MATH-500
Models solve 500 competition math problems drawn from the MATH test set. Final answers are checked against the reference answers.
Near saturation, since DeepSeek-R1 already scored 97.3 percent in January 2025.
- Made by
- OpenAI
- Released
- May 2023
- Kind
- Competition problems with answers
- Level
- Competition
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- All public
- Strongest model tested
-
Gemini 3 Pro #55 on the capability index
- Last in a launch post
- October 2026, dropped after it saturated
- Last model added
- October 2026
- Scores refreshed
- November 12th, 2026
LongCat-Flash-Thinking leads with 99.2%
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.
Gemini 3 Pro leads with 96.4% across all independent runs
Best score per model across Vals AI’s leaderboard, Epoch AI’s own runs and any board Epoch AI copied. Each bar and row names its source.
LongCat-Flash-Thinking leads with 99.2%, 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.
- 99.2
LongCat-Flash-Thinking
- 98.6 Sarvam 105B
- 98.6
Cogito v2.1
- 98.2 GLM-4.5
- 98.1 GLM-4.5-Air
- 98.1 INTELLECT-3
- 98.0
Qwen3-235B-A22B
- 98.0
Qwen3-30B-A3B
- 98.0
InternVL3.5-241B-A28B
- 97.9 o3-mini
- 97.8 nvidia-nemotron-nano-9b-v2
- 97.6
LongCat-Flash-Omni
- 97.4
Qwen3-8B
- 97.4 Kimi K2
- 97.4
Llama-3.3-Nemotron-Super-49B-v1.5
- 97.4
Falcon H1R 7B
- 97.3
DeepSeek-R1
- 97.2
Qwen3-32B
- 97.0
Llama-3.1-Nemotron-Ultra-253B-v1
- 97.0
Qwen3-4B
- 97.0 Sarvam 30B
- 96.9
Nemotron Nano 12B v2 VL
- 96.8
Qwen3-14B
- 96.8
MiniMax-M1-80k
- 96.6
Llama-3.3-Nemotron-Super-49B-v1
- 96.6
Code World Model (CWM)
- 96.4 o1
- 96.4
ERNIE-4.5-300B-A47B
- 96.4
LongCat-Flash-Chat
- 96.3 Hermes 4 405B
- 96.2 Kimi k1.5
- 96.2 Claude 3.7 Sonnet
- 96.2
Hunyuan-T1
- 96.0 LFM2.5-24B-A2B
- 95.9
Magistral Small 1.0
- 95.8 MiMo-7B-RL
- 95.7
EXAONE Deep 32B
- 95.4
Solar Pro 2
- 95.4
Nemotron 3 Nano 4B
- 95.0
Llama 4 Behemoth
- 94.6
Phi-4-mini-reasoning
- 94.5
DeepSeek-R1-Distill-Llama-70B
- 94.3
DeepSeek-R1-Distill-Qwen-32B
- 94.3
Magistral Medium 1.0
- 93.9
DeepSeek-R1-Distill-Qwen-14B
- 93.8 Hermes 4.3 36B
- 93.4
Qwen3-1.7B
- 92.5
Phi-4-mini-flash-reasoning
- 92.1
Trinity Mini
- 91.0
Mistral Medium 3
- 90.6 Reka Flash 3
- 90.2
DeepSeek-V3
- 88.8 LFM2.5-8B-A1B
- 88.0 LFM2.5-1.2B-Thinking
- 85.5 o1-preview
- 83.9
DeepSeek-R1-Distill-Qwen-1.5B
- 83.8
Falcon-H1-34B
- 83.0
InternLM3-8B-Instruct
- 83.0 Mercury
- 82.0
Amazon Nova Premier
- 81.6
Nemotron 3.5 Super 120B-A12B Base
- 79.5
Nemotron 3.5 Lightning 30B-A3B Base
- 78.6
Nemotron 3 Nano 30B-A3B Base
- 74.2 LFM2-8B-A1B
- 71.8
Phi-4 Mini
- 69.0 Granite 3.3 8B Instruct
- 43.4
BitNet b1.58 2B4T
- 42.4 LFM2-1.2B
- 18.4
Qwen-14B
- 6.80
Qwen-7B
- 1
LongCat-Flash-Thinking 99.2%
- 2 Sarvam 105B 98.6%
- 3
Cogito v2.1 98.6%
- 4 GLM-4.5 98.2%
- 5 GLM-4.5-Air 98.1%
- 6 INTELLECT-3 98.1%
- 7
Qwen3-235B-A22B 98%
- 8
Qwen3-30B-A3B 98%
- 9
InternVL3.5-241B-A28B 98%
- 10 o3-mini 97.9%
- 11 nvidia-nemotron-nano-9b-v2 97.8%
- 12
LongCat-Flash-Omni 97.6%
- 13
Qwen3-8B 97.4%
- 14 Kimi K2 Jul 2025 97.4%
- 15
Llama-3.3-Nemotron-Super-49B-v1.5 97.4%
- 16
Falcon H1R 7B 97.4%
- 17
DeepSeek-R1 97.3%
- 18
Qwen3-32B 97.2%
- 19
Llama-3.1-Nemotron-Ultra-253B-v1 97%
- 20
Qwen3-4B 97%
- 21 Sarvam 30B 97%
- 22
Nemotron Nano 12B v2 VL 96.9%
- 23
Qwen3-14B 96.8%
- 24
MiniMax-M1-80k 96.8%
- 25
Llama-3.3-Nemotron-Super-49B-v1 96.6%
- 26
Code World Model (CWM) 96.6%
- 27 o1 96.4%
- 28
ERNIE-4.5-300B-A47B 96.4%
- 29
LongCat-Flash-Chat 96.4%
- 30 Hermes 4 405B 96.3%
- 31 Kimi k1.5 96.2%
- 32 Claude 3.7 Sonnet 96.2%
- 33
Hunyuan-T1 96.2%
- 34 LFM2.5-24B-A2B 96%
- 35
Magistral Small 1.0 95.9%
- 36 MiMo-7B-RL 95.8%
- 37
EXAONE Deep 32B 95.7%
- 38
Solar Pro 2 95.4%
- 39
Nemotron 3 Nano 4B 95.4%
- 40
Llama 4 Behemoth 95%
- 41
Phi-4-mini-reasoning 94.6%
- 42
DeepSeek-R1-Distill-Llama-70B 94.5%
- 43
DeepSeek-R1-Distill-Qwen-32B 94.3%
- 44
Magistral Medium 1.0 94.3%
- 45
DeepSeek-R1-Distill-Qwen-14B 93.9%
- 46 Hermes 4.3 36B 93.8%
- 47
Qwen3-1.7B 93.4%
- 48
Phi-4-mini-flash-reasoning 92.5%
- 49
Trinity Mini 92.1%
- 50
Mistral Medium 3 91%
- 51 Reka Flash 3 90.6%
- 52
DeepSeek-V3 90.2%
- 53 LFM2.5-8B-A1B 88.8%
- 54 LFM2.5-1.2B-Thinking 88%
- 55 o1-preview 85.5%
- 56
DeepSeek-R1-Distill-Qwen-1.5B 83.9%
- 57
Falcon-H1-34B 83.8%
- 58
InternLM3-8B-Instruct 83%
- 59 Mercury 83%
- 60
Amazon Nova Premier 82%
- 61
Nemotron 3.5 Super 120B-A12B Base 81.6%
- 62
Nemotron 3.5 Lightning 30B-A3B Base 79.5%
- 63
Nemotron 3 Nano 30B-A3B Base 78.6%
- 64 LFM2-8B-A1B 74.2%
- 65
Phi-4 Mini 71.8%
- 66 Granite 3.3 8B Instruct 69%
- 67
BitNet b1.58 2B4T 43.4%
- 68 LFM2-1.2B 42.4%
- 69
Qwen-14B 18.4%
- 70
Qwen-7B 6.80%
Source: Labs’ model cards
- 96.4
Gemini 3 Pro
- 96.2 Grok 4
- 96.0 GPT-5
- 95.4 Claude Opus 4.1
- 95.2
Gemini 2.5 Pro
- 94.8 gpt-oss-120b
- 94.8 GPT-5 mini
- 94.6 o3
- 94.6
Qwen3-235B-A22B
- 94.2 Grok-3 mini
- 94.2 o4-mini
- 94.2 Kimi K2
- 94.2 gpt-oss-20b
- 94.0 GLM-4.5
- 93.8 Claude Sonnet 4
- 93.8 GPT-5 nano
- 92.2
DeepSeek-R1
- 91.8 o3-mini
- 91.8
Gemini 2.5 Flash
- 91.6 Claude 3.7 Sonnet
- 90.4 o1
- 90.4 Claude Opus 4
- 89.8 Grok 3
- 89.0
Gemini 2.0 Flash
- 89.0
MiniMax-M2.1
- 88.6
DeepSeek-V3
- 88.0 GPT-4.1 mini
- 87.2 GPT-4.1
- 85.2
Llama 4 Maverick
- 84.6
Gemini 2.0 Flash Thinking
- 80.2 GPT-4.1 nano
- 79.2
Llama 4 Scout
- 78.4 Grok-2
- 72.6 GPT-4o mini
- 72.4 Claude 3.5 Sonnet
- 64.2 Claude 3.5 Haiku
- 54.8 Jamba 1.6 Large
- 25.4 Jamba 1.6 Mini
- 1
Gemini 3 Pro Vals AI harness 96.4%
- 2 Grok 4 Vals AI harness 96.2%
- 3 GPT-5 Vals AI harness 96%
- 4 Claude Opus 4.1 Vals AI harness 95.4%
- 5
Gemini 2.5 Pro Jun 2025, Vals AI harness 95.2%
- 6 gpt-oss-120b Vals AI harness 94.8%
- 7 GPT-5 mini Vals AI harness 94.8%
- 8 o3 Vals AI harness 94.6%
- 9
Qwen3-235B-A22B Vals AI harness 94.6%
- 10 Grok-3 mini Vals AI harness 94.2%
- 11 o4-mini Vals AI harness 94.2%
- 12 Kimi K2 Jul 2025, Vals AI harness 94.2%
- 13 gpt-oss-20b Vals AI harness 94.2%
- 14 GLM-4.5 Vals AI harness 94%
- 15 Claude Sonnet 4 Vals AI harness 93.8%
- 16 GPT-5 nano Vals AI harness 93.8%
- 17
DeepSeek-R1 May 2025, Vals AI harness 92.2%
- 18 o3-mini Vals AI harness 91.8%
- 19
Gemini 2.5 Flash Apr 2025, Vals AI harness 91.8%
- 20 Claude 3.7 Sonnet Vals AI harness 91.6%
- 21 o1 Vals AI harness 90.4%
- 22 Claude Opus 4 Vals AI harness 90.4%
- 23 Grok 3 Vals AI harness 89.8%
- 24
Gemini 2.0 Flash Feb 2025, Vals AI harness 89%
- 25
MiniMax-M2.1 Vals AI harness 89%
- 26
DeepSeek-V3 Mar 2025, Vals AI harness 88.6%
- 27 GPT-4.1 mini Vals AI harness 88%
- 28 GPT-4.1 Vals AI harness 87.2%
- 29
Llama 4 Maverick Vals AI harness 85.2%
- 30
Gemini 2.0 Flash Thinking Jan 2025, Vals AI harness 84.6%
- 31 GPT-4.1 nano Vals AI harness 80.2%
- 32
Llama 4 Scout Vals AI harness 79.2%
- 33 Grok-2 Dec 2024, Vals AI harness 78.4%
- 34 GPT-4o mini Vals AI harness 72.6%
- 35 Claude 3.5 Sonnet Vals AI harness 72.4%
- 36 Claude 3.5 Haiku Vals AI harness 64.2%
- 37 Jamba 1.6 Large Vals AI harness 54.8%
- 38 Jamba 1.6 Mini Vals AI harness 25.4%
Source: Vals AI’s leaderboard
- 99.2
LongCat-Flash-Thinking
- 98.6 Sarvam 105B
- 98.6
Cogito v2.1
- 98.2 GLM-4.5
- 98.1 GLM-4.5-Air
- 98.1 INTELLECT-3
- 98.0
Qwen3-235B-A22B
- 98.0
Qwen3-30B-A3B
- 98.0
InternVL3.5-241B-A28B
- 97.9 o3-mini
- 97.8 nvidia-nemotron-nano-9b-v2
- 97.6
LongCat-Flash-Omni
- 97.4
Qwen3-8B
- 97.4 Kimi K2
- 97.4
Llama-3.3-Nemotron-Super-49B-v1.5
- 97.4
Falcon H1R 7B
- 97.3
DeepSeek-R1
- 97.2
Qwen3-32B
- 97.0
Llama-3.1-Nemotron-Ultra-253B-v1
- 97.0
Qwen3-4B
- 97.0 Sarvam 30B
- 96.9
Nemotron Nano 12B v2 VL
- 96.8
Qwen3-14B
- 96.8
MiniMax-M1-80k
- 96.6
Llama-3.3-Nemotron-Super-49B-v1
- 96.6
Code World Model (CWM)
- 96.4 o1
- 96.4
ERNIE-4.5-300B-A47B
- 96.4
LongCat-Flash-Chat
- 96.4
Gemini 3 Pro
- 96.3 Hermes 4 405B
- 96.2 Kimi k1.5
- 96.2 Claude 3.7 Sonnet
- 96.2
Hunyuan-T1
- 96.2 Grok 4
- 96.0 LFM2.5-24B-A2B
- 96.0 GPT-5
- 95.9
Magistral Small 1.0
- 95.8 MiMo-7B-RL
- 95.7
EXAONE Deep 32B
- 95.4
Solar Pro 2
- 95.4 Claude Opus 4.1
- 95.4
Nemotron 3 Nano 4B
- 95.2
Gemini 2.5 Pro
- 95.0
Llama 4 Behemoth
- 94.8 gpt-oss-120b
- 94.8 GPT-5 mini
- 94.6 o3
- 94.6
Phi-4-mini-reasoning
- 94.5
DeepSeek-R1-Distill-Llama-70B
- 94.3
DeepSeek-R1-Distill-Qwen-32B
- 94.3
Magistral Medium 1.0
- 94.2 Grok-3 mini
- 94.2 o4-mini
- 94.2 gpt-oss-20b
- 93.9
DeepSeek-R1-Distill-Qwen-14B
- 93.8 Claude Sonnet 4
- 93.8 GPT-5 nano
- 93.8 Hermes 4.3 36B
- 93.4
Qwen3-1.7B
- 92.5
Phi-4-mini-flash-reasoning
- 92.2
DeepSeek-R1
- 92.1
Trinity Mini
- 91.8
Gemini 2.5 Flash
- 91.0
Mistral Medium 3
- 90.6 Reka Flash 3
- 90.4 Claude Opus 4
- 90.2
DeepSeek-V3
- 89.8 Grok 3
- 89.0
Gemini 2.0 Flash
- 89.0
MiniMax-M2.1
- 88.8 LFM2.5-8B-A1B
- 88.6
DeepSeek-V3
- 88.0 GPT-4.1 mini
- 88.0 LFM2.5-1.2B-Thinking
- 87.2 GPT-4.1
- 85.5 o1-preview
- 85.2
Llama 4 Maverick
- 84.6
Gemini 2.0 Flash Thinking
- 83.9
DeepSeek-R1-Distill-Qwen-1.5B
- 83.8
Falcon-H1-34B
- 83.0
InternLM3-8B-Instruct
- 83.0 Mercury
- 82.0
Amazon Nova Premier
- 81.6
Nemotron 3.5 Super 120B-A12B Base
- 80.2 GPT-4.1 nano
- 79.5
Nemotron 3.5 Lightning 30B-A3B Base
- 79.2
Llama 4 Scout
- 78.6
Nemotron 3 Nano 30B-A3B Base
- 78.4 Grok-2
- 74.2 LFM2-8B-A1B
- 72.6 GPT-4o mini
- 72.4 Claude 3.5 Sonnet
- 71.8
Phi-4 Mini
- 69.0 Granite 3.3 8B Instruct
- 64.2 Claude 3.5 Haiku
- 54.8 Jamba 1.6 Large
- 43.4
BitNet b1.58 2B4T
- 42.4 LFM2-1.2B
- 25.4 Jamba 1.6 Mini
- 18.4
Qwen-14B
- 6.80
Qwen-7B
- 1
LongCat-Flash-Thinking 99.2%
- 2 Sarvam 105B 98.6%
- 3
Cogito v2.1 98.6%
- 4 GLM-4.5 98.2%
- 5 GLM-4.5-Air 98.1%
- 6 INTELLECT-3 98.1%
- 7
Qwen3-235B-A22B 98%
- 8
Qwen3-30B-A3B 98%
- 9
InternVL3.5-241B-A28B 98%
- 10 o3-mini 97.9%
- 11 nvidia-nemotron-nano-9b-v2 97.8%
- 12
LongCat-Flash-Omni 97.6%
- 13
Qwen3-8B 97.4%
- 14 Kimi K2 Jul 2025 97.4%
- 15
Llama-3.3-Nemotron-Super-49B-v1.5 97.4%
- 16
Falcon H1R 7B 97.4%
- 17
DeepSeek-R1 97.3%
- 18
Qwen3-32B 97.2%
- 19
Llama-3.1-Nemotron-Ultra-253B-v1 97%
- 20
Qwen3-4B 97%
- 21 Sarvam 30B 97%
- 22
Nemotron Nano 12B v2 VL 96.9%
- 23
Qwen3-14B 96.8%
- 24
MiniMax-M1-80k 96.8%
- 25
Llama-3.3-Nemotron-Super-49B-v1 96.6%
- 26
Code World Model (CWM) 96.6%
- 27 o1 96.4%
- 28
ERNIE-4.5-300B-A47B 96.4%
- 29
LongCat-Flash-Chat 96.4%
- 30
Gemini 3 Pro Vals AI harness 96.4%
- 31 Hermes 4 405B 96.3%
- 32 Kimi k1.5 96.2%
- 33 Claude 3.7 Sonnet 96.2%
- 34
Hunyuan-T1 96.2%
- 35 Grok 4 Vals AI harness 96.2%
- 36 LFM2.5-24B-A2B 96%
- 37 GPT-5 Vals AI harness 96%
- 38
Magistral Small 1.0 95.9%
- 39 MiMo-7B-RL 95.8%
- 40
EXAONE Deep 32B 95.7%
- 41
Solar Pro 2 95.4%
- 42 Claude Opus 4.1 Vals AI harness 95.4%
- 43
Nemotron 3 Nano 4B 95.4%
- 44
Gemini 2.5 Pro Jun 2025, Vals AI harness 95.2%
- 45
Llama 4 Behemoth 95%
- 46 gpt-oss-120b Vals AI harness 94.8%
- 47 GPT-5 mini Vals AI harness 94.8%
- 48 o3 Vals AI harness 94.6%
- 49
Phi-4-mini-reasoning 94.6%
- 50
DeepSeek-R1-Distill-Llama-70B 94.5%
- 51
DeepSeek-R1-Distill-Qwen-32B 94.3%
- 52
Magistral Medium 1.0 94.3%
- 53 Grok-3 mini Vals AI harness 94.2%
- 54 o4-mini Vals AI harness 94.2%
- 55 gpt-oss-20b Vals AI harness 94.2%
- 56
DeepSeek-R1-Distill-Qwen-14B 93.9%
- 57 Claude Sonnet 4 Vals AI harness 93.8%
- 58 GPT-5 nano Vals AI harness 93.8%
- 59 Hermes 4.3 36B 93.8%
- 60
Qwen3-1.7B 93.4%
- 61
Phi-4-mini-flash-reasoning 92.5%
- 62
DeepSeek-R1 May 2025, Vals AI harness 92.2%
- 63
Trinity Mini 92.1%
- 64
Gemini 2.5 Flash Apr 2025, Vals AI harness 91.8%
- 65
Mistral Medium 3 91%
- 66 Reka Flash 3 90.6%
- 67 Claude Opus 4 Vals AI harness 90.4%
- 68
DeepSeek-V3 90.2%
- 69 Grok 3 Vals AI harness 89.8%
- 70
Gemini 2.0 Flash Feb 2025, Vals AI harness 89%
- 71
MiniMax-M2.1 Vals AI harness 89%
- 72 LFM2.5-8B-A1B 88.8%
- 73
DeepSeek-V3 Mar 2025, Vals AI harness 88.6%
- 74 GPT-4.1 mini Vals AI harness 88%
- 75 LFM2.5-1.2B-Thinking 88%
- 76 GPT-4.1 Vals AI harness 87.2%
- 77 o1-preview 85.5%
- 78
Llama 4 Maverick Vals AI harness 85.2%
- 79
Gemini 2.0 Flash Thinking Jan 2025, Vals AI harness 84.6%
- 80
DeepSeek-R1-Distill-Qwen-1.5B 83.9%
- 81
Falcon-H1-34B 83.8%
- 82
InternLM3-8B-Instruct 83%
- 83 Mercury 83%
- 84
Amazon Nova Premier 82%
- 85
Nemotron 3.5 Super 120B-A12B Base 81.6%
- 86 GPT-4.1 nano Vals AI harness 80.2%
- 87
Nemotron 3.5 Lightning 30B-A3B Base 79.5%
- 88
Llama 4 Scout Vals AI harness 79.2%
- 89
Nemotron 3 Nano 30B-A3B Base 78.6%
- 90 Grok-2 Dec 2024, Vals AI harness 78.4%
- 91 LFM2-8B-A1B 74.2%
- 92 GPT-4o mini Vals AI harness 72.6%
- 93 Claude 3.5 Sonnet Vals AI harness 72.4%
- 94
Phi-4 Mini 71.8%
- 95 Granite 3.3 8B Instruct 69%
- 96 Claude 3.5 Haiku Vals AI harness 64.2%
- 97 Jamba 1.6 Large Vals AI harness 54.8%
- 98
BitNet b1.58 2B4T 43.4%
- 99 LFM2-1.2B 42.4%
- 100 Jamba 1.6 Mini Vals AI harness 25.4%
- 101
Qwen-14B 18.4%
- 102
Qwen-7B 6.80%
Sources: Labs’ model cards and Vals AI’s leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 99.2% | Sep 2025 | Lab model card | |
| 2 | Sarvam 105B | 98.6% | Mar 2026 | Lab model card | |
| 3 | | 98.6% | Nov 2025 | Lab model card | |
| 4 | GLM-4.5 | 98.2% | Jul 2025 | Lab model card | |
| 5 | GLM-4.5-Air | 98.1% | Aug 2025 | Lab model card | |
| 6 | INTELLECT-3 | 98.1% | Nov 2025 | Lab model card | |
| 7 | | 98% | Apr 2025 | Lab model card | |
| 8 | | 98% | May 2025 | Lab model card | |
| 9 | | 98% | Aug 2025 | Lab model card | |
| 10 | o3-mini | 97.9% | Jan 2025 | Lab model card | |
| 11 | nvidia-nemotron-nano-9b-v2 | 97.8% | Aug 2025 | Lab model card | |
| 12 | | 97.6% | Oct 2025 | Lab model card | |
| 13 | | 97.4% | May 2025 | Lab model card | |
| 14 | Kimi K2 Jul 2025 | 97.4% | Jul 2025 | Lab model card | |
| 15 | | 97.4% | Jul 2025 | Lab model card | |
| 16 | | 97.4% | Jan 2026 | Lab model card | |
| 17 | | 97.3% | Jan 2025 | Lab model card | |
| 18 | | 97.2% | May 2025 | Lab model card | |
| 19 | | 97% | Apr 2025 | Lab model card | |
| 20 | | 97% | May 2025 | Lab model card | |
| 21 | Sarvam 30B | 97% | Mar 2026 | Lab model card | |
| 22 | | 96.9% | Nov 2025 | Lab model card | |
| 23 | | 96.8% | May 2025 | Lab model card | |
| 24 | | 96.8% | Jun 2025 | Lab model card | |
| 25 | | 96.6% | Mar 2025 | Lab model card | |
| 26 | | 96.6% | Sep 2025 | Lab model card | |
| 27 | o1 | 96.4% | Dec 2024 | Lab model card | |
| 28 | | 96.4% | Jun 2025 | Lab model card | |
| 29 | | 96.4% | Aug 2025 | Lab model card | |
| 30 | Hermes 4 405B | 96.3% | Aug 2025 | Lab model card | |
| 31 | Kimi k1.5 | 96.2% | Jan 2025 | Lab model card | |
| 32 | Claude 3.7 Sonnet | 96.2% | Feb 2025 | Lab model card | |
| 33 | | 96.2% | Mar 2025 | Lab model card | |
| 34 | LFM2.5-24B-A2B | 96% | Oct 2026 | Lab model card | |
| 35 | | 95.9% | Jun 2025 | Lab model card | |
| 36 | MiMo-7B-RL | 95.8% | Apr 2025 | Lab model card | |
| 37 | | 95.7% | Mar 2025 | Lab model card | |
| 38 | | 95.4% | Jul 2025 | Lab model card | |
| 39 | | 95.4% | Mar 2026 | Lab model card | |
| 40 | | 95% | Apr 2025 | Lab model card | |
| 41 | | 94.6% | Apr 2025 | Lab model card | |
| 42 | | 94.5% | Jan 2025 | Lab model card | |
| 43 | | 94.3% | Jan 2025 | Lab model card | |
| 44 | | 94.3% | Jun 2025 | Lab model card | |
| 45 | | 93.9% | Jan 2025 | Lab model card | |
| 46 | Hermes 4.3 36B | 93.8% | Dec 2025 | Lab model card | |
| 47 | | 93.4% | May 2025 | Lab model card | |
| 48 | | 92.5% | Jul 2025 | Lab model card | |
| 49 | | 92.1% | Dec 2025 | Lab model card | |
| 50 | | 91% | May 2025 | Lab model card | |
| 51 | Reka Flash 3 | 90.6% | Mar 2025 | Lab model card | |
| 52 | | 90.2% | Dec 2024 | Lab model card | |
| 53 | LFM2.5-8B-A1B | 88.8% | May 2026 | Lab model card | |
| 54 | LFM2.5-1.2B-Thinking | 88% | Jan 2026 | Lab model card | |
| 55 | o1-preview | 85.5% | Sep 2024 | Lab model card | |
| 56 | | 83.9% | Jan 2025 | Lab model card | |
| 57 | | 83.8% | May 2025 | Lab model card | |
| 58 | | 83% | Jan 2025 | Lab model card | |
| 59 | Mercury | 83% | Jun 2025 | Lab model card | |
| 60 | | 82% | Apr 2025 | Lab model card | |
| 61 | | 81.6% | Oct 2026 | Lab model card | |
| 62 | | 79.5% | Oct 2026 | Lab model card | |
| 63 | | 78.6% | Dec 2025 | Lab model card | |
| 64 | LFM2-8B-A1B | 74.2% | Oct 2025 | Lab model card | |
| 65 | | 71.8% | Mar 2025 | Lab model card | |
| 66 | Granite 3.3 8B Instruct | 69% | Apr 2025 | Lab model card | |
| 67 | | 43.4% | Apr 2025 | Lab model card | |
| 68 | LFM2-1.2B | 42.4% | Nov 2025 | Lab model card | |
| 69 | | 18.4% | Sep 2023 | Lab model card | |
| 70 | | 6.80% | Sep 2023 | Lab model card |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 96.4% | Vals AI harness | Nov 2025 | Official leaderboard |
| 2 | Grok 4 | 96.2% | Vals AI harness | Jul 2025 | Official leaderboard |
| 3 | GPT-5 | 96% | Vals AI harness | Aug 2025 | Official leaderboard |
| 4 | Claude Opus 4.1 | 95.4% | Vals AI harness | Aug 2025 | Official leaderboard |
| 5 | | 95.2% | Vals AI harness | Jun 2025 | Official leaderboard |
| 6 | gpt-oss-120b | 94.8% | Vals AI harness | Aug 2025 | Official leaderboard |
| 7 | GPT-5 mini | 94.8% | Vals AI harness | Aug 2025 | Official leaderboard |
| 8 | o3 | 94.6% | Vals AI harness | Apr 2025 | Official leaderboard |
| 9 | | 94.6% | Vals AI harness | Apr 2025 | Official leaderboard |
| 10 | Grok-3 mini | 94.2% | Vals AI harness | Apr 2025 | Official leaderboard |
| 11 | o4-mini | 94.2% | Vals AI harness | Apr 2025 | Official leaderboard |
| 12 | Kimi K2 Jul 2025 | 94.2% | Vals AI harness | Jul 2025 | Official leaderboard |
| 13 | gpt-oss-20b | 94.2% | Vals AI harness | Aug 2025 | Official leaderboard |
| 14 | GLM-4.5 | 94% | Vals AI harness | Aug 2025 | Official leaderboard |
| 15 | Claude Sonnet 4 | 93.8% | Vals AI harness | May 2025 | Official leaderboard |
| 16 | GPT-5 nano | 93.8% | Vals AI harness | Aug 2025 | Official leaderboard |
| 17 | | 92.2% | Vals AI harness | May 2025 | Official leaderboard |
| 18 | o3-mini | 91.8% | Vals AI harness | Jan 2025 | Official leaderboard |
| 19 | | 91.8% | Vals AI harness | Apr 2025 | Official leaderboard |
| 20 | Claude 3.7 Sonnet | 91.6% | Vals AI harness | Feb 2025 | Official leaderboard |
| 21 | o1 | 90.4% | Vals AI harness | Dec 2024 | Official leaderboard |
| 22 | Claude Opus 4 | 90.4% | Vals AI harness | May 2025 | Official leaderboard |
| 23 | Grok 3 | 89.8% | Vals AI harness | Apr 2025 | Official leaderboard |
| 24 | | 89% | Vals AI harness | Feb 2025 | Official leaderboard |
| 25 | | 89% | Vals AI harness | Dec 2025 | Official leaderboard |
| 26 | | 88.6% | Vals AI harness | Mar 2025 | Official leaderboard |
| 27 | GPT-4.1 mini | 88% | Vals AI harness | Apr 2025 | Official leaderboard |
| 28 | GPT-4.1 | 87.2% | Vals AI harness | Apr 2025 | Official leaderboard |
| 29 | | 85.2% | Vals AI harness | Apr 2025 | Official leaderboard |
| 30 | | 84.6% | Vals AI harness | Jan 2025 | Official leaderboard |
| 31 | GPT-4.1 nano | 80.2% | Vals AI harness | Apr 2025 | Official leaderboard |
| 32 | | 79.2% | Vals AI harness | Apr 2025 | Official leaderboard |
| 33 | Grok-2 Dec 2024 | 78.4% | Vals AI harness | Dec 2024 | Official leaderboard |
| 34 | GPT-4o mini | 72.6% | Vals AI harness | Jul 2024 | Official leaderboard |
| 35 | Claude 3.5 Sonnet | 72.4% | Vals AI harness | Jun 2024 | Official leaderboard |
| 36 | Claude 3.5 Haiku | 64.2% | Vals AI harness | Oct 2024 | Official leaderboard |
| 37 | Jamba 1.6 Large | 54.8% | Vals AI harness | Mar 2025 | Official leaderboard |
| 38 | Jamba 1.6 Mini | 25.4% | Vals AI harness | Mar 2025 | Official leaderboard |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 99.2% | Sep 2025 | Lab model card | |
| 2 | Sarvam 105B | 98.6% | Mar 2026 | Lab model card | |
| 3 | | 98.6% | Nov 2025 | Lab model card | |
| 4 | GLM-4.5 | 98.2% | Jul 2025 | Lab model card | |
| 5 | GLM-4.5-Air | 98.1% | Aug 2025 | Lab model card | |
| 6 | INTELLECT-3 | 98.1% | Nov 2025 | Lab model card | |
| 7 | | 98% | Apr 2025 | Lab model card | |
| 8 | | 98% | May 2025 | Lab model card | |
| 9 | | 98% | Aug 2025 | Lab model card | |
| 10 | o3-mini | 97.9% | Jan 2025 | Lab model card | |
| 11 | nvidia-nemotron-nano-9b-v2 | 97.8% | Aug 2025 | Lab model card | |
| 12 | | 97.6% | Oct 2025 | Lab model card | |
| 13 | | 97.4% | May 2025 | Lab model card | |
| 14 | Kimi K2 Jul 2025 | 97.4% | Jul 2025 | Lab model card | |
| 15 | | 97.4% | Jul 2025 | Lab model card | |
| 16 | | 97.4% | Jan 2026 | Lab model card | |
| 17 | | 97.3% | Jan 2025 | Lab model card | |
| 18 | | 97.2% | May 2025 | Lab model card | |
| 19 | | 97% | Apr 2025 | Lab model card | |
| 20 | | 97% | May 2025 | Lab model card | |
| 21 | Sarvam 30B | 97% | Mar 2026 | Lab model card | |
| 22 | | 96.9% | Nov 2025 | Lab model card | |
| 23 | | 96.8% | May 2025 | Lab model card | |
| 24 | | 96.8% | Jun 2025 | Lab model card | |
| 25 | | 96.6% | Mar 2025 | Lab model card | |
| 26 | | 96.6% | Sep 2025 | Lab model card | |
| 27 | o1 | 96.4% | Dec 2024 | Lab model card | |
| 28 | | 96.4% | Jun 2025 | Lab model card | |
| 29 | | 96.4% | Aug 2025 | Lab model card | |
| 30 | | 96.4% | Vals AI harness | Nov 2025 | Official leaderboard |
| 31 | Hermes 4 405B | 96.3% | Aug 2025 | Lab model card | |
| 32 | Kimi k1.5 | 96.2% | Jan 2025 | Lab model card | |
| 33 | Claude 3.7 Sonnet | 96.2% | Feb 2025 | Lab model card | |
| 34 | | 96.2% | Mar 2025 | Lab model card | |
| 35 | Grok 4 | 96.2% | Vals AI harness | Jul 2025 | Official leaderboard |
| 36 | LFM2.5-24B-A2B | 96% | Oct 2026 | Lab model card | |
| 37 | GPT-5 | 96% | Vals AI harness | Aug 2025 | Official leaderboard |
| 38 | | 95.9% | Jun 2025 | Lab model card | |
| 39 | MiMo-7B-RL | 95.8% | Apr 2025 | Lab model card | |
| 40 | | 95.7% | Mar 2025 | Lab model card | |
| 41 | | 95.4% | Jul 2025 | Lab model card | |
| 42 | Claude Opus 4.1 | 95.4% | Vals AI harness | Aug 2025 | Official leaderboard |
| 43 | | 95.4% | Mar 2026 | Lab model card | |
| 44 | | 95.2% | Vals AI harness | Jun 2025 | Official leaderboard |
| 45 | | 95% | Apr 2025 | Lab model card | |
| 46 | gpt-oss-120b | 94.8% | Vals AI harness | Aug 2025 | Official leaderboard |
| 47 | GPT-5 mini | 94.8% | Vals AI harness | Aug 2025 | Official leaderboard |
| 48 | o3 | 94.6% | Vals AI harness | Apr 2025 | Official leaderboard |
| 49 | | 94.6% | Apr 2025 | Lab model card | |
| 50 | | 94.5% | Jan 2025 | Lab model card | |
| 51 | | 94.3% | Jan 2025 | Lab model card | |
| 52 | | 94.3% | Jun 2025 | Lab model card | |
| 53 | Grok-3 mini | 94.2% | Vals AI harness | Apr 2025 | Official leaderboard |
| 54 | o4-mini | 94.2% | Vals AI harness | Apr 2025 | Official leaderboard |
| 55 | gpt-oss-20b | 94.2% | Vals AI harness | Aug 2025 | Official leaderboard |
| 56 | | 93.9% | Jan 2025 | Lab model card | |
| 57 | Claude Sonnet 4 | 93.8% | Vals AI harness | May 2025 | Official leaderboard |
| 58 | GPT-5 nano | 93.8% | Vals AI harness | Aug 2025 | Official leaderboard |
| 59 | Hermes 4.3 36B | 93.8% | Dec 2025 | Lab model card | |
| 60 | | 93.4% | May 2025 | Lab model card | |
| 61 | | 92.5% | Jul 2025 | Lab model card | |
| 62 | | 92.2% | Vals AI harness | May 2025 | Official leaderboard |
| 63 | | 92.1% | Dec 2025 | Lab model card | |
| 64 | | 91.8% | Vals AI harness | Apr 2025 | Official leaderboard |
| 65 | | 91% | May 2025 | Lab model card | |
| 66 | Reka Flash 3 | 90.6% | Mar 2025 | Lab model card | |
| 67 | Claude Opus 4 | 90.4% | Vals AI harness | May 2025 | Official leaderboard |
| 68 | | 90.2% | Dec 2024 | Lab model card | |
| 69 | Grok 3 | 89.8% | Vals AI harness | Apr 2025 | Official leaderboard |
| 70 | | 89% | Vals AI harness | Feb 2025 | Official leaderboard |
| 71 | | 89% | Vals AI harness | Dec 2025 | Official leaderboard |
| 72 | LFM2.5-8B-A1B | 88.8% | May 2026 | Lab model card | |
| 73 | | 88.6% | Vals AI harness | Mar 2025 | Official leaderboard |
| 74 | GPT-4.1 mini | 88% | Vals AI harness | Apr 2025 | Official leaderboard |
| 75 | LFM2.5-1.2B-Thinking | 88% | Jan 2026 | Lab model card | |
| 76 | GPT-4.1 | 87.2% | Vals AI harness | Apr 2025 | Official leaderboard |
| 77 | o1-preview | 85.5% | Sep 2024 | Lab model card | |
| 78 | | 85.2% | Vals AI harness | Apr 2025 | Official leaderboard |
| 79 | | 84.6% | Vals AI harness | Jan 2025 | Official leaderboard |
| 80 | | 83.9% | Jan 2025 | Lab model card | |
| 81 | | 83.8% | May 2025 | Lab model card | |
| 82 | | 83% | Jan 2025 | Lab model card | |
| 83 | Mercury | 83% | Jun 2025 | Lab model card | |
| 84 | | 82% | Apr 2025 | Lab model card | |
| 85 | | 81.6% | Oct 2026 | Lab model card | |
| 86 | GPT-4.1 nano | 80.2% | Vals AI harness | Apr 2025 | Official leaderboard |
| 87 | | 79.5% | Oct 2026 | Lab model card | |
| 88 | | 79.2% | Vals AI harness | Apr 2025 | Official leaderboard |
| 89 | | 78.6% | Dec 2025 | Lab model card | |
| 90 | Grok-2 Dec 2024 | 78.4% | Vals AI harness | Dec 2024 | Official leaderboard |
| 91 | LFM2-8B-A1B | 74.2% | Oct 2025 | Lab model card | |
| 92 | GPT-4o mini | 72.6% | Vals AI harness | Jul 2024 | Official leaderboard |
| 93 | Claude 3.5 Sonnet | 72.4% | Vals AI harness | Jun 2024 | Official leaderboard |
| 94 | | 71.8% | Mar 2025 | Lab model card | |
| 95 | Granite 3.3 8B Instruct | 69% | Apr 2025 | Lab model card | |
| 96 | Claude 3.5 Haiku | 64.2% | Vals AI harness | Oct 2024 | Official leaderboard |
| 97 | Jamba 1.6 Large | 54.8% | Vals AI harness | Mar 2025 | Official leaderboard |
| 98 | | 43.4% | Apr 2025 | Lab model card | |
| 99 | LFM2-1.2B | 42.4% | Nov 2025 | Lab model card | |
| 100 | Jamba 1.6 Mini | 25.4% | Vals AI harness | Mar 2025 | Official leaderboard |
| 101 | | 18.4% | Sep 2023 | Lab model card | |
| 102 | | 6.80% | Sep 2023 | Lab model card |
Vals AI’s leaderboard has 55 entries, 38 of them models we track. Switch the scores above to rank them together.
8 models have held number one in labs’ own numbers since its release in May 2023 10 models have held number one across all independent runs since its release in May 2023 10 models have held number one with claims included since its release in May 2023
Lab claims count from the day the card came out, independent runs from the model’s release. We draw one row each for Vals AI’s leaderboard and what labs claim in their cards.
Sources: Vals AI’s leaderboard and labs’ model cards
OpenAI’s own number for o1-preview passed 85% in September 2024
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Vals AI’s leaderboard and labs’ model cards
Labs headline it less often now, last in October 2026
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 |
|---|---|---|---|
| Oct 13, 2026 | LFM2.5-24B-A2B | 96 | MATH-500 |
| May 28, 2026 | LFM2.5-8B-A1B | 88.8 | MATH500 |
| Mar 16, 2026 | 95.4 | MATH500 (reasoning on) | |
| Mar 6, 2026 | Sarvam 30B | 97 | Math500 |
| Mar 6, 2026 | Sarvam 105B | 98.6 | Math500 |
| Jan 20, 2026 | LFM2.5-1.2B-Thinking | 88 | MATH-500 (± 0.72) |
| Dec 3, 2025 | Hermes 4.3 36B | 93.8 | MATH-500 |
| Dec 1, 2025 | 92.1 | Math-500 | |
| Nov 26, 2025 | INTELLECT-3 | 98.1 | MATH-500 |
| Nov 19, 2025 | 98.6 | MATH-500 | |
| Oct 31, 2025 | 97.6 | MATH500(acc) | |
| Oct 7, 2025 | LFM2-8B-A1B | 74.2 | MATH 500 |
| Sep 24, 2025 | 96.6 | Math-500 | |
| Sep 21, 2025 | 99.2 | MATH500(Mean@1) | |
| Aug 29, 2025 | 96.4 | MATH500(acc) | |
| Aug 26, 2025 | Hermes 4 405B | 96.3 | MATH-500 (reasoning) |
| Aug 25, 2025 | 98 | MATH500 | |
| Aug 18, 2025 | 97.8 | MATH500 | |
| Jul 28, 2025 | GLM-4.5 | 98.2 | MATH 500 |
| Jul 25, 2025 | 97.4 | MATH500 (pass@1, avg of 4) | |
| Jul 11, 2025 | Kimi K2 | 97.4 | MATH-500, Acc |
| Jul 10, 2025 | 95.4 | Math500 | |
| Jul 9, 2025 | 92.5 | Math500 | |
| Jun 30, 2025 | 96.4 | MATH-500 | |
| Jun 26, 2025 | Mercury | 83 | MATH-500 (% accuracy) |
| Jun 16, 2025 | 96.8 | MATH-500 | |
| May 20, 2025 | 83.8 | MATH-500 | |
| May 7, 2025 | 91 | Math500 Instruct 0-shot | |
| Apr 30, 2025 | 94.6 | MATH-500 | |
| Apr 30, 2025 | 82 | MATH-500 | |
| Apr 29, 2025 | MiMo-7B-RL | 95.8 | MATH-500 (Pass@1) |
| Apr 29, 2025 | 98 | MATH-500 | |
| Apr 16, 2025 | Granite 3.3 8B Instruct | 69 | MATH-500 |
| Apr 15, 2025 | 43.4 | MATH-500 | |
| Apr 7, 2025 | 97 | MATH500 (reasoning on) | |
| Apr 5, 2025 | 95 | MATH-500 | |
| Mar 24, 2025 | MATH-500 (Pass@1) | ||
| Mar 21, 2025 | 96.2 | MATH-500 | |
| Mar 18, 2025 | 95.7 | MATH-500 (pass@1) | |
| Mar 18, 2025 | 96.6 | MATH500 (reasoning on) | |
| Mar 16, 2025 | Math-500 | ||
| Mar 10, 2025 | Reka Flash 3 | 90.6 | MATH-500 |
| Feb 24, 2025 | Claude 3.7 Sonnet | 96.2 | Math problem-solving MATH 500 (64K extended thinking) |
| Jan 31, 2025 | o3-mini | 97.9 | Math (pass@1) |
| Jan 20, 2025 | Kimi k1.5 | 96.2 | MATH-500 (EM), long-CoT |
| Jan 20, 2025 | 97.3 | MATH-500 (Pass@1) | |
| Jan 13, 2025 | 83 | MATH-500(0-shot), Thinking Mode | |
| Dec 26, 2024 | 90.2 | MATH-500 (EM) | |
| Dec 17, 2024 | o1 | 96.4 | MATH (pass @1) |
| Sep 12, 2024 | o1-preview | 85.5 | MATH pass@1 (500-problem split) |
46 system cards report it, from 18 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 |
|---|---|---|---|---|
| Oct 15, 2026 | | 81.6 | MATH-500, 4-shot sampled pass@1, n=32, Table 6 | Capabilities |
| Oct 15, 2026 | | 79.5 | MATH-500, 4-shot sampled pass@1, n=32, Table 6 | Capabilities |
| Jan 5, 2026 | | 97.4 | MATH500 pass@1 (Table 4) | Capabilities |
| Dec 23, 2025 | | 78.6 | MATH-500, 4-shot avg@32, base model Table 2 | Capabilities |
| Nov 28, 2025 | LFM2-8B-A1B technical report | 74.2 | MATH 500, LFM2-8B-A1B (Table 7) | Capabilities |
| Nov 28, 2025 | LFM2-1.2B technical report | 42.4 | MATH 500, LFM2-1.2B (Table 6) | Capabilities |
| Nov 6, 2025 | | 96.9 | MATH-500, reasoning on, SFT stage 4 final model, mean of 4 runs (Table 6) | Capabilities |
| Oct 31, 2025 | | 97.6 | MATH500 (acc) (Table 13) | Capabilities |
| Sep 30, 2025 | | 96.6 | Math-500, pass@1 averaged over 20 samples (Table 12) | Capabilities |
| Sep 23, 2025 | | 99.2 | MATH-500(Mean@1) (Table 2) | Capabilities |
| Sep 1, 2025 | | 96.4 | MATH500 (acc) (Table 3) | Capabilities |
| Aug 25, 2025 | | 98 | MATH500 (Table 2) | Capabilities |
| Aug 25, 2025 | Hermes 4 405B technical report | 96.2 | MATH-500, reasoning mode (Table 3). Non-reasoning 73.8. v1 printed 96.3 | Capabilities |
| Aug 8, 2025 | GLM-4.5 technical report | 98.2 | MATH 500 (Table 4) | Capabilities |
| Aug 8, 2025 | GLM-4.5-Air technical report | 98.1 | MATH 500 (Table 4) | Capabilities |
| Jul 30, 2025 | | 83.8 | MATH-500 (Table 24) | Capabilities |
| Jul 21, 2025 | Kimi K2 technical report | 97.4 | MATH-500 (Acc.) (Table 3) | Capabilities |
| Jul 9, 2025 | | 92.5 | Math500, pass@1 averaged over 8 samples (Table 4) | Capabilities |
| Jun 29, 2025 | | 96.4 | MATH-500 (Table 5) | Capabilities |
| Jun 16, 2025 | | 96.8 | MATH-500 (Table 2) | Capabilities |
| Jun 12, 2025 | | 95.9 | MATH-500, SFT + RL (Magistral Small) column (Table 3) | Capabilities |
| Jun 12, 2025 | | 94.3 | MATH-500 (Table 2) | Capabilities |
| May 14, 2025 | | 97.4 | MATH-500, thinking mode (Table 17). Non-thinking 87.4 (Table 18) | Capabilities |
| May 14, 2025 | | 97 | MATH-500, thinking mode (Table 17). Non-thinking 84.8 (Table 18) | Capabilities |
| May 14, 2025 | | 97.2 | MATH-500, thinking mode (Table 13). Non-thinking 88.6 (Table 14) | Capabilities |
| May 14, 2025 | | 98 | MATH-500, thinking mode (Table 15). Non-thinking 89.8 (Table 16) | Capabilities |
| May 14, 2025 | | 98 | MATH-500, thinking mode (Table 11). Non-thinking 91.2 (Table 12) | Capabilities |
| May 14, 2025 | | 96.8 | MATH-500, thinking mode (Table 15). Non-thinking 90.0 (Table 16) | Capabilities |
| May 14, 2025 | | 93.4 | MATH-500, thinking mode (Table 19). Non-thinking 73.0 (Table 20) | Capabilities |
| May 12, 2025 | MiMo-7B-RL technical report | 95.8 | MATH500 (Pass@1) (Table 4, Table 5, Table 6) | Capabilities |
| May 2, 2025 | | 96.6 | MATH500, reasoning on, reasoning off 74.0 (Table 4) | Capabilities |
| May 2, 2025 | | 97 | MATH500, reasoning on, reasoning off 80.4 (Table 5) | Capabilities |
| Apr 30, 2025 | | 94.6 | MATH-500, pass@1 (Table 3) | Capabilities |
| Apr 30, 2025 | | 82 | MATH-500, 0-shot CoT, +/-3.4 (Table 1) | Capabilities |
| Apr 16, 2025 | | 43.4 | MATH-500 (0-shot; EM) (Table 1) | Capabilities |
| Mar 16, 2025 | | 95.7 | MATH-500, pass@1 with k=8 (Table 2) | Capabilities |
| Mar 3, 2025 | | 71.8 | MATH-500, Phi-4-Mini row of the CoT reasoning comparison (Table 9) | Capabilities |
| Jan 20, 2025 | Kimi k1.5 technical report | 96.2 | MATH-500 (EM), long-CoT (Table 2). Short-CoT 94.6 (Table 3) | Capabilities |
| Jan 20, 2025 | | 97.3 | MATH-500 (Pass@1), DeepSeek-R1 (Table 8, same as final column of Table 3) | Capabilities |
| Jan 20, 2025 | | 94.3 | MATH-500 pass@1, DeepSeek-R1-Distill-Qwen-32B (Table 15) | Capabilities |
| Jan 20, 2025 | | 93.9 | MATH-500 pass@1, DeepSeek-R1-Distill-Qwen-14B (Table 15) | Capabilities |
| Jan 20, 2025 | | 83.9 | MATH-500 pass@1, DeepSeek-R1-Distill-Qwen-1.5B (Table 15) | Capabilities |
| Jan 20, 2025 | | 94.5 | MATH-500 pass@1, DeepSeek-R1-Distill-Llama-70B (Table 15) | Capabilities |
| Dec 26, 2024 | | 90.2 | MATH-500 (EM), DeepSeek-V3 (Table 6) | Capabilities |
| Sep 28, 2023 | | 6.8 | MATH on the Lightman et al. (2023) test set, greedy decoding (Table 12) | Capabilities |
| Sep 28, 2023 | | 18.4 | MATH on the Lightman et al. (2023) test set, greedy decoding (Table 12) | Capabilities |
The lab's number comes out ahead in 6 of 6 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. Every benchmark.
| Model | Lab says | Board says | Gap |
|---|---|---|---|
| o3-mini | 97.9% Math (pass@1) | 91.8% Leaderboard, Vals AI harness | +6.1 pts |
| o1 | 96.4% MATH (pass @1) | 90.4% Leaderboard, Vals AI harness | +6.0 pts |
| Claude 3.7 Sonnet | 96.2% Math problem-solving MATH 500 (64K extended thinking) | 91.6% Leaderboard, Vals AI harness | +4.6 pts |
| GLM-4.5 | 98.2% MATH 500 | 94% Leaderboard, Vals AI harness | +4.2 pts |
| | 98% MATH-500 | 94.6% Leaderboard, Vals AI harness | +3.4 pts |
| Kimi K2 Jul 2025 | 97.4% MATH-500, Acc | 94.2% Leaderboard, Vals AI harness | +3.2 pts |
Versions
More in Math
- AIME 2026 In use Models solve the 30 integer-answer problems from the 2026 AIME I and II math competitions. Scored by exact answer match. GPT-5.5 100%
- IMO-AnswerBench In use 400 olympiad problems with short verifiable answers, robustified against memorization. Scored by answer match. GLM-5.2 91%
- 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%