-VL-235B-A22B
- 89.5
Cogito v2.1
- 89.2 o3
- 89.2
DeepSeek-R1
- 89.2 Grok 4.1 Fast
- 89.2 Granite 4.2 30B
- 89.1
Nemotron 3 Nano 30B-A3B
- 89.1
ERNIE 5.0
- 88.3
Gemini 2.5 Pro
- 88.3 Sarvam 105B
- 88.0
Gemini 2.5 Pro
- 88.0 INTELLECT-3
- 87.8
Qwen3-Next-80B-A3B
- 87.7
STEP3-VL-10B
- 86.7
Keye-VL-2.0-30B-A3B
- 86.7 o3-mini
- 86.7
Falcon H1R 7B
- 86.3
MiniMax-M2.5
- 86.3
Mistral Medium 3.5
- 86.0
Seed1.6-Thinking
- 86.0
Intern-S1
- 85.3
EXAONE 4.0 32B
- 85.2 GPT-5 nano
- 85.0 Claude Sonnet 4
- 85.0
Ministral 3 14B
- 84.7
seed-oss-36b-instruct
- 84.3
Solar Open 100B
- 83.8
Mistral Small 4
- 83.5
Magistral Medium 1.2
- 83.3
Gemini 2.5 Pro
- 83.3 GLM-4.5-Air
- 83.3
K2-Think
- 83.3
Magistral Medium 1.0
- 83.1
Qwen3-Coder-Next
- 83.0
MiniMax-M2.1
- 82.9
Step 3
- 82.7
Llama-3.3-Nemotron-Super-49B-v1.5
- 82.1
Nemotron 3 Nano Omni 30B-A3B
- 81.7 o1
- 81.5
Qwen3-235B-A22B
- 81.2 GPT-5.5 Instant
- 80.3
Solar Pro 3
- 80.0 Sarvam 30B
- 78.5
Nemotron 3 Nano 4B
- 78.1 Hermes 4 405B
- 78.1
Olmo 3.1 32B Think
- 78.0
ERNIE-4.5-21B-A3B-Thinking
- 78.0
Gemini 2.5 Flash
- 78.0
Phi-4-Reasoning-plus
- 78.0 Claude Opus 4.1
- 78.0
MiniMax-M2
- 77.5
QED-Nano
- 77.3
Magistral Small 1.2
- 76.9
MiniMax-M1-80k
- 76.8
Hunyuan-A13B-Instruct
- 75.6
InternVL3.5-241B-A28B
- 75.6
Gemini 2.5 Flash
- 74.0
Seed-Thinking-v1.5
- 72.9
Qwen3-32B
- 72.9
Baichuan-M2-32B
- 72.5
Llama-3.1-Nemotron-Ultra-253B-v1
- 72.5
Olmo 3 32B Think
- 72.1 nvidia-nemotron-nano-9b-v2
- 72.0
Gemini 2.5 Flash
- 71.3
Nemotron Nano 12B v2 VL
- 70.9
Qwen3-30B-A3B
- 70.4
Qwen3-14B
- 70.0
DeepSeek-R1
- 69.3 Hermes 4.3 36B
- 69.1
Solar Pro 2
- 68.2
Code World Model (CWM)
- 67.3
Qwen3-8B
- 65.8
QwQ-32B
- 65.8
EXAONE Deep 32B
- 65.6
Qwen3-4B
- 65.0
Qwen3-Omni-30B-A3B
- 64.9 INTELLECT-2
- 63.6 GLM-Z1-32B-0414
- 63.1
Phi-4-reasoning
- 63.1
Gemini 2.5 Flash-Lite
- 62.8
Magistral Small 1.0
- 62.0
Magistral Small 1.1
- 61.3
LongCat-Flash-Chat
- 61.0
Magistral Medium 1.1
- 60.0
DeepSeek-R1-Distill-Qwen-32B
- 60.0
Llama-3.3-Nemotron-Super-49B-v1
- 55.4 MiMo-7B-RL
- 55.0
DeepSeek-R1-Distill-Llama-70B
- 53.3
Gemini 2.0 Flash Thinking
- 51.9 LFM2.5-2.6B
- 50.0 Reka Flash 3
- 50.0
DeepSeek-V3
- 49.5 Kimi K2
- 49.2
DeepSeek-R1-Distill-Qwen-14B
- 49.2 Claude 3.7 Sonnet
- 48.2
Gemini 2.5 Flash-Lite
- 42.5 LFM2.5-8B-A1B
- 36.8
Qwen3-1.7B
- 35.1
ERNIE-4.5-300B-A47B
- 33.6
Phi-4-mini-flash-reasoning
- 33.3
QwQ-32B-Preview
- 31.7 LFM2.5-1.2B-Thinking
- 27.5
Gemini 2.0 Flash
- 27.5
Gemini 2.0 Pro
- 24.4
Trinity Large Preview
- 20.0
DeepSeek-R1-Distill-Qwen-1.5B
- 16.7
Falcon-H1-34B
- 16.0
Amazon Nova Premier
- 14.0 LFM2.5-1.2B-Instruct
- 11.7 GPT-4o
- 11.6
Gemma 3n E4B
- 3.33 Claude 3.5 Sonnet
- 1 Grok 4 Heavy 100%
- 2 GPT-5 100%
- 3
Qwen3-Max 100%
- 4 Claude Sonnet 4.5 100%
- 5
Gemini 3 Pro 100%
- 6 GPT-5.2 high 100%
- 7 GPT-5.2 Pro 100%
- 8
LongCat-Flash-Thinking-2601 100%
- 9 Claude Opus 4.6 99.8%
- 10
Gemini 3 Flash 99.7%
- 11
Gemini 2.5 Deep Think 99.2%
- 12 Grok 4 98.8%
- 13 gpt-oss-20b 98.7%
- 14
Step 3.5 Flash 98.3%
- 15
Seed2.0 Pro 98.3%
- 16 gpt-oss-120b 97.9%
- 17
MAI-Thinking-1 97%
- 18 GLM-5 96.7%
- 19 Claude Haiku 4.5 96.3%
- 20
Trinity Large Thinking 96.3%
- 21 Kimi K2.5 96.1%
- 22
DeepSeek-V3.2-Speciale 96%
- 23 GLM-4.7 95.7%
- 24 Claude Sonnet 4.6 95.6%
- 25 Kimi K2 Thinking 94.5%
- 26
Seed1.8 94.3%
- 27 GPT-5.1 high 94.2%
- 28
DeepSeek-V3.2 thinking 94.2%
- 29 MiMo-V2-Flash 94.1%
- 30
MiniMax-M2.7 94%
- 31 GLM-4.6 93.9%
- 32
Ring-1T 93.4%
- 33 GLM-4.5 93.3%
- 34 Grok 3 93.3%
- 35
Intern-S1-Pro 93.1%
- 36
EXAONE 4.5 33B 92.9%
- 37
K-EXAONE 92.8%
- 38 Claude Opus 4.5 92.8%
- 39 o4-mini 92.7%
- 40
Nemotron-Cascade 2 30B-A3B 92.4%
- 41
Qwen3-235B-A22B-Thinking Jul 2025 92.3%
- 42
Nova 2.0 Pro Preview 92.3%
- 43
Nova 2 Omni Preview 92.1%
- 44 Grok 4 Fast 92%
- 45
DeepSeek-V3.2-Exp thinking 91.7%
- 46 glm-4.7-flash 91.6%
- 47 GPT-5 mini 91.1%
- 48
Nova 2 Lite 91%
- 49
DeepSeek-V3.1 thinking 90.8%
- 50 Grok-3 mini 90.8%
- 51
LongCat-Flash-Thinking 90.6%
- 52
Nemotron 3 Super 90.2%
- 53 Claude Opus 4 90%
- 54
Command A+ 90%
- 55
Qwen3-VL-235B-A22B 89.7%
- 56
Cogito v2.1 89.5%
- 57 o3 high 89.2%
- 58
DeepSeek-R1 May 2025 89.2%
- 59 Grok 4.1 Fast reasoning 89.2%
- 60 Granite 4.2 30B 89.2%
- 61
Nemotron 3 Nano 30B-A3B 89.1%
- 62
ERNIE 5.0 89.1%
- 63
Gemini 2.5 Pro Mar 2025 88.3%
- 64 Sarvam 105B 88.3%
- 65
Gemini 2.5 Pro Jun 2025 88%
- 66 INTELLECT-3 88%
- 67
Qwen3-Next-80B-A3B 87.8%
- 68
STEP3-VL-10B 87.7%
- 69
Keye-VL-2.0-30B-A3B 86.7%
- 70 o3-mini high 86.7%
- 71
Falcon H1R 7B 86.7%
- 72
MiniMax-M2.5 86.3%
- 73
Mistral Medium 3.5 86.3%
- 74
Seed1.6-Thinking 86%
- 75
Intern-S1 86%
- 76
EXAONE 4.0 32B 85.3%
- 77 GPT-5 nano 85.2%
- 78 Claude Sonnet 4 85%
- 79
Ministral 3 14B 85%
- 80
seed-oss-36b-instruct 84.7%
- 81
Solar Open 100B 84.3%
- 82
Mistral Small 4 83.8%
- 83
Magistral Medium 1.2 83.5%
- 84
Gemini 2.5 Pro May 2025 83.3%
- 85 GLM-4.5-Air 83.3%
- 86
K2-Think 83.3%
- 87
Magistral Medium 1.0 83.3%
- 88
Qwen3-Coder-Next 83.1%
- 89
MiniMax-M2.1 83%
- 90
Step 3 82.9%
- 91
Llama-3.3-Nemotron-Super-49B-v1.5 82.7%
- 92
Nemotron 3 Nano Omni 30B-A3B 82.1%
- 93 o1 medium 81.7%
- 94
Qwen3-235B-A22B 81.5%
- 95 GPT-5.5 Instant 81.2%
- 96
Solar Pro 3 80.3%
- 97 Sarvam 30B 80%
- 98
Nemotron 3 Nano 4B 78.5%
- 99 Hermes 4 405B 78.1%
- 100
Olmo 3.1 32B Think 78.1%
- 101
ERNIE-4.5-21B-A3B-Thinking 78%
- 102
Gemini 2.5 Flash Apr 2025 78%
- 103
Phi-4-Reasoning-plus 78%
- 104 Claude Opus 4.1 78%
- 105
MiniMax-M2 78%
- 106
QED-Nano 77.5%
- 107
Magistral Small 1.2 77.3%
- 108
MiniMax-M1-80k 76.9%
- 109
Hunyuan-A13B-Instruct 76.8%
- 110
InternVL3.5-241B-A28B 75.6%
- 111
Gemini 2.5 Flash Sep 2025 75.6%
- 112
Seed-Thinking-v1.5 74%
- 113
Qwen3-32B 72.9%
- 114
Baichuan-M2-32B 72.9%
- 115
Llama-3.1-Nemotron-Ultra-253B-v1 72.5%
- 116
Olmo 3 32B Think 72.5%
- 117 nvidia-nemotron-nano-9b-v2 72.1%
- 118
Gemini 2.5 Flash Jun 2025 72%
- 119
Nemotron Nano 12B v2 VL 71.3%
- 120
Qwen3-30B-A3B 70.9%
- 121
Qwen3-14B 70.4%
- 122
DeepSeek-R1 70%
- 123 Hermes 4.3 36B 69.3%
- 124
Solar Pro 2 69.1%
- 125
Code World Model (CWM) 68.2%
- 126
Qwen3-8B 67.3%
- 127
QwQ-32B 65.8%
- 128
EXAONE Deep 32B 65.8%
- 129
Qwen3-4B 65.6%
- 130
Qwen3-Omni-30B-A3B 65%
- 131 INTELLECT-2 64.9%
- 132 GLM-Z1-32B-0414 63.6%
- 133
Phi-4-reasoning 63.1%
- 134
Gemini 2.5 Flash-Lite Jun 2025 63.1%
- 135
Magistral Small 1.0 62.8%
- 136
Magistral Small 1.1 62%
- 137
LongCat-Flash-Chat 61.3%
- 138
Magistral Medium 1.1 61%
- 139
DeepSeek-R1-Distill-Qwen-32B 60%
- 140
Llama-3.3-Nemotron-Super-49B-v1 60%
- 141 MiMo-7B-RL 55.4%
- 142
DeepSeek-R1-Distill-Llama-70B 55%
- 143
Gemini 2.0 Flash Thinking Jan 2025 53.3%
- 144 LFM2.5-2.6B 51.9%
- 145 Reka Flash 3 50%
- 146
DeepSeek-V3 Mar 2025 50%
- 147 Kimi K2 Jul 2025 49.5%
- 148
DeepSeek-R1-Distill-Qwen-14B 49.2%
- 149 Claude 3.7 Sonnet thinking 49.2%
- 150
Gemini 2.5 Flash-Lite Sep 2025 48.2%
- 151 LFM2.5-8B-A1B 42.5%
- 152
Qwen3-1.7B 36.8%
- 153
ERNIE-4.5-300B-A47B 35.1%
- 154
Phi-4-mini-flash-reasoning 33.6%
- 155
QwQ-32B-Preview 33.3%
- 156 LFM2.5-1.2B-Thinking 31.7%
- 157
Gemini 2.0 Flash Feb 2025 27.5%
- 158
Gemini 2.0 Pro 27.5%
- 159
Trinity Large Preview 24.4%
- 160
DeepSeek-R1-Distill-Qwen-1.5B 20%
- 161
Falcon-H1-34B 16.7%
- 162
Amazon Nova Premier 16%
- 163 LFM2.5-1.2B-Instruct 14%
- 164 GPT-4o Mar 2025 11.7%
- 165
Gemma 3n E4B 11.6%
- 166 Claude 3.5 Sonnet 3.33%
Sources: Labs’ model cards and MathArena’s leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Grok 4 Heavy | 100% | Jul 2025 | Lab model card | |
| 2 | GPT-5 | 100% | Aug 2025 | Lab model card | |
| 3 | | 100% | Sep 2025 | Lab model card | |
| 4 | Claude Sonnet 4.5 | 100% | Sep 2025 | Lab model card | |
| 5 | | 100% | Nov 2025 | Lab model card | |
| 6 | GPT-5.2 | 100% | Dec 2025 | Lab model card | |
| 7 | GPT-5.2 Pro | 100% | Dec 2025 | Lab model card | |
| 8 | | 100% | Jan 2026 | Lab model card | |
| 9 | Claude Opus 4.6 | 99.8% | Feb 2026 | Lab model card | |
| 10 | | 99.7% | Dec 2025 | Lab model card | |
| 11 | | 99.2% | Aug 2025 | Lab model card | |
| 12 | Grok 4 | 98.8% | Jul 2025 | Lab model card | |
| 13 | gpt-oss-20b | 98.7% | Aug 2025 | Lab model card | |
| 14 | | 98.3% | Feb 2026 | Lab model card | |
| 15 | gpt-oss-120b | 97.9% | Aug 2025 | Lab model card | |
| 16 | | 97.3% | Feb 2026 | Lab model card | |
| 17 | | 97% | Jun 2026 | Lab model card | |
| 18 | Claude Haiku 4.5 | 96.3% | Oct 2025 | Lab model card | |
| 19 | | 96.3% | Apr 2026 | Lab model card | |
| 20 | Kimi K2.5 | 96.1% | Jan 2026 | Lab model card | |
| 21 | | 96% | Dec 2025 | Lab model card | |
| 22 | GLM-4.7 | 95.7% | Dec 2025 | Lab model card | |
| 23 | Claude Sonnet 4.6 | 95.6% | Feb 2026 | Lab model card | |
| 24 | Kimi K2 Thinking | 94.5% | Nov 2025 | Lab model card | |
| 25 | | 94.3% | Dec 2025 | Lab model card | |
| 26 | MiMo-V2-Flash | 94.1% | Dec 2025 | Lab model card | |
| 27 | GPT-5.1 | 94% | Nov 2025 | Lab model card | |
| 28 | | 94% | May 2026 | Lab model card | |
| 29 | GLM-4.6 | 93.9% | Sep 2025 | Lab model card | |
| 30 | | 93.4% | Oct 2025 | Lab model card | |
| 31 | Grok 3 | 93.3% | Feb 2025 | Lab model card | |
| 32 | | 93.1% | Dec 2025 | Lab model card | |
| 33 | | 93.1% | Feb 2026 | Lab model card | |
| 34 | | 92.9% | Apr 2026 | Lab model card | |
| 35 | | 92.8% | Dec 2025 | Lab model card | |
| 36 | Claude Opus 4.5 | 92.8% | Nov 2025 | Lab model card | |
| 37 | o4-mini | 92.7% | Apr 2025 | Lab model card | |
| 38 | | 92.4% | Mar 2026 | Lab model card | |
| 39 | | 92.3% | Jul 2025 | Lab model card | |
| 40 | | 92.3% | Dec 2025 | Lab model card | |
| 41 | | 92.1% | Dec 2025 | Lab model card | |
| 42 | Grok 4 Fast | 92% | Sep 2025 | Lab model card | |
| 43 | glm-4.7-flash | 91.6% | Jan 2026 | Lab model card | |
| 44 | GPT-5 mini | 91.1% | Aug 2025 | Lab model card | |
| 45 | | 91% | Dec 2025 | Lab model card | |
| 46 | Grok-3 mini | 90.8% | Feb 2025 | Lab model card | |
| 47 | | 90.6% | Sep 2025 | Lab model card | |
| 48 | | 90.2% | Mar 2026 | Lab model card | |
| 49 | Claude Opus 4 | 90% | May 2025 | Lab model card | |
| 50 | | 90% | May 2026 | Lab model card | |
| 51 | | 89.7% | Sep 2025 | Lab model card | |
| 52 | | 89.5% | Nov 2025 | Lab model card | |
| 53 | | 89.3% | Sep 2025 | Lab model card | |
| 54 | Granite 4.2 30B | 89.2% | Aug 2026 | Lab model card | |
| 55 | | 89.1% | Dec 2025 | Lab model card | |
| 56 | | 89.1% | Feb 2026 | Lab model card | |
| 57 | o3 | 88.9% | Apr 2025 | Lab model card | |
| 58 | | 88.4% | Aug 2025 | Lab model card | |
| 59 | Sarvam 105B | 88.3% | Mar 2026 | Lab model card | |
| 60 | | 88% | Jun 2025 | Lab model card | |
| 61 | INTELLECT-3 | 88% | Nov 2025 | Lab model card | |
| 62 | | 87.8% | Sep 2025 | Lab model card | |
| 63 | | 87.7% | Jan 2026 | Lab model card | |
| 64 | | 87.5% | May 2025 | Lab model card | |
| 65 | | 86.7% | Mar 2025 | Lab model card | |
| 66 | | 86.7% | May 2026 | Lab model card | |
| 67 | | 86.3% | Feb 2026 | Lab model card | |
| 68 | | 86.3% | May 2026 | Lab model card | |
| 69 | | 86% | Jun 2025 | Lab model card | |
| 70 | | 86% | Jul 2025 | Lab model card | |
| 71 | | 85.3% | Jul 2025 | Lab model card | |
| 72 | GPT-5 nano | 85.2% | Aug 2025 | Lab model card | |
| 73 | Claude Sonnet 4 | 85% | May 2025 | Lab model card | |
| 74 | | 85% | Dec 2025 | Lab model card | |
| 75 | | 84.7% | Aug 2025 | Lab model card | |
| 76 | | 84.3% | Dec 2025 | Lab model card | |
| 77 | | 83.8% | Mar 2026 | Lab model card | |
| 78 | | 83.5% | Sep 2025 | Lab model card | |
| 79 | | 83.3% | Jun 2025 | Lab model card | |
| 80 | | 83.1% | Jan 2026 | Lab model card | |
| 81 | | 83.1% | Feb 2026 | Lab model card | |
| 82 | | 83% | Dec 2025 | Lab model card | |
| 83 | | 82.9% | Jul 2025 | Lab model card | |
| 84 | | 82.7% | Jul 2025 | Lab model card | |
| 85 | | 82.1% | Apr 2026 | Lab model card | |
| 86 | | 81.5% | Apr 2025 | Lab model card | |
| 87 | GPT-5.5 Instant | 81.2% | May 2026 | Lab model card | |
| 88 | | 80.3% | Jan 2026 | Lab model card | |
| 89 | Sarvam 30B | 80% | Mar 2026 | Lab model card | |
| 90 | | 78.5% | Mar 2026 | Lab model card | |
| 91 | Hermes 4 405B | 78.1% | Aug 2025 | Lab model card | |
| 92 | | 78.1% | Dec 2025 | Lab model card | |
| 93 | | 78% | Sep 2025 | Lab model card | |
| 94 | | 78% | Apr 2025 | Lab model card | |
| 95 | | 78% | Apr 2025 | Lab model card | |
| 96 | Claude Opus 4.1 | 78% | Aug 2025 | Lab model card | |
| 97 | | 78% | Oct 2025 | Lab model card | |
| 98 | | 77.3% | Sep 2025 | Lab model card | |
| 99 | | 76.9% | Jun 2025 | Lab model card | |
| 100 | | 76.8% | Jun 2025 | Lab model card | |
| 101 | | 75.6% | Aug 2025 | Lab model card | |
| 102 | | 75.6% | Sep 2025 | Lab model card | |
| 103 | | 74% | Apr 2025 | Lab model card | |
| 104 | | 72.9% | May 2025 | Lab model card | |
| 105 | | 72.9% | Aug 2025 | Lab model card | |
| 106 | | 72.5% | Apr 2025 | Lab model card | |
| 107 | | 72.5% | Nov 2025 | Lab model card | |
| 108 | nvidia-nemotron-nano-9b-v2 | 72.1% | Aug 2025 | Lab model card | |
| 109 | | 72% | Jun 2025 | Lab model card | |
| 110 | | 71.3% | Nov 2025 | Lab model card | |
| 111 | | 70.9% | May 2025 | Lab model card | |
| 112 | | 70.4% | May 2025 | Lab model card | |
| 113 | Hermes 4.3 36B | 69.3% | Dec 2025 | Lab model card | |
| 114 | | 69.1% | Jul 2025 | Lab model card | |
| 115 | | 68.2% | Sep 2025 | Lab model card | |
| 116 | | 67.3% | May 2025 | Lab model card | |
| 117 | | 65.8% | Mar 2025 | Lab model card | |
| 118 | | 65.6% | May 2025 | Lab model card | |
| 119 | | 65% | Sep 2025 | Lab model card | |
| 120 | INTELLECT-2 | 64.9% | May 2025 | Lab model card | |
| 121 | GLM-Z1-32B-0414 | 63.6% | Apr 2025 | Lab model card | |
| 122 | | 63.1% | Apr 2025 | Lab model card | |
| 123 | | 63.1% | Jun 2025 | Lab model card | |
| 124 | | 62.8% | Jun 2025 | Lab model card | |
| 125 | | 62% | Jul 2025 | Lab model card | |
| 126 | | 61.3% | Aug 2025 | Lab model card | |
| 127 | | 61% | Jul 2025 | Lab model card | |
| 128 | | 60% | May 2025 | Lab model card | |
| 129 | MiMo-7B-RL | 55.4% | Apr 2025 | Lab model card | |
| 130 | LFM2.5-2.6B | 51.9% | Aug 2026 | Lab model card | |
| 131 | Reka Flash 3 | 50% | Mar 2025 | Lab model card | |
| 132 | Kimi K2 Jul 2025 | 49.5% | Jul 2025 | Lab model card | |
| 133 | | 48.2% | Sep 2025 | Lab model card | |
| 134 | LFM2.5-8B-A1B | 42.5% | May 2026 | Lab model card | |
| 135 | | 36.8% | May 2025 | Lab model card | |
| 136 | | 35.1% | Jun 2025 | Lab model card | |
| 137 | | 33.6% | Jul 2025 | Lab model card | |
| 138 | LFM2.5-1.2B-Thinking | 31.7% | Jan 2026 | Lab model card | |
| 139 | | 24.4% | Feb 2026 | Lab model card | |
| 140 | | 16.7% | May 2025 | Lab model card | |
| 141 | | 16% | Apr 2025 | Lab model card | |
| 142 | LFM2.5-1.2B-Instruct | 14% | Jan 2026 | Lab model card | |
| 143 | | 11.6% | Jun 2025 | Lab model card |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-5.2 | 100% | high | Dec 2025 | Official leaderboard |
| 2 | | 98.3% | Feb 2026 | Official leaderboard | |
| 3 | | 97.5% | high | Dec 2025 | Official leaderboard |
| 4 | GLM-5 | 96.7% | Feb 2026 | Official leaderboard | |
| 5 | | 95.8% | Dec 2025 | Official leaderboard | |
| 6 | Kimi K2.5 | 95.8% | high | Jan 2026 | Official leaderboard |
| 7 | GPT-5 | 95% | high | Aug 2025 | Official leaderboard |
| 8 | | 95% | Nov 2025 | Official leaderboard | |
| 9 | GPT-5.1 | 94.2% | high | Nov 2025 | Official leaderboard |
| 10 | | 94.2% | thinking | Dec 2025 | Official leaderboard |
| 11 | GLM-4.5 | 93.3% | Aug 2025 | Official leaderboard | |
| 12 | Grok 4 | 92.5% | Jul 2025 | Official leaderboard | |
| 13 | Kimi K2 Thinking | 92.5% | Nov 2025 | Official leaderboard | |
| 14 | o4-mini | 91.7% | high | Apr 2025 | Official leaderboard |
| 15 | | 91.7% | thinking | Sep 2025 | Official leaderboard |
| 16 | GLM-4.6 | 91.7% | Sep 2025 | Official leaderboard | |
| 17 | | 90.8% | thinking | Aug 2025 | Official leaderboard |
| 18 | Grok 4 Fast | 90.8% | Sep 2025 | Official leaderboard | |
| 19 | gpt-oss-120b | 90% | high | Aug 2025 | Official leaderboard |
| 20 | o3 | 89.2% | high | Apr 2025 | Official leaderboard |
| 21 | | 89.2% | May 2025 | Official leaderboard | |
| 22 | gpt-oss-20b | 89.2% | high | Aug 2025 | Official leaderboard |
| 23 | Grok 4.1 Fast | 89.2% | reasoning | Nov 2025 | Official leaderboard |
| 24 | | 88.3% | Mar 2025 | Official leaderboard | |
| 25 | GPT-5 mini | 87.5% | high | Aug 2025 | Official leaderboard |
| 26 | o3-mini | 86.7% | high | Jan 2025 | Official leaderboard |
| 27 | | 86.7% | Jan 2026 | Official leaderboard | |
| 28 | GPT-5 nano | 85% | high | Aug 2025 | Official leaderboard |
| 29 | Claude Sonnet 4.5 | 84.2% | thinking | Sep 2025 | Official leaderboard |
| 30 | | 83.3% | May 2025 | Official leaderboard | |
| 31 | GLM-4.5-Air | 83.3% | Jul 2025 | Official leaderboard | |
| 32 | | 83.3% | Sep 2025 | Official leaderboard | |
| 33 | o1 | 81.7% | medium | Dec 2024 | Official leaderboard |
| 34 | Grok-3 mini | 81.7% | high | Apr 2025 | Official leaderboard |
| 35 | | 80.8% | Apr 2025 | Official leaderboard | |
| 36 | | 77.5% | Feb 2026 | Official leaderboard | |
| 37 | | 70.8% | thinking | Sep 2025 | Official leaderboard |
| 38 | | 70% | Jan 2025 | Official leaderboard | |
| 39 | | 70% | Apr 2025 | Official leaderboard | |
| 40 | Claude Opus 4 | 70% | thinking | May 2025 | Official leaderboard |
| 41 | | 65.8% | Mar 2025 | Official leaderboard | |
| 42 | | 60% | Jan 2025 | Official leaderboard | |
| 43 | | 55% | Jan 2025 | Official leaderboard | |
| 44 | | 53.3% | Jan 2025 | Official leaderboard | |
| 45 | | 50% | Mar 2025 | Official leaderboard | |
| 46 | | 49.2% | Jan 2025 | Official leaderboard | |
| 47 | Claude 3.7 Sonnet | 49.2% | thinking | Feb 2025 | Official leaderboard |
| 48 | | 33.3% | Nov 2024 | Official leaderboard | |
| 49 | | 27.5% | Feb 2025 | Official leaderboard | |
| 50 | | 27.5% | Feb 2025 | Official leaderboard | |
| 51 | | 20% | Jan 2025 | Official leaderboard | |
| 52 | GPT-4o Mar 2025 | 11.7% | Mar 2025 | Official leaderboard | |
| 53 | Claude 3.5 Sonnet | 3.33% | Jun 2024 | Official leaderboard |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Grok 4 Heavy | 100% | Jul 2025 | Lab model card | |
| 2 | GPT-5 | 100% | Aug 2025 | Lab model card | |
| 3 | | 100% | Sep 2025 | Lab model card | |
| 4 | Claude Sonnet 4.5 | 100% | Sep 2025 | Lab model card | |
| 5 | | 100% | Nov 2025 | Lab model card | |
| 6 | GPT-5.2 | 100% | high | Dec 2025 | Official leaderboard |
| 7 | GPT-5.2 Pro | 100% | Dec 2025 | Lab model card | |
| 8 | | 100% | Jan 2026 | Lab model card | |
| 9 | Claude Opus 4.6 | 99.8% | Feb 2026 | Lab model card | |
| 10 | | 99.7% | Dec 2025 | Lab model card | |
| 11 | | 99.2% | Aug 2025 | Lab model card | |
| 12 | Grok 4 | 98.8% | Jul 2025 | Lab model card | |
| 13 | gpt-oss-20b | 98.7% | Aug 2025 | Lab model card | |
| 14 | | 98.3% | Feb 2026 | Official leaderboard | |
| 15 | | 98.3% | Feb 2026 | Lab model card | |
| 16 | gpt-oss-120b | 97.9% | Aug 2025 | Lab model card | |
| 17 | | 97% | Jun 2026 | Lab model card | |
| 18 | GLM-5 | 96.7% | Feb 2026 | Official leaderboard | |
| 19 | Claude Haiku 4.5 | 96.3% | Oct 2025 | Lab model card | |
| 20 | | 96.3% | Apr 2026 | Lab model card | |
| 21 | Kimi K2.5 | 96.1% | Jan 2026 | Lab model card | |
| 22 | | 96% | Dec 2025 | Lab model card | |
| 23 | GLM-4.7 | 95.7% | Dec 2025 | Lab model card | |
| 24 | Claude Sonnet 4.6 | 95.6% | Feb 2026 | Lab model card | |
| 25 | Kimi K2 Thinking | 94.5% | Nov 2025 | Lab model card | |
| 26 | | 94.3% | Dec 2025 | Lab model card | |
| 27 | GPT-5.1 | 94.2% | high | Nov 2025 | Official leaderboard |
| 28 | | 94.2% | thinking | Dec 2025 | Official leaderboard |
| 29 | MiMo-V2-Flash | 94.1% | Dec 2025 | Lab model card | |
| 30 | | 94% | May 2026 | Lab model card | |
| 31 | GLM-4.6 | 93.9% | Sep 2025 | Lab model card | |
| 32 | | 93.4% | Oct 2025 | Lab model card | |
| 33 | GLM-4.5 | 93.3% | Aug 2025 | Official leaderboard | |
| 34 | Grok 3 | 93.3% | Feb 2025 | Lab model card | |
| 35 | | 93.1% | Feb 2026 | Lab model card | |
| 36 | | 92.9% | Apr 2026 | Lab model card | |
| 37 | | 92.8% | Dec 2025 | Lab model card | |
| 38 | Claude Opus 4.5 | 92.8% | Nov 2025 | Lab model card | |
| 39 | o4-mini | 92.7% | Apr 2025 | Lab model card | |
| 40 | | 92.4% | Mar 2026 | Lab model card | |
| 41 | | 92.3% | Jul 2025 | Lab model card | |
| 42 | | 92.3% | Dec 2025 | Lab model card | |
| 43 | | 92.1% | Dec 2025 | Lab model card | |
| 44 | Grok 4 Fast | 92% | Sep 2025 | Lab model card | |
| 45 | | 91.7% | thinking | Sep 2025 | Official leaderboard |
| 46 | glm-4.7-flash | 91.6% | Jan 2026 | Lab model card | |
| 47 | GPT-5 mini | 91.1% | Aug 2025 | Lab model card | |
| 48 | | 91% | Dec 2025 | Lab model card | |
| 49 | | 90.8% | thinking | Aug 2025 | Official leaderboard |
| 50 | Grok-3 mini | 90.8% | Feb 2025 | Lab model card | |
| 51 | | 90.6% | Sep 2025 | Lab model card | |
| 52 | | 90.2% | Mar 2026 | Lab model card | |
| 53 | Claude Opus 4 | 90% | May 2025 | Lab model card | |
| 54 | | 90% | May 2026 | Lab model card | |
| 55 | | 89.7% | Sep 2025 | Lab model card | |
| 56 | | 89.5% | Nov 2025 | Lab model card | |
| 57 | o3 | 89.2% | high | Apr 2025 | Official leaderboard |
| 58 | | 89.2% | May 2025 | Official leaderboard | |
| 59 | Grok 4.1 Fast | 89.2% | reasoning | Nov 2025 | Official leaderboard |
| 60 | Granite 4.2 30B | 89.2% | Aug 2026 | Lab model card | |
| 61 | | 89.1% | Dec 2025 | Lab model card | |
| 62 | | 89.1% | Feb 2026 | Lab model card | |
| 63 | | 88.3% | Mar 2025 | Official leaderboard | |
| 64 | Sarvam 105B | 88.3% | Mar 2026 | Lab model card | |
| 65 | | 88% | Jun 2025 | Lab model card | |
| 66 | INTELLECT-3 | 88% | Nov 2025 | Lab model card | |
| 67 | | 87.8% | Sep 2025 | Lab model card | |
| 68 | | 87.7% | Jan 2026 | Lab model card | |
| 69 | | 86.7% | May 2026 | Lab model card | |
| 70 | o3-mini | 86.7% | high | Jan 2025 | Official leaderboard |
| 71 | | 86.7% | Jan 2026 | Official leaderboard | |
| 72 | | 86.3% | Feb 2026 | Lab model card | |
| 73 | | 86.3% | May 2026 | Lab model card | |
| 74 | | 86% | Jun 2025 | Lab model card | |
| 75 | | 86% | Jul 2025 | Lab model card | |
| 76 | | 85.3% | Jul 2025 | Lab model card | |
| 77 | GPT-5 nano | 85.2% | Aug 2025 | Lab model card | |
| 78 | Claude Sonnet 4 | 85% | May 2025 | Lab model card | |
| 79 | | 85% | Dec 2025 | Lab model card | |
| 80 | | 84.7% | Aug 2025 | Lab model card | |
| 81 | | 84.3% | Dec 2025 | Lab model card | |
| 82 | | 83.8% | Mar 2026 | Lab model card | |
| 83 | | 83.5% | Sep 2025 | Lab model card | |
| 84 | | 83.3% | May 2025 | Official leaderboard | |
| 85 | GLM-4.5-Air | 83.3% | Jul 2025 | Official leaderboard | |
| 86 | | 83.3% | Sep 2025 | Official leaderboard | |
| 87 | | 83.3% | Jun 2025 | Lab model card | |
| 88 | | 83.1% | Feb 2026 | Lab model card | |
| 89 | | 83% | Dec 2025 | Lab model card | |
| 90 | | 82.9% | Jul 2025 | Lab model card | |
| 91 | | 82.7% | Jul 2025 | Lab model card | |
| 92 | | 82.1% | Apr 2026 | Lab model card | |
| 93 | o1 | 81.7% | medium | Dec 2024 | Official leaderboard |
| 94 | | 81.5% | Apr 2025 | Lab model card | |
| 95 | GPT-5.5 Instant | 81.2% | May 2026 | Lab model card | |
| 96 | | 80.3% | Jan 2026 | Lab model card | |
| 97 | Sarvam 30B | 80% | Mar 2026 | Lab model card | |
| 98 | | 78.5% | Mar 2026 | Lab model card | |
| 99 | Hermes 4 405B | 78.1% | Aug 2025 | Lab model card | |
| 100 | | 78.1% | Dec 2025 | Lab model card | |
| 101 | | 78% | Sep 2025 | Lab model card | |
| 102 | | 78% | Apr 2025 | Lab model card | |
| 103 | | 78% | Apr 2025 | Lab model card | |
| 104 | Claude Opus 4.1 | 78% | Aug 2025 | Lab model card | |
| 105 | | 78% | Oct 2025 | Lab model card | |
| 106 | | 77.5% | Feb 2026 | Official leaderboard | |
| 107 | | 77.3% | Sep 2025 | Lab model card | |
| 108 | | 76.9% | Jun 2025 | Lab model card | |
| 109 | | 76.8% | Jun 2025 | Lab model card | |
| 110 | | 75.6% | Aug 2025 | Lab model card | |
| 111 | | 75.6% | Sep 2025 | Lab model card | |
| 112 | | 74% | Apr 2025 | Lab model card | |
| 113 | | 72.9% | May 2025 | Lab model card | |
| 114 | | 72.9% | Aug 2025 | Lab model card | |
| 115 | | 72.5% | Apr 2025 | Lab model card | |
| 116 | | 72.5% | Nov 2025 | Lab model card | |
| 117 | nvidia-nemotron-nano-9b-v2 | 72.1% | Aug 2025 | Lab model card | |
| 118 | | 72% | Jun 2025 | Lab model card | |
| 119 | | 71.3% | Nov 2025 | Lab model card | |
| 120 | | 70.9% | May 2025 | Lab model card | |
| 121 | | 70.4% | May 2025 | Lab model card | |
| 122 | | 70% | Jan 2025 | Official leaderboard | |
| 123 | Hermes 4.3 36B | 69.3% | Dec 2025 | Lab model card | |
| 124 | | 69.1% | Jul 2025 | Lab model card | |
| 125 | | 68.2% | Sep 2025 | Lab model card | |
| 126 | | 67.3% | May 2025 | Lab model card | |
| 127 | | 65.8% | Mar 2025 | Official leaderboard | |
| 128 | | 65.8% | Mar 2025 | Lab model card | |
| 129 | | 65.6% | May 2025 | Lab model card | |
| 130 | | 65% | Sep 2025 | Lab model card | |
| 131 | INTELLECT-2 | 64.9% | May 2025 | Lab model card | |
| 132 | GLM-Z1-32B-0414 | 63.6% | Apr 2025 | Lab model card | |
| 133 | | 63.1% | Apr 2025 | Lab model card | |
| 134 | | 63.1% | Jun 2025 | Lab model card | |
| 135 | | 62.8% | Jun 2025 | Lab model card | |
| 136 | | 62% | Jul 2025 | Lab model card | |
| 137 | | 61.3% | Aug 2025 | Lab model card | |
| 138 | | 61% | Jul 2025 | Lab model card | |
| 139 | | 60% | Jan 2025 | Official leaderboard | |
| 140 | | 60% | May 2025 | Lab model card | |
| 141 | MiMo-7B-RL | 55.4% | Apr 2025 | Lab model card | |
| 142 | | 55% | Jan 2025 | Official leaderboard | |
| 143 | | 53.3% | Jan 2025 | Official leaderboard | |
| 144 | LFM2.5-2.6B | 51.9% | Aug 2026 | Lab model card | |
| 145 | Reka Flash 3 | 50% | Mar 2025 | Lab model card | |
| 146 | | 50% | Mar 2025 | Official leaderboard | |
| 147 | Kimi K2 Jul 2025 | 49.5% | Jul 2025 | Lab model card | |
| 148 | | 49.2% | Jan 2025 | Official leaderboard | |
| 149 | Claude 3.7 Sonnet | 49.2% | thinking | Feb 2025 | Official leaderboard |
| 150 | | 48.2% | Sep 2025 | Lab model card | |
| 151 | LFM2.5-8B-A1B | 42.5% | May 2026 | Lab model card | |
| 152 | | 36.8% | May 2025 | Lab model card | |
| 153 | | 35.1% | Jun 2025 | Lab model card | |
| 154 | | 33.6% | Jul 2025 | Lab model card | |
| 155 | | 33.3% | Nov 2024 | Official leaderboard | |
| 156 | LFM2.5-1.2B-Thinking | 31.7% | Jan 2026 | Lab model card | |
| 157 | | 27.5% | Feb 2025 | Official leaderboard | |
| 158 | | 27.5% | Feb 2025 | Official leaderboard | |
| 159 | | 24.4% | Feb 2026 | Lab model card | |
| 160 | | 20% | Jan 2025 | Official leaderboard | |
| 161 | | 16.7% | May 2025 | Lab model card | |
| 162 | | 16% | Apr 2025 | Lab model card | |
| 163 | LFM2.5-1.2B-Instruct | 14% | Jan 2026 | Lab model card | |
| 164 | GPT-4o Mar 2025 | 11.7% | Mar 2025 | Official leaderboard | |
| 165 | | 11.6% | Jun 2025 | Lab model card | |
| 166 | Claude 3.5 Sonnet | 3.33% | Jun 2024 | Official leaderboard |
MathArena’s leaderboard has 53 models. Switch the scores above to rank them together.
The best score, 100%, costs $0.11 a task
Runs on the cost frontier score higher than any run that's cheaper. DeepSeek-V3.2-Speciale comes within 4.2 points of the best for $0.009 a task, 12 times cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
Source: MathArena’s leaderboard
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| GPT-5.2 | high | 100% | $0.11 | 7,758 | |
| GPT-5.2 | xhigh | 100% | $0.18 | 12,811 | |
| | 98.3% | $0.01 | 37,760 | ||
| | high | 97.5% | $0.06 | 18,430 | |
| GLM-5 | 96.7% | $0.08 | 25,259 | ||
| | 95.8% | $0.009 | 21,957 | ||
| Kimi K2.5 | high | 95.8% | $0.07 | 22,716 | |
| GPT-5 | high | 95% | $0.14 | 13,475 | |
| | 95% | $0.18 | 14,799 | ||
| GPT-5.1 | high | 94.2% | $0.18 | 17,912 | |
| | thinking | 94.2% | $0.006 | 14,908 | |
| GLM-4.5 | 93.3% | $0.05 | 21,965 | ||
| Grok 4 | 92.5% | $0.19 | 12,873 | ||
| Kimi K2 Thinking | 92.5% | $0.06 | 24,036 | ||
| o4-mini | high | 91.7% | $0.06 | 13,982 | |
| | thinking | 91.7% | $0.006 | 14,024 | |
| GLM-4.6 | 91.7% | $0.04 | 16,491 | ||
| | thinking | 90.8% | $0.03 | 14,961 | |
| Grok 4 Fast | 90.8% | $0.005 | 9,160 | ||
| gpt-oss-120b | high | 90% | $0.01 | 21,204 | |
| o3 | high | 89.2% | $0.10 | 11,885 | |
| | 89.2% | $0.05 | 21,923 | ||
| gpt-oss-20b | high | 89.2% | $0.008 | 40,223 | |
| Grok 4.1 Fast | reasoning | 89.2% | $0.005 | 10,009 | |
| | 88.3% | $0.13 | 13,397 | ||
| GPT-5 mini | high | 87.5% | $0.03 | 16,431 | |
| o3-mini | high | 86.7% | $0.05 | 11,392 | |
| | 86.7% | $0.004 | 17,859 | ||
| GPT-5 nano | high | 85% | $0.01 | 27,091 | |
| o4-mini | medium | 84.2% | $0.03 | 6,221 | |
| Claude Sonnet 4.5 | thinking | 84.2% | $0.26 | 17,251 | |
| | 83.3% | 4,369 | |||
| GLM-4.5-Air | 83.3% | $0.03 | 24,021 | ||
| | 83.3% | ||||
| o1 | medium | 81.7% | $0.71 | 11,813 | |
| Grok-3 mini | high | 81.7% | $0.009 | 18,460 | |
| | 80.8% | $0.009 | 14,907 | ||
| | 77.5% | 39,431 | |||
| o3-mini | medium | 76.7% | $0.03 | 6,182 | |
| | thinking | 70.8% | $0.08 | 23,871 | |
| | 70% | $0.03 | 11,211 | ||
| | 70% | $0.005 | 17,970 | ||
| Claude Opus 4 | thinking | 70% | $1.13 | 15,044 | |
| | 65.8% | $0.02 | 16,133 | ||
| Grok-3 mini | low | 65% | $0.003 | 5,707 | |
| o4-mini | low | 61.7% | $0.01 | 2,605 | |
| | 60% | $0.008 | 12,749 | ||
| | 55% | $0.006 | 10,488 | ||
| | 53.3% | 569 | |||
| | 50% | $0.004 | 3,440 | ||
| | 49.2% | $0.004 | 12,352 | ||
| Claude 3.7 Sonnet | thinking | 49.2% | $0.37 | 24,602 | |
| o3-mini | low | 48.3% | $0.01 | 2,361 | |
| GPT-5 nano | low | 47.2% | $0.001 | 2,172 | |
| | 33.3% | $0.01 | 8,085 | ||
| | 27.5% | $0.001 | 2,769 | ||
| | 27.5% | $0.01 | 3,037 | ||
| | 25% | $0.003 | 2,471 | ||
| | 20% | $0.003 | 17,102 | ||
| GPT-4o Mar 2025 | 11.7% | $0.009 | 860 | ||
| Claude 3.5 Sonnet | 3.33% | $0.009 | 555 |
2 models have held number one in labs’ own numbers since its release in February 2025 8 models have held number one across all independent runs since its release in February 2025 3 models have held number one with claims included since its release in February 2025
Lab claims count from the day the card came out, independent runs from the model’s release. We draw one row each for MathArena’s leaderboard and what labs claim in their cards.
Sources: MathArena’s leaderboard and labs’ model cards
O3-mini on the official leaderboard passed 85% in January 2025
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: MathArena’s leaderboard and labs’ model cards
3 labs put it in a launch post in the last six months
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Aug 25, 2026 | Granite 4.2 30B | 89.2 | AIME25 |
| Aug 4, 2026 | LFM2.5-2.6B | 51.9 | AIME25 |
| Jun 2, 2026 | 97 | AIME 2025 | |
| May 28, 2026 | LFM2.5-8B-A1B | 42.5 | AIME25 |
| May 25, 2026 | 86.7 | AIME2025 | |
| May 22, 2026 | 86.3 | AIME25 avg@16 | |
| May 20, 2026 | 90 | AIME 25 (pass@1 over 10 repeats) | |
| May 5, 2026 | GPT-5.5 Instant | 81.2 | AIME 2025 (Competition Math) |
| Apr 9, 2026 | 92.9 | AIME 2025 | |
| Apr 1, 2026 | 96.3 | AIME25 | |
| Mar 19, 2026 | 92.4 | AIME 2025 (TIR 98.6) | |
| Mar 16, 2026 | 78.5 | AIME25 (reasoning on) | |
| Mar 16, 2026 | 83.8 | AIME25 [Mistral Small 4 - High] | |
| Mar 11, 2026 | 90.2 | AIME25 (no tools) | |
| Mar 6, 2026 | Sarvam 30B | 80 | AIME 25 (80.0 without tools, 96.7 with tools) |
| Mar 6, 2026 | Sarvam 105B | 88.3 | AIME 25 (88.3 without tools, 96.7 with tools) |
| Feb 14, 2026 | 98.3 | AIME 2025 | |
| Feb 12, 2026 | 86.3 | AIME25 | |
| Feb 6, 2026 | 89.1 | AIME 2025 | |
| Feb 2, 2026 | 93.1 | AIME-2025 | |
| Feb 2, 2026 | 97.3 | AIME 2025 | |
| Jan 27, 2026 | 24 | AIME 2025 | |
| Jan 27, 2026 | Kimi K2.5 | 96.1 | AIME 2025 |
| Jan 26, 2026 | 80.3 | AIME 2025 | |
| Jan 20, 2026 | LFM2.5-1.2B-Thinking | 31.7 | AIME25 (± 1.81) |
| Jan 19, 2026 | glm-4.7-flash | 91.6 | AIME 25 |
| Jan 14, 2026 | 100 | Best of AIME-25 (Avg@16) w/ tools 99.6 / Heavy Thinking 100.0 | |
| Jan 13, 2026 | 87.7 | AIME 2025 (SeRe) | |
| Jan 5, 2026 | 83.1 | AIME-25 | |
| Jan 5, 2026 | LFM2.5-1.2B-Instruct | 14 | AIME25 |
| Dec 31, 2025 | 84.3 | AIME 2025 | |
| Dec 31, 2025 | 92.8 | AIME 2025 | |
| Dec 23, 2025 | 83 | AIME25 | |
| Dec 22, 2025 | GLM-4.7 | 95.7 | AIME 2025 |
| Dec 18, 2025 | 94.3 | AIME-25 | |
| Dec 17, 2025 | 99.7 | AIME 2025, With code execution; No tools = 95.2% | |
| Dec 16, 2025 | MiMo-V2-Flash | 94.1 | AIME 2025 |
| Dec 15, 2025 | 89.1 | AIME25 (no tools) | |
| Dec 12, 2025 | 78.1 | AIME 2025 | |
| Dec 11, 2025 | GPT-5.2 Pro | 100 | AIME 2025 (no tools) |
| Dec 11, 2025 | GPT-5.2 | 100 | AIME 2025 (no tools) Competition math |
| Dec 3, 2025 | Hermes 4.3 36B | 69.3 | AIME 25 |
| Dec 2, 2025 | 85 | AIME25 0.850 (reasoning) | |
| Dec 2, 2025 | 92.1 | AIME 2025 acc | |
| Dec 2, 2025 | 91 | AIME 2025 acc | |
| Dec 2, 2025 | 92.3 | AIME 2025 acc | |
| Dec 1, 2025 | 93.1 | AIME 2025 (Pass@1) | |
| Nov 26, 2025 | INTELLECT-3 | 88 | AIME25 |
| Nov 20, 2025 | 72.5 | AIME 2025 | |
| Nov 19, 2025 | 89.5 | AIME 2025 | |
| Nov 18, 2025 | 100 | AIME 2025, With code execution; No tools = 95.0% | |
| Nov 13, 2025 | GPT-5.1 | 94 | AIME 2025 (no tools) |
| Nov 6, 2025 | Kimi K2 Thinking | 94.5 | AIME25, no tools |
| Oct 27, 2025 | 78 | AIME25 (AA) | |
| Oct 15, 2025 | Claude Haiku 4.5 | 96.3 | High school math competition AIME 2025 (python) |
| Oct 10, 2025 | 93.4 | AIME 25 (pass@1) | |
| Sep 30, 2025 | GLM-4.6 | 93.9 | AIME 25 |
| Sep 29, 2025 | 89.3 | AIME 2025 | |
| Sep 29, 2025 | Claude Sonnet 4.5 | 100 | High school math competition AIME 2025 (python) |
| Sep 25, 2025 | 48.2 | AIME 2025, Thinking (non-thinking 50.1) | |
| Sep 25, 2025 | 75.6 | AIME 2025 single attempt, model card | |
| Sep 24, 2025 | 68.2 | AIME25 | |
| Sep 24, 2025 | 100 | AIME 25 (Thinking Heavy w/ Python) | |
| Sep 23, 2025 | 89.7 | AIME25 | |
| Sep 22, 2025 | 65 | AIME25 | |
| Sep 21, 2025 | 90.6 | AIME25(Mean@32) | |
| Sep 19, 2025 | Grok 4 Fast | 92 | AIME 2025 (no tools) pass@1 |
| Sep 17, 2025 | 77.3 | AIME25 pass@1 | |
| Sep 17, 2025 | 83.5 | AIME25 pass@1 | |
| Sep 11, 2025 | 87.8 | AIME25 | |
| Sep 9, 2025 | 78 | AIME2025 (Avg@32) | |
| Aug 29, 2025 | 61.3 | AIME25(avg@10) | |
| Aug 26, 2025 | Hermes 4 405B | 78.1 | AIME'25 (reasoning) |
| Aug 25, 2025 | 75.6 | AIME25 | |
| Aug 21, 2025 | 88.4 | AIME 2025 (Pass@1) | |
| Aug 20, 2025 | 84.7 | AIME25 | |
| Aug 18, 2025 | 72.1 | AIME25 | |
| Aug 10, 2025 | 72.9 | AIME25 | |
| Aug 7, 2025 | GPT-5 nano | 85.2 | AIME '25 (no tools) |
| Aug 7, 2025 | GPT-5 mini | 91.1 | AIME '25 (no tools) |
| Aug 7, 2025 | GPT-5 | 100 | AIME 2025 Competition math, GPT-5 pro (python) |
| Aug 5, 2025 | gpt-oss-20b | 98.7 | AIME 2025 (tools) |
| Aug 5, 2025 | Claude Opus 4.1 | 78 | High school math competition AIME 2025 |
| Aug 5, 2025 | gpt-oss-120b | 97.9 | AIME 2025 (tools) |
| Aug 1, 2025 | 99.2 | AIME 2025 | |
| Jul 31, 2025 | 82.9 | AIME25 | |
| Jul 25, 2025 | 82.7 | AIME 2025 (pass@1, avg of 16) | |
| Jul 25, 2025 | 92.3 | AIME25 | |
| Jul 24, 2025 | 62 | AIME25 pass@1 | |
| Jul 24, 2025 | 61 | AIME25 pass@1 | |
| Jul 24, 2025 | 86 | AIME2025 | |
| Jul 15, 2025 | 85.3 | AIME 2025 (reasoning) | |
| Jul 11, 2025 | Kimi K2 | 49.5 | AIME 2025, Avg@64 |
| Jul 10, 2025 | 69.1 | AIME'25 pass@1 | |
| Jul 9, 2025 | 33.6 | AIME25 | |
| Jul 9, 2025 | Grok 4 | 98.8 | AIME'25, with Python (no tools 91.7) |
| Jul 9, 2025 | Grok 4 Heavy | 100 | AIME'25 (Competition Math) [Grok 4 Heavy, Python] |
| Jun 30, 2025 | 35.1 | AIME'25 | |
| Jun 27, 2025 | 76.8 | AIME 2025 | |
| Jun 26, 2025 | 11.6 | AIME 2025 0-shot (IT) | |
| Jun 25, 2025 | 86 | AIME2025 | |
| Jun 17, 2025 | 72 | AIME 2025 single attempt | |
| Jun 17, 2025 | 63.1 | AIME 2025, Thinking | |
| Jun 17, 2025 | 88 | AIME 2025, single attempt (pass@1) | |
| Jun 16, 2025 | 76.9 | AIME 2025 | |
| Jun 10, 2025 | 62.8 | AIME25 pass@1 | |
| Jun 10, 2025 | 83.3 | AIME-25 (maj@64; maj@4 = 72.1, pass@1 = 64.9) | |
| May 28, 2025 | 87.5 | AIME 2025 (Pass@1) | |
| May 22, 2025 | Claude Sonnet 4 | 85 | High school math competition AIME 2025 (parallel test-time compute) |
| May 22, 2025 | Claude Opus 4 | 90 | High school math competition AIME 2025 (parallel test-time compute) |
| May 20, 2025 | 16.7 | AIME-25 | |
| May 11, 2025 | INTELLECT-2 | 64.9 | AIME25 |
| Apr 30, 2025 | 62.9 | AIME 25 | |
| Apr 30, 2025 | 16 | AIME 2025 | |
| Apr 30, 2025 | 78 | AIME 25 | |
| Apr 29, 2025 | MiMo-7B-RL | 55.4 | AIME 2025 (Pass@1) |
| Apr 29, 2025 | 81.5 | AIME’25 | |
| Apr 17, 2025 | 78 | AIME 2025 single attempt | |
| Apr 16, 2025 | o4-mini | 92.7 | AIME 2025 (no tools) |
| Apr 16, 2025 | o3 | 88.9 | AIME 2025 Competition Math, o3 (no tools) |
| Apr 14, 2025 | GLM-Z1-32B-0414 | 63.6 | AIME25 |
| Apr 10, 2025 | 74 | AIME 2025 | |
| Apr 7, 2025 | 72.5 | AIME25 (reasoning on) | |
| Mar 25, 2025 | 86.7 | AIME 2025, single attempt (pass@1) | |
| Mar 18, 2025 | 65.8 | AIME 2025 pass@1 65.8 (cons@64 80.0) | |
| Mar 18, 2025 | 58.4 | AIME25 (reasoning on) | |
| Mar 10, 2025 | Reka Flash 3 | 50 | AIME'25 (cons@64) |
| Feb 19, 2025 | Grok-3 mini | 90.8 | AIME'25 (cons@64; pass@1 = 82.0) [Grok 3 mini Think] |
| Feb 19, 2025 | Grok 3 | 93.3 | AIME'25 (cons@64; pass@1 = 77.3) |
81 system cards report it, from 29 labs
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Jun 9, 2026 | | 86.7 | AIME2025 (Figure 5, printed value) | Capabilities |
| Jun 2, 2026 | | 97 | AIME 2025, pass@1, 256k max output tokens, avg of 4 runs (Table 11) | Capabilities |
| May 26, 2026 | | 78 | AIME 2025, MiniMax-M2 bar, printed label (Figure 9) | Capabilities |
| May 26, 2026 | | 94 | AIME 2025, printed bar label (Figure 9) | Capabilities |
| May 26, 2026 | | 86.3 | AIME 2025, printed bar label (Figure 9) | Capabilities |
| Apr 27, 2026 | | 82.1 | AIME25 (no tools), pass@1 average of 8 runs (Table 10) | Capabilities |
| Mar 26, 2026 | | 93.1 | AIME-2025, thinking (Table 2) | Capabilities |
| Mar 21, 2026 | | 94.3 | AIME-25 (Table 1). Avg@10, 97.3 with increased thinking (Table 7) | Capabilities |
| Mar 19, 2026 | | 92.4 | AIME 2025, no tools (Table 1). TIR 98.6 | Capabilities |
| Mar 11, 2026 | | 90.2 | AIME25 (no tools) (Table 5) | Capabilities |
| Feb 28, 2026 | | 83.1 | AIME25 (Table 9) | Capabilities |
| Feb 19, 2026 | | 24.4 | AIME25, Trinity Large Preview (Table 4) | Capabilities |
| Feb 17, 2026 | Claude Sonnet 4.6 system card | 95.6 | AIME 2025, no tools, adaptive thinking, max effort, average of 10 trials (2.10) | Capabilities |
| Feb 14, 2026 | | 98.3 | AIME 2025 (Table 3) | Capabilities |
| Feb 11, 2026 | | 97.3 | AIME 2025, avg of 64 (Table 5). PaCoRe 99.9, with Python 99.8 (Table 12) | Capabilities |
| Feb 5, 2026 | Claude Opus 4.6 system card | 99.8 | AIME 2025, no tools, adaptive thinking, max effort, average of 5 trials, possible contamination noted (2.12) | Capabilities |
| Feb 4, 2026 | | 89.1 | AIME 2025 (Table 2) | Capabilities |
| Jan 30, 2026 | Kimi K2.5 technical report | 96.1 | AIME 2025, Avg@64 (Table 4) | Capabilities |
| Jan 23, 2026 | | 100 | AIME-25 (Avg@16), w/ tools, heavy mode (Table 2). Default mode 99.6 | Capabilities |
| Jan 14, 2026 | | 87.7 | AIME2025, SeRe (Tables 2 and 3). PaCoRe 94.43 | Capabilities |
| Jan 13, 2026 | | 85 | AIME 2025, reported as pass@16 (Table 5) | Capabilities |
| Jan 11, 2026 | | 84.3 | AIME 2025 (Table 6) | Capabilities |
| Jan 6, 2026 | MiMo-V2-Flash technical report | 94.1 | AIME 2025 (Table 9) | Capabilities |
| Jan 5, 2026 | | 83.1 | AIME25 pass@1 (Table 4). DeepConf@512 96.7 (Table 7) | Capabilities |
| Jan 5, 2026 | | 92.8 | AIME 2025 (Table 3, Reasoning mode). Non-reasoning 44.6 (Table 4) | Capabilities |
| Dec 23, 2025 | | 89.1 | AIME25 (no tools) (Table 3). With tools 99.17 | Capabilities |
| Dec 18, 2025 | INTELLECT-3 technical report | 88 | AIME25, Avg@32 (Table 2, Appendix A.1) | Capabilities |
| Dec 15, 2025 | | 72.5 | AIME 2025, Final Think 3.0 column (Table 14) | Capabilities |
| Dec 15, 2025 | | 78.1 | AIME 2025 (Tables 1 and 14) | Capabilities |
| Dec 2, 2025 | | 92.1 | AIME 2025 acc (Table 5) | Capabilities |
| Dec 2, 2025 | | 91 | AIME 2025 acc (Table 1) | Capabilities |
| Dec 2, 2025 | | 92.3 | AIME 2025 acc (Table 1) | Capabilities |
| Dec 1, 2025 | | 93.1 | AIME 2025 (Pass@1), DeepSeek-V3.2 Thinking (Table 2) | Capabilities |
| Dec 1, 2025 | | 96 | AIME 2025 (Pass@1), 23k output tokens, DeepSeek-V3.2-Speciale (Table 3) | Capabilities |
| Nov 26, 2025 | | 89.7 | AIME-25 (Table 6) | Capabilities |
| Nov 24, 2025 | Claude Opus 4.5 system card | 92.8 | AIME 2025, no tools, 64k thinking, avg of 5 trials (2.17; 100% with python tools, possible contamination noted) | Capabilities |
| Nov 6, 2025 | | 71.3 | AIME-25, reasoning on, SFT stage 4, mean of 16 runs (Table 6) | Capabilities |
| Oct 21, 2025 | | 93.4 | AIME 2025 (Avg@64) (Table 1) | Capabilities |
| Sep 30, 2025 | | 68.2 | AIME25, pass@1 averaged over 20 samples (Table 12) | Capabilities |
| Sep 29, 2025 | | 89.3 | AIME 2025 (Pass@1), DeepSeek-V3.2-Exp (Table 1) | Capabilities |
| Sep 26, 2025 | | 75.6 | AIME 2025, single attempt (pass@1) (Table, p.4) | Capabilities |
| Sep 23, 2025 | | 90.6 | AIME-25(Mean@32), no tools (Table 2). With tools 90.00 at 6,965 average tokens versus 19,653 (Figure 9) | Capabilities |
| Sep 22, 2025 | | 65 | AIME25, Instruct (Table 4). Thinking 73.7 (Table 5) | Capabilities |
| Sep 2, 2025 | | 72.9 | AIME25, max_tokens 64k (Table 1) | Capabilities |
| Sep 1, 2025 | | 61.3 | AIME25 (avg@10) (Table 3) | Capabilities |
| Aug 25, 2025 | | 75.6 | AIME25 (Table 2, Table 14) | Capabilities |
| Aug 25, 2025 | Hermes 4 405B technical report | 78.1 | AIME'25, reasoning mode (Table 3). Non-reasoning 10.6 | Capabilities |
| Aug 21, 2025 | | 86 | AIME2025, OpenCompass version (Table 2) | Capabilities |
| Aug 20, 2025 | | 72 | AIME25, NVIDIA-Nemotron-Nano-9B-v2 (Figure 1). The launch model card prints 72.1 | Capabilities |
| Aug 5, 2025 | gpt-oss-20b model card | 98.7 | AIME 2025 (with tools), high reasoning (no tools 91.7) (Table 3, Figure 1) | Capabilities |
| Aug 5, 2025 | gpt-oss-120b model card | 97.9 | AIME 2025 (with tools), high reasoning (no tools 92.5) (Table 3, Figure 1) | Capabilities |
| Jul 30, 2025 | | 16.7 | AIME-25, average accuracy over 16 repetitions (Table 24) | Capabilities |
| Jul 21, 2025 | Kimi K2 technical report | 49.5 | AIME 2025 (Avg@64) (Table 3) | Capabilities |
| Jul 15, 2025 | | 85.3 | AIME 2025, n=32, 64K budget (Table 3, Reasoning). 32K budget 74.8, 1K 35.6 (Table 7). Non-reasoning 35.9 (Table 4) | Capabilities |
| Jul 9, 2025 | | 33.6 | AIME25, pass@1 averaged over 64 samples (Table 4) | Capabilities |
| Jul 7, 2025 | | 88 | AIME 2025, single attempt pass@1 (Table 3) | Capabilities |
| Jul 7, 2025 | | 72 | AIME 2025, single attempt pass@1 (Table 3) | Capabilities |
| Jun 29, 2025 | | 35.1 | AIME'25 (Table 5) | Capabilities |
| Jun 26, 2025 | | 76.8 | AIME2025, slow-thinking (Table 3). Fast-thinking 19.2 (Table 4) | Capabilities |
| Jun 16, 2025 | | 76.9 | AIME 2025, avg of 32 samples (Table 2) | Capabilities |
| Jun 12, 2025 | | 62.8 | AIME'25 pass@1, SFT + RL (Magistral Small) column (Table 3). maj@64 76.7 | Capabilities |
| Jun 12, 2025 | | 64.9 | AIME'25, pass@1 averaged over 64 runs (Table 2). maj@64 83.3 | Capabilities |
| May 14, 2025 | | 67.3 | AIME’25, thinking mode (Table 17). Non-thinking 20.9 (Table 18) | Capabilities |
| May 14, 2025 | | 65.6 | AIME’25, thinking mode (Table 17). Non-thinking 19.1 (Table 18) | Capabilities |
| May 14, 2025 | | 72.9 | AIME’25, thinking mode (Table 13). Non-thinking 20.2 (Table 14) | Capabilities |
| May 14, 2025 | | 70.9 | AIME’25, thinking mode (Table 15). Non-thinking 21.6 (Table 16) | Capabilities |
| May 14, 2025 | | 81.5 | AIME’25, thinking mode (Table 11). Non-thinking 24.7 (Table 12) | Capabilities |
| May 14, 2025 | | 70.4 | AIME’25, thinking mode (Table 15). Non-thinking 23.3 (Table 16) | Capabilities |
| May 14, 2025 | | 36.8 | AIME’25, thinking mode (Table 19). Non-thinking 9.8 (Table 20) | Capabilities |
| May 12, 2025 | MiMo-7B-RL technical report | 55.4 | AIME 2025 (Pass@1), average of 32 runs (Table 4, Table 5, Table 6) | Capabilities |
| May 12, 2025 | INTELLECT-2 technical report | 64.9 | AIME25, evalchemy defaults, target length 10,000 tokens (Table 1) | Capabilities |
| May 2, 2025 | | 60 | AIME25, full 30 questions, reasoning on, reasoning off 16.7 (Table 4). The launch model card prints 58.4 | Capabilities |
| May 2, 2025 | | 72.5 | AIME25, full 30 questions, reasoning on, reasoning off 16.7 (Table 5) | Capabilities |
| Apr 30, 2025 | | 63.1 | AIME 25, average pass@1, std 6.3 (Table 1, Figure 8) | Capabilities |
| Apr 30, 2025 | | 78 | AIME 25, average pass@1 over 50 runs (Table 1) | Capabilities |
| Apr 30, 2025 | | 16 | AIME 2025, mean of 5 samples (Table 1) | Capabilities |
| Apr 29, 2025 | | 78 | AIME 2025, single attempt (pass@1) (Table, p.4) | Capabilities |
| Apr 28, 2025 | | 86.7 | AIME 2025, single attempt pass@1 (Table, p.4, column Gemini 2.5 Pro Experimental 03-25) | Capabilities |
| Apr 10, 2025 | | 74 | AIME 2025, mean of 32 samples (Table 2) | Capabilities |
| Mar 16, 2025 | | 65.8 | AIME 2025, pass@1 with k=64, cons@64 80.0 (Table 2) | Capabilities |
| Jan 20, 2025 | | AIME 2025 average score 11.3/15, USAMO index 256.7 (Table 13) | Capabilities |
The lab's number comes out ahead in 20 of 29 pairs that differ
Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. 1 of them match, which usually means one side copied the other. Every benchmark.
| Model | Lab says | Board says | Gap | What differs |
|---|---|---|---|---|
| Claude Opus 4 | 90% High school math competition AIME 2025 (parallel test-time compute) | 70% Leaderboard, thinking | +20 pts | The lab used parallel test-time compute, while MathArena averages separate individual runs. |
| Claude Sonnet 4.5 | 100% High school math competition AIME 2025 (python) | 84.2% Leaderboard, thinking | +16 pts | |
| gpt-oss-20b | 98.7% AIME 2025 (tools) | 89.2% Leaderboard, high | +9.5 pts | |
| Grok-3 mini | 90.8% AIME'25 (cons@64; pass@1 = 82.0) [Grok 3 mini Think] | 81.7% Leaderboard, high | +9.1 pts | |
| gpt-oss-120b | 97.9% AIME 2025 (tools) | 90% Leaderboard, high | +7.9 pts | |
| Grok 4 | 98.8% AIME'25, with Python (no tools 91.7) | 92.5% Leaderboard | +6.3 pts | |
| GPT-5 | 100% AIME 2025 Competition math, GPT-5 pro (python) | 95% Leaderboard, high | +5.0 pts | |
| | 100% AIME 2025, With code execution; No tools = 95.0% | 95% Leaderboard | +5.0 pts | |
| | 75.6% AIME 2025 single attempt, model card | 70.8% Leaderboard, thinking | +4.8 pts | |
| GPT-5 mini | 91.1% AIME '25 (no tools) | 87.5% Leaderboard, high | +3.6 pts | |
| | 83.1% AIME-25 | 86.7% Leaderboard | −3.6 pts | |
| | 88.4% AIME 2025 (Pass@1) | 90.8% Leaderboard, thinking | −2.4 pts | |
| | 89.3% AIME 2025 | 91.7% Leaderboard, thinking | −2.4 pts | |
| GLM-4.6 | 93.9% AIME 25 | 91.7% Leaderboard | +2.2 pts | |
| | 99.7% AIME 2025, With code execution; No tools = 95.2% | 97.5% Leaderboard, high | +2.2 pts | |
| Kimi K2 Thinking | 94.5% AIME25, no tools | 92.5% Leaderboard | +2.0 pts | |
| | 87.5% AIME 2025 (Pass@1) | 89.2% Leaderboard | −1.7 pts | |
| | 86.7% AIME 2025, single attempt (pass@1) | 88.3% Leaderboard | −1.6 pts | |
| Grok 4 Fast | 92% AIME 2025 (no tools) pass@1 | 90.8% Leaderboard | +1.2 pts | |
| | 93.1% AIME 2025 (Pass@1) | 94.2% Leaderboard, thinking | −1.1 pts | |
| o4-mini | 92.7% AIME 2025 (no tools) | 91.7% Leaderboard, high | +1.0 pts | |
| | 97.3% AIME 2025 | 98.3% Leaderboard | −1.0 pts | |
| | 70.9% AIME’25, thinking mode (Table 15). Non-thinking 21.6 (Table 16) | 70% Leaderboard | +0.9 pts | |
| | 81.5% AIME’25 | 80.8% Leaderboard | +0.7 pts | |
| o3 | 88.9% AIME 2025 Competition Math, o3 (no tools) | 89.2% Leaderboard, high | −0.3 pts | |
| Kimi K2.5 | 96.1% AIME 2025 | 95.8% Leaderboard, high | +0.3 pts | |
| GPT-5 nano | 85.2% AIME '25 (no tools) | 85% Leaderboard, high | +0.2 pts | |
| GPT-5.1 | 94% AIME 2025 (no tools) | 94.2% Leaderboard, high | −0.2 pts | |
| | 96% AIME 2025 (Pass@1), 23k output tokens, DeepSeek-V3.2-Speciale (Table 3) | 95.8% Leaderboard | +0.2 pts | |
| GPT-5.2 | 100% AIME 2025 (no tools) Competition math | 100% Leaderboard, high | Same |
Versions
We switch the top row to each new version when it comes out. Open it for one row per version. An old version stays in play while people still test it, so whoever first takes it past 85% gets credit for closing it out.
Sources: Official leaderboards and labs’ model cards
More in Math
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- HMMT 2026 In use Models solve the 33 final-answer problems from the February 2026 Harvard-MIT Mathematics Tournament. Scored by exact answer match. GPT-5.5 98.5%
- PolyMath In use Models solve 9,000 parallel math problems in 18 languages across four difficulty levels, from school math to frontier math. Final answers are checked.
Qwen3.7-Max 86.5%
- MathArena (Apex, IMO, USAMO) In use Evaluates models on newly released math competitions after release. Final-answer or human/LLM-judged proof scores. Claude Opus 4.8 81.3%
- MathArena Apex Shortlist In use Models solve 47 hard final-answer problems that MathArena selected from 2025 competitions, where the best models scored about 50% at selection. Scored by accuracy over repeated attempts. GPT-5.5 98.4%
- FrontierMath Tiers 1-3 v2 In use Models solve 295 unpublished math problems from undergraduate to advanced graduate level and submit answers that code checks automatically. Scored by share correct. Claude Fable 5.2 95.1%