AIME 2024
Models solve the 30 problems of the 2024 AIME I and II. Answers are integers from 0 to 999, scored by exact match.
The problems and solutions were published in February 2024, so later training data can contain them.
- Released
- February 2024
- Kind
- Competition problems with answers
- Level
- Competition
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- All public
- Strongest model tested
- o3-pro #81 on the capability index
- Last in a launch post
- January 2026, dropped after it saturated
- Last model added
- February 2026
gpt-oss-120b leads with 96.6% among models released by February 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.
The newest model with a score here came out in February 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
- 96.6 gpt-oss-120b
- 96.0 gpt-oss-20b
- 95.8 Grok-3 mini
- 93.4 o4-mini
- 93.3 Grok 3
- 93.3
LongCat-Flash-Thinking
- 93.1
DeepSeek-V3.1
- 93.0 o3-pro
- 92.0
Gemini 2.5 Pro
- 91.8
Magistral Medium 1.2
- 91.7
seed-oss-36b-instruct
- 91.7
Solar Open 100B
- 91.6 o3
- 91.4
DeepSeek-R1
- 91.0 GLM-4.5
- 90.9
STEP3-VL-10B
- 90.8 INTELLECT-3
- 90.0
Magistral Medium 1.0
- 90.0
Seed1.6-Thinking
- 89.8
Ministral 3 14B
- 89.4 GLM-4.5-Air
- 89.0
Qwen3-Coder-Next
- 88.1
Falcon H1R 7B
- 88.0
Gemini 2.5 Flash
- 87.5
Llama-3.3-Nemotron-Super-49B-v1.5
- 87.3 o3-mini
- 87.3
Hunyuan-A13B-Instruct
- 86.7
Seed-Thinking-v1.5
- 86.1
Magistral Small 1.2
- 86.0
MiniMax-M1-80k
- 85.7
Qwen3-235B-A22B
- 84.7
InternVL3.5-241B-A28B
- 83.4
Baichuan-M2-32B
- 81.9 nvidia-nemotron-nano-9b-v2
- 81.9 Hermes 4 405B
- 81.4
Qwen3-32B
- 81.3
Phi-4-Reasoning-plus
- 80.8 GLM-Z1-32B-0414
- 80.8
Llama-3.1-Nemotron-Ultra-253B-v1
- 80.6
Olmo 3.1 32B Think
- 80.4
Qwen3-30B-A3B
- 80.0 Claude 3.7 Sonnet
- 79.8
DeepSeek-R1
- 79.3
Qwen3-14B
- 79.2 o1
- 78.8 INTELLECT-2
- 78.2
Hunyuan-T1
- 77.5 Kimi k1.5
- 76.8
Olmo 3 32B Think
- 76.5
Solar Pro 2
- 76.0
Qwen3-8B
- 76.0
Code World Model (CWM)
- 75.3
Phi-4-reasoning
- 73.8
Qwen3-4B
- 73.3
Gemini 2.0 Flash Thinking
- 72.9
LongCat-Flash-Omni
- 72.6
DeepSeek-R1-Distill-Qwen-32B
- 72.1
EXAONE Deep 32B
- 72.0
Magistral Medium 1.1
- 71.9 Hermes 4.3 36B
- 70.7
Magistral Small 1.0
- 70.5
Magistral Small 1.1
- 70.4
LongCat-Flash-Chat
- 70.0
DeepSeek-R1-Distill-Llama-70B
- 70.0 Reka Flash 3
- 69.7
DeepSeek-R1-Distill-Qwen-14B
- 69.6 Kimi K2
- 68.2 MiMo-7B-RL
- 67.5
Llama-3.3-Nemotron-Super-49B-v1
- 59.4
DeepSeek-V3
- 57.5
Phi-4-mini-reasoning
- 56.7 o1-preview
- 54.8
ERNIE-4.5-300B-A47B
- 52.3
Phi-4-mini-flash-reasoning
- 49.6 GPT-4.1 mini
- 48.3
Qwen3-1.7B
- 43.3
Hunyuan-TurboS
- 36.7 GPT-4.5
- 30.0 Mercury
- 29.4 GPT-4.1 nano
- 28.9
DeepSeek-R1-Distill-Qwen-1.5B
- 27.6 Claude 3.5 Sonnet (October 2024)
- 23.8
Falcon-H1-34B
- 23.3
Cohere Command A
- 20.0
InternLM3-8B-Instruct
- 10.0
Phi-4 Mini
- 8.12 Granite 3.3 8B Instruct
- 5.30 Claude 3.5 Haiku
- 1 gpt-oss-120b 96.6%
- 2 gpt-oss-20b 96%
- 3 Grok-3 mini 95.8%
- 4 o4-mini 93.4%
- 5 Grok 3 93.3%
- 6
LongCat-Flash-Thinking 93.3%
- 7
DeepSeek-V3.1 93.1%
- 8 o3-pro 93%
- 9
Gemini 2.5 Pro Mar 2025 92%
- 10
Magistral Medium 1.2 91.8%
- 11
seed-oss-36b-instruct 91.7%
- 12
Solar Open 100B 91.7%
- 13 o3 91.6%
- 14
DeepSeek-R1 May 2025 91.4%
- 15 GLM-4.5 91%
- 16
STEP3-VL-10B 90.9%
- 17 INTELLECT-3 90.8%
- 18
Magistral Medium 1.0 90%
- 19
Seed1.6-Thinking 90%
- 20
Ministral 3 14B 89.8%
- 21 GLM-4.5-Air 89.4%
- 22
Qwen3-Coder-Next 89%
- 23
Falcon H1R 7B 88.1%
- 24
Gemini 2.5 Flash Apr 2025 88%
- 25
Llama-3.3-Nemotron-Super-49B-v1.5 87.5%
- 26 o3-mini 87.3%
- 27
Hunyuan-A13B-Instruct 87.3%
- 28
Seed-Thinking-v1.5 86.7%
- 29
Magistral Small 1.2 86.1%
- 30
MiniMax-M1-80k 86%
- 31
Qwen3-235B-A22B 85.7%
- 32
InternVL3.5-241B-A28B 84.7%
- 33
Baichuan-M2-32B 83.4%
- 34 nvidia-nemotron-nano-9b-v2 81.9%
- 35 Hermes 4 405B 81.9%
- 36
Qwen3-32B 81.4%
- 37
Phi-4-Reasoning-plus 81.3%
- 38 GLM-Z1-32B-0414 80.8%
- 39
Llama-3.1-Nemotron-Ultra-253B-v1 80.8%
- 40
Olmo 3.1 32B Think 80.6%
- 41
Qwen3-30B-A3B 80.4%
- 42 Claude 3.7 Sonnet 80%
- 43
DeepSeek-R1 79.8%
- 44
Qwen3-14B 79.3%
- 45 o1 79.2%
- 46 INTELLECT-2 78.8%
- 47
Hunyuan-T1 78.2%
- 48 Kimi k1.5 77.5%
- 49
Olmo 3 32B Think 76.8%
- 50
Solar Pro 2 76.5%
- 51
Qwen3-8B 76%
- 52
Code World Model (CWM) 76%
- 53
Phi-4-reasoning 75.3%
- 54
Qwen3-4B 73.8%
- 55
Gemini 2.0 Flash Thinking Jan 2025 73.3%
- 56
LongCat-Flash-Omni 72.9%
- 57
DeepSeek-R1-Distill-Qwen-32B 72.6%
- 58
EXAONE Deep 32B 72.1%
- 59
Magistral Medium 1.1 72%
- 60 Hermes 4.3 36B 71.9%
- 61
Magistral Small 1.0 70.7%
- 62
Magistral Small 1.1 70.5%
- 63
LongCat-Flash-Chat 70.4%
- 64
DeepSeek-R1-Distill-Llama-70B 70%
- 65 Reka Flash 3 70%
- 66
DeepSeek-R1-Distill-Qwen-14B 69.7%
- 67 Kimi K2 Jul 2025 69.6%
- 68 MiMo-7B-RL 68.2%
- 69
Llama-3.3-Nemotron-Super-49B-v1 67.5%
- 70
DeepSeek-V3 59.4%
- 71
Phi-4-mini-reasoning 57.5%
- 72 o1-preview 56.7%
- 73
ERNIE-4.5-300B-A47B 54.8%
- 74
Phi-4-mini-flash-reasoning 52.3%
- 75 GPT-4.1 mini 49.6%
- 76
Qwen3-1.7B 48.3%
- 77
Hunyuan-TurboS 43.3%
- 78 GPT-4.5 36.7%
- 79 Mercury 30%
- 80 GPT-4.1 nano 29.4%
- 81
DeepSeek-R1-Distill-Qwen-1.5B 28.9%
- 82 Claude 3.5 Sonnet (October 2024) 27.6%
- 83
Falcon-H1-34B 23.8%
- 84
Cohere Command A 23.3%
- 85
InternLM3-8B-Instruct 20%
- 86
Phi-4 Mini 10%
- 87 Granite 3.3 8B Instruct 8.12%
- 88 Claude 3.5 Haiku 5.30%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | gpt-oss-120b | 96.6% | Aug 2025 | Lab model card | |
| 2 | gpt-oss-20b | 96% | Aug 2025 | Lab model card | |
| 3 | Grok-3 mini | 95.8% | Feb 2025 | Lab model card | |
| 4 | o4-mini | 93.4% | Apr 2025 | Lab model card | |
| 5 | Grok 3 | 93.3% | Feb 2025 | Lab model card | |
| 6 | | 93.3% | Sep 2025 | Lab model card | |
| 7 | | 93.1% | Aug 2025 | Lab model card | |
| 8 | o3-pro | 93% | Jun 2025 | Lab model card | |
| 9 | | 92% | Mar 2025 | Lab model card | |
| 10 | | 91.8% | Sep 2025 | Lab model card | |
| 11 | | 91.7% | Aug 2025 | Lab model card | |
| 12 | | 91.7% | Dec 2025 | Lab model card | |
| 13 | o3 | 91.6% | Apr 2025 | Lab model card | |
| 14 | | 91.4% | May 2025 | Lab model card | |
| 15 | GLM-4.5 | 91% | Jul 2025 | Lab model card | |
| 16 | | 90.9% | Jan 2026 | Lab model card | |
| 17 | INTELLECT-3 | 90.8% | Nov 2025 | Lab model card | |
| 18 | | 90% | Jun 2025 | Lab model card | |
| 19 | | 90% | Jun 2025 | Lab model card | |
| 20 | | 89.8% | Dec 2025 | Lab model card | |
| 21 | GLM-4.5-Air | 89.4% | Aug 2025 | Lab model card | |
| 22 | | 89% | Feb 2026 | Lab model card | |
| 23 | | 88.1% | Jan 2026 | Lab model card | |
| 24 | | 88% | Apr 2025 | Lab model card | |
| 25 | | 87.5% | Jul 2025 | Lab model card | |
| 26 | o3-mini | 87.3% | Jan 2025 | Lab model card | |
| 27 | | 87.3% | Jun 2025 | Lab model card | |
| 28 | | 86.7% | Apr 2025 | Lab model card | |
| 29 | | 86.1% | Sep 2025 | Lab model card | |
| 30 | | 86% | Jun 2025 | Lab model card | |
| 31 | | 85.7% | Apr 2025 | Lab model card | |
| 32 | | 84.7% | Aug 2025 | Lab model card | |
| 33 | | 83.4% | Aug 2025 | Lab model card | |
| 34 | nvidia-nemotron-nano-9b-v2 | 81.9% | Aug 2025 | Lab model card | |
| 35 | Hermes 4 405B | 81.9% | Aug 2025 | Lab model card | |
| 36 | | 81.4% | May 2025 | Lab model card | |
| 37 | | 81.3% | Apr 2025 | Lab model card | |
| 38 | GLM-Z1-32B-0414 | 80.8% | Apr 2025 | Lab model card | |
| 39 | | 80.8% | May 2025 | Lab model card | |
| 40 | | 80.6% | Dec 2025 | Lab model card | |
| 41 | | 80.4% | May 2025 | Lab model card | |
| 42 | Claude 3.7 Sonnet | 80% | Feb 2025 | Lab model card | |
| 43 | | 79.8% | Jan 2025 | Lab model card | |
| 44 | | 79.3% | May 2025 | Lab model card | |
| 45 | o1 | 79.2% | Dec 2024 | Lab model card | |
| 46 | INTELLECT-2 | 78.8% | May 2025 | Lab model card | |
| 47 | | 78.2% | Mar 2025 | Lab model card | |
| 48 | Kimi k1.5 | 77.5% | Jan 2025 | Lab model card | |
| 49 | | 76.8% | Nov 2025 | Lab model card | |
| 50 | | 76.5% | Jul 2025 | Lab model card | |
| 51 | | 76% | May 2025 | Lab model card | |
| 52 | | 76% | Sep 2025 | Lab model card | |
| 53 | | 75.3% | Apr 2025 | Lab model card | |
| 54 | | 73.8% | May 2025 | Lab model card | |
| 55 | | 73.3% | Jan 2025 | Lab model card | |
| 56 | | 72.9% | Oct 2025 | Lab model card | |
| 57 | | 72.6% | Jan 2025 | Lab model card | |
| 58 | | 72.1% | Mar 2025 | Lab model card | |
| 59 | | 72% | Jul 2025 | Lab model card | |
| 60 | Hermes 4.3 36B | 71.9% | Dec 2025 | Lab model card | |
| 61 | | 70.7% | Jun 2025 | Lab model card | |
| 62 | | 70.5% | Jul 2025 | Lab model card | |
| 63 | | 70.4% | Aug 2025 | Lab model card | |
| 64 | | 70% | Jan 2025 | Lab model card | |
| 65 | Reka Flash 3 | 70% | Mar 2025 | Lab model card | |
| 66 | | 69.7% | Jan 2025 | Lab model card | |
| 67 | Kimi K2 Jul 2025 | 69.6% | Jul 2025 | Lab model card | |
| 68 | MiMo-7B-RL | 68.2% | Apr 2025 | Lab model card | |
| 69 | | 67.5% | May 2025 | Lab model card | |
| 70 | | 59.4% | Mar 2025 | Lab model card | |
| 71 | | 57.5% | Apr 2025 | Lab model card | |
| 72 | o1-preview | 56.7% | Sep 2024 | Lab model card | |
| 73 | | 54.8% | Jun 2025 | Lab model card | |
| 74 | | 52.3% | Jul 2025 | Lab model card | |
| 75 | GPT-4.1 mini | 49.6% | Apr 2025 | Lab model card | |
| 76 | | 48.3% | May 2025 | Lab model card | |
| 77 | | 43.3% | Feb 2025 | Lab model card | |
| 78 | GPT-4.5 | 36.7% | Feb 2025 | Lab model card | |
| 79 | Mercury | 30% | Jun 2025 | Lab model card | |
| 80 | GPT-4.1 nano | 29.4% | Apr 2025 | Lab model card | |
| 81 | | 28.9% | Jan 2025 | Lab model card | |
| 82 | Claude 3.5 Sonnet (October 2024) | 27.6% | Oct 2024 | Lab model card | |
| 83 | | 23.8% | May 2025 | Lab model card | |
| 84 | | 23.3% | Apr 2025 | Lab model card | |
| 85 | | 20% | Jan 2025 | Lab model card | |
| 86 | | 10% | Mar 2025 | Lab model card | |
| 87 | Granite 3.3 8B Instruct | 8.12% | Apr 2025 | Lab model card | |
| 88 | Claude 3.5 Haiku | 5.30% | Oct 2024 | Lab model card |
6 models have held number one in labs’ own numbers since its release in February 2024
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Labs’ model cards
OpenAI’s own number for o3-mini passed 85% in January 2025
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs headline it less often now, last in January 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 |
|---|---|---|---|
| Jan 5, 2026 | 88.1 | AIME-24 | |
| Dec 31, 2025 | 91.7 | AIME 2024 | |
| Dec 12, 2025 | 80.6 | AIME 2024 | |
| Dec 3, 2025 | Hermes 4.3 36B | 71.9 | AIME 24 |
| Dec 2, 2025 | 89.8 | AIME24 0.898 (reasoning) | |
| Nov 26, 2025 | INTELLECT-3 | 90.8 | AIME24 |
| Nov 20, 2025 | 76.8 | AIME 2024 | |
| Oct 31, 2025 | 72.9 | AIME24(avg@10) | |
| Sep 24, 2025 | 76 | AIME24 | |
| Sep 21, 2025 | 93.3 | AIME24(Mean@32) | |
| Sep 17, 2025 | 86.1 | AIME24 pass@1 | |
| Sep 17, 2025 | 91.8 | AIME24 pass@1 | |
| Aug 29, 2025 | 70.4 | AIME24(avg@10) | |
| Aug 26, 2025 | Hermes 4 405B | 81.9 | AIME'24 (reasoning) |
| Aug 25, 2025 | 84.7 | AIME24 | |
| Aug 21, 2025 | 93.1 | AIME 2024 (Pass@1) | |
| Aug 20, 2025 | 91.7 | AIME24 | |
| Aug 10, 2025 | 83.4 | AIME24 | |
| Aug 5, 2025 | gpt-oss-20b | 96 | AIME 2024 (tools) |
| Aug 5, 2025 | gpt-oss-120b | 96.6 | AIME 2024 (tools) |
| Jul 28, 2025 | GLM-4.5 | 91 | AIME24 |
| Jul 25, 2025 | 87.5 | AIME 2024 (pass@1, avg of 16) | |
| Jul 24, 2025 | 70.5 | AIME24 pass@1 | |
| Jul 24, 2025 | 72 | AIME24 pass@1 | |
| Jul 11, 2025 | Kimi K2 | 69.6 | AIME 2024, Avg@64 |
| Jul 10, 2025 | 76.5 | AIME'24 pass@1 | |
| Jul 9, 2025 | 52.3 | AIME24 | |
| Jun 30, 2025 | 54.8 | AIME'24 | |
| Jun 27, 2025 | 87.3 | AIME 2024 | |
| Jun 26, 2025 | Mercury | 30 | AIME 2024 (% accuracy) |
| Jun 25, 2025 | 90 | AIME2024 | |
| Jun 16, 2025 | 86 | AIME 2024 | |
| Jun 10, 2025 | 70.7 | AIME24 pass@1 | |
| Jun 10, 2025 | o3-pro | 93 | Competition Math (AIME 2024), pass@1 |
| Jun 10, 2025 | 90 | AIME-24 (maj@64; maj@4 = 81.3, pass@1 = 73.6) | |
| May 28, 2025 | 91.4 | AIME 2024 (Pass@1) | |
| May 20, 2025 | 23.8 | AIME-24 | |
| May 11, 2025 | INTELLECT-2 | 78.8 | AIME24 |
| Apr 30, 2025 | 75.3 | AIME 24 | |
| Apr 30, 2025 | 81.3 | AIME 24 | |
| Apr 29, 2025 | MiMo-7B-RL | 68.2 | AIME 2024 (Pass@1) |
| Apr 29, 2025 | 85.7 | AIME’24 | |
| Apr 17, 2025 | 88 | AIME 2024 single attempt | |
| Apr 16, 2025 | o4-mini | 93.4 | AIME 2024 (no tools) |
| Apr 16, 2025 | Granite 3.3 8B Instruct | 8.12 | AIME24 |
| Apr 16, 2025 | o3 | 91.6 | AIME 2024 Competition Math, o3 (no tools) |
| Apr 14, 2025 | GPT-4.1 nano | 29.4 | AIME '24 |
| Apr 14, 2025 | GPT-4.1 mini | 49.6 | AIME '24 |
| Apr 14, 2025 | GLM-Z1-32B-0414 | 80.8 | AIME24 |
| Apr 10, 2025 | 86.7 | AIME 2024 | |
| Mar 25, 2025 | 92 | AIME 2024, single attempt (pass@1) | |
| Mar 24, 2025 | 59.4 | AIME | |
| Mar 21, 2025 | 78.2 | AIME 2024 | |
| Mar 18, 2025 | 72.1 | AIME 2024 pass@1 72.1 (cons@64 90.0) | |
| Mar 10, 2025 | Reka Flash 3 | 70 | AIME'24 (cons@64) |
| Mar 6, 2025 | AIME24 | ||
| Feb 27, 2025 | 43.3 | AIME2024 | |
| Feb 27, 2025 | GPT-4.5 | 36.7 | AIME '24 (math) |
| Feb 24, 2025 | Claude 3.7 Sonnet | 80 | High school math competition AIME 2024 (64K extended thinking, parallel test-time compute) |
| Feb 19, 2025 | Grok-3 mini | 95.8 | AIME'24 (cons@64; pass@1 = 89.5) [Grok 3 mini Think] |
| Feb 19, 2025 | Grok 3 | 93.3 | AIME'24 (cons@64; pass@1 = 83.9) |
| Jan 31, 2025 | o3-mini | 87.3 | Competition Math (AIME 2024) |
| Jan 21, 2025 | 73.3 | AIME2024 (Math) | |
| Jan 20, 2025 | Kimi k1.5 | 77.5 | AIME 2024 (Pass@1), long-CoT |
| Jan 20, 2025 | 79.8 | AIME 2024 (Pass@1) | |
| Jan 13, 2025 | 20 | AIME2024(0-shot), Thinking Mode | |
| Dec 26, 2024 | 39.2 | AIME 2024 (Pass@1) | |
| Dec 17, 2024 | o1 | 79.2 | AIME 2024 (pass @1) |
| Oct 22, 2024 | Claude 3.5 Sonnet (October 2024) | 27.6 | AIME 2024 (Maj@64 0-shot CoT) |
| Sep 12, 2024 | o1-preview | 56.7 | AIME (2024) cons@64 |
57 system cards report it, from 27 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 |
|---|---|---|---|---|
| Feb 28, 2026 | | 89 | AIME24 (Table 9) | Capabilities |
| Jan 14, 2026 | | 90.9 | AIME2024, SeRe (Tables 2 and 3). PaCoRe 93.33 | Capabilities |
| Jan 13, 2026 | | 89.8 | AIME 2024, reported as pass@16 (Table 5) | Capabilities |
| Jan 11, 2026 | | 91.7 | AIME 2024 (Table 6) | Capabilities |
| Jan 5, 2026 | | 88.1 | AIME24 pass@1 (Table 4). DeepConf@512 96.7 (Table 7) | Capabilities |
| Dec 18, 2025 | INTELLECT-3 technical report | 90.8 | AIME24, Avg@32 (Table 2, Appendix A.1) | Capabilities |
| Dec 15, 2025 | | 76.8 | AIME 2024, Avg@32, Final Think 3.0 column (Table 14) | Capabilities |
| Dec 15, 2025 | | 80.6 | AIME 2024, Avg@32 (Tables 1 and 14) | Capabilities |
| Oct 31, 2025 | | 72.9 | AIME24 (avg@10) (Table 13) | Capabilities |
| Sep 30, 2025 | | 76 | AIME24, pass@1 averaged over 20 samples (Table 12) | Capabilities |
| Sep 23, 2025 | | 93.3 | AIME-24(Mean@32) (Table 2) | Capabilities |
| Sep 2, 2025 | | 83.4 | AIME24, max_tokens 64k (Table 1) | Capabilities |
| Sep 1, 2025 | | 70.4 | AIME24 (avg@10) (Table 3) | Capabilities |
| Aug 25, 2025 | | 84.7 | AIME24 (Table 2). OpenCompass run gives 84.1 (Table 14) | Capabilities |
| Aug 25, 2025 | Hermes 4 405B technical report | 81.9 | AIME'24, reasoning mode (Table 3). Non-reasoning 11.4 | Capabilities |
| Aug 20, 2025 | | 81.9 | AIME24, NVIDIA-Nemotron-Nano-9B-v2 (Figure 1) | Capabilities |
| Aug 8, 2025 | GLM-4.5 technical report | 91 | AIME 24, Avg@32 (Table 4) | Capabilities |
| Aug 8, 2025 | GLM-4.5-Air technical report | 89.4 | AIME 24, Avg@32 (Table 4) | Capabilities |
| Aug 5, 2025 | gpt-oss-20b model card | 96 | AIME 2024 (with tools), high reasoning (no tools 92.1) (Table 3, Figure 1) | Capabilities |
| Aug 5, 2025 | gpt-oss-120b model card | 96.6 | AIME 2024 (with tools), high reasoning (no tools 95.8) (Table 3, Figure 1) | Capabilities |
| Jul 30, 2025 | | 23.8 | AIME-24, average accuracy over 16 repetitions (Table 24) | Capabilities |
| Jul 21, 2025 | Kimi K2 technical report | 69.6 | AIME 2024 (Avg@64) (Table 3) | Capabilities |
| Jul 9, 2025 | | 52.3 | AIME24, pass@1 averaged over 64 samples, 32K generation (Table 4) | Capabilities |
| Jun 29, 2025 | | 54.8 | AIME'24 (Table 5) | Capabilities |
| Jun 26, 2025 | | 87.3 | AIME2024, slow-thinking (Table 3). Fast-thinking 30.6 (Table 4) | Capabilities |
| Jun 16, 2025 | | 86 | AIME 2024, avg of 32 samples (Table 2) | Capabilities |
| Jun 12, 2025 | | 70.7 | AIME'24 pass@1, SFT + RL (Magistral Small) column (Table 3). maj@64 83.3 | Capabilities |
| Jun 12, 2025 | | 73.6 | AIME'24, pass@1 averaged over 64 runs (Table 2). maj@64 90.0 | Capabilities |
| May 14, 2025 | | 76 | AIME’24, thinking mode (Table 17). Non-thinking 29.1 (Table 18) | Capabilities |
| May 14, 2025 | | 73.8 | AIME’24, thinking mode (Table 17). Non-thinking 25.0 (Table 18) | Capabilities |
| May 14, 2025 | | 81.4 | AIME’24, thinking mode (Table 13). Non-thinking 31.0 (Table 14) | Capabilities |
| May 14, 2025 | | 80.4 | AIME’24, thinking mode (Table 15). Non-thinking 32.8 (Table 16) | Capabilities |
| May 14, 2025 | | 85.7 | AIME’24, thinking mode (Table 11). Non-thinking 40.1 (Table 12) | Capabilities |
| May 14, 2025 | | 79.3 | AIME’24, thinking mode (Table 15). Non-thinking 31.7 (Table 16) | Capabilities |
| May 14, 2025 | | 48.3 | AIME’24, thinking mode (Table 19). Non-thinking 13.4 (Table 20) | Capabilities |
| May 12, 2025 | MiMo-7B-RL technical report | 68.2 | AIME 2024 (Pass@1), average of 32 runs (Table 4, Table 5, Table 6) | Capabilities |
| May 12, 2025 | INTELLECT-2 technical report | 78.8 | AIME24, evalchemy defaults, target length 10,000 tokens (Table 1) | Capabilities |
| May 2, 2025 | | 67.5 | AIME24, reasoning on, reasoning off 16.7 (Table 4) | Capabilities |
| May 2, 2025 | | 80.8 | AIME24, reasoning on, reasoning off 20.0 (Table 5) | Capabilities |
| Apr 30, 2025 | | 74.6 | AIME 24, average pass@1, std 5.1 (Table 1) | Capabilities |
| Apr 30, 2025 | | 81.3 | AIME 24, average pass@1 over 5 runs (Table 1) | Capabilities |
| Apr 30, 2025 | | 57.5 | AIME (AIME24 per Section 5.1), pass@1 averaged over 3 runs (Table 3) | Capabilities |
| Apr 29, 2025 | | 88 | AIME 2024, single attempt (pass@1) (Table, p.4) | Capabilities |
| Apr 28, 2025 | | 92 | AIME 2024, single attempt pass@1 (Table, p.4, column Gemini 2.5 Pro Experimental 03-25) | Capabilities |
| Apr 10, 2025 | | 86.7 | AIME 2024, mean of 32 samples (Table 2) | Capabilities |
| Apr 1, 2025 | | 23.3 | AIME (2024) (Table 15) | Capabilities |
| Mar 16, 2025 | | 72.1 | AIME 2024, pass@1 with k=64, cons@64 90.0 (Table 2) | Capabilities |
| Mar 3, 2025 | | 10 | AIME 2024, Phi-4-Mini row of the CoT reasoning comparison (Table 9) | Capabilities |
| Jan 20, 2025 | Kimi k1.5 technical report | 77.5 | AIME 2024 (Pass@1), long-CoT (Table 2). Short-CoT 60.8 (Table 3) | Capabilities |
| Jan 20, 2025 | | 79.8 | AIME 2024 (Pass@1), DeepSeek-R1 (Table 8, same as final column of Table 3) | Capabilities |
| Jan 20, 2025 | | 72.6 | AIME 2024 pass@1, cons@64 83.3, DeepSeek-R1-Distill-Qwen-32B (Table 15) | Capabilities |
| Jan 20, 2025 | | 69.7 | AIME 2024 pass@1, cons@64 80.0, DeepSeek-R1-Distill-Qwen-14B (Table 15) | Capabilities |
| Jan 20, 2025 | | 28.9 | AIME 2024 pass@1, cons@64 52.7, DeepSeek-R1-Distill-Qwen-1.5B (Table 15) | Capabilities |
| Jan 20, 2025 | | 70 | AIME 2024 pass@1, cons@64 86.7, DeepSeek-R1-Distill-Llama-70B (Table 15) | Capabilities |
| Dec 26, 2024 | | 39.2 | AIME 2024 (Pass@1), DeepSeek-V3 (Table 6) | Capabilities |
| Oct 22, 2024 | Claude 3.5 Sonnet (October 2024) model card | 16 | AIME 2024, 0-shot CoT. Maj@64 0-shot CoT 27.6% (Table 7) | Capabilities |
| Oct 22, 2024 | Claude 3.5 Haiku model card | 5.3 | AIME 2024, 0-shot CoT. Maj@64 0-shot CoT 10.1% (Table 8) | Capabilities |
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
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