HMMT 2025
Models answer the 30 problems from the February 2025 Harvard-MIT Mathematics Tournament. Final answers are checked against the official answers.
Model cards use the MathArena version of the February contest, often averaged over many samples.
- Level
- Competition The strongest students, in olympiad-style contests
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Short answer A number, word or short string matched to a key.
3 models share the top score of 100% among models released by Aug 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 Aug 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- GPT-6 Astra
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- and 16 more
- 100.0 GPT-5
- 100.0
Qwen3-Max
- 100.0 GPT-5.2 Pro
- 99.2
DeepSeek-V3.2-Speciale
- 98.4
Step 3.5 Flash
- 97.9 GLM-5
- 97.5
LongCat-Flash-Thinking-2601
- 97.3
Seed2.0 Pro
- 97.1 GLM-4.7
- 96.7 Grok 4 Heavy
- 96.7
Qwen 3.6 Plus
- 95.4 Kimi K2.5
- 94.8
Qwen3.5 397B-A17B
- 94.6
Nemotron-Cascade 2 30B-A3B
- 93.9 Grok 4
- 93.8
Qwen3.6 27B
- 93.7
Nemotron 3 Super
- 93.3 Grok 4 Fast
- 92.5
DeepSeek-V3.2
- 91.4
Qwen3.5-122B-A10B
- 90.7
Qwen 3.6 35B-A3B
- 89.7
Seed1.8
- 89.4 Kimi K2 Thinking
- 89.2 Granite 4.2 30B
- 87.8 GPT-5 mini
- 86.7
Ring-1T
- 85.8
Tencent HY 2.0 Think
- 85.8 Sarvam 105B
- 84.4 MiMo-V2-Flash
- 84.2
DeepSeek-V3.1
- 83.9
Qwen3-235B-A22B-Thinking
- 83.7
LongCat-Flash-Thinking
- 83.6
DeepSeek-V3.2-Exp
- 79.6
ERNIE 5.0
- 79.4
DeepSeek-R1
- 78.2
STEP3-VL-10B
- 77.4
Qwen3-VL-235B-A22B
- 75.6 GPT-5 nano
- 73.9
Qwen3-Next-80B-A3B
- 73.3
Solar Open 100B
- 73.3 Sarvam 30B
- 72.9
EXAONE 4.0 32B
- 70.2
qwen3-coder-next
- 70.0
Step 3
- 67.5
Ministral 3 14B
- 64.9
Falcon H1R 7B
- 53.6
Phi-4-Reasoning-plus
- 43.8
Phi-4-reasoning
- 38.8 Kimi K2
- 1 GPT-5 100%
- 2
Qwen3-Max 100%
- 3 GPT-5.2 Pro 100%
- 4
DeepSeek-V3.2-Speciale 99.2%
- 5
Step 3.5 Flash 98.4%
- 6 GLM-5 97.9%
- 7
LongCat-Flash-Thinking-2601 97.5%
- 8
Seed2.0 Pro 97.3%
- 9 GLM-4.7 97.1%
- 10 Grok 4 Heavy 96.7%
- 11
Qwen 3.6 Plus 96.7%
- 12 Kimi K2.5 95.4%
- 13
Qwen3.5 397B-A17B 94.8%
- 14
Nemotron-Cascade 2 30B-A3B 94.6%
- 15 Grok 4 93.9%
- 16
Qwen3.6 27B 93.8%
- 17
Nemotron 3 Super 93.7%
- 18 Grok 4 Fast 93.3%
- 19
DeepSeek-V3.2 92.5%
- 20
Qwen3.5-122B-A10B 91.4%
- 21
Qwen 3.6 35B-A3B 90.7%
- 22
Seed1.8 89.7%
- 23 Kimi K2 Thinking 89.4%
- 24 Granite 4.2 30B 89.2%
- 25 GPT-5 mini 87.8%
- 26
Ring-1T 86.7%
- 27
Tencent HY 2.0 Think 85.8%
- 28 Sarvam 105B 85.8%
- 29 MiMo-V2-Flash 84.4%
- 30
DeepSeek-V3.1 84.2%
- 31
Qwen3-235B-A22B-Thinking Jul 2025 83.9%
- 32
LongCat-Flash-Thinking 83.7%
- 33
DeepSeek-V3.2-Exp 83.6%
- 34
ERNIE 5.0 79.6%
- 35
DeepSeek-R1 79.4%
- 36
STEP3-VL-10B 78.2%
- 37
Qwen3-VL-235B-A22B 77.4%
- 38 GPT-5 nano 75.6%
- 39
Qwen3-Next-80B-A3B 73.9%
- 40
Solar Open 100B 73.3%
- 41 Sarvam 30B 73.3%
- 42
EXAONE 4.0 32B 72.9%
- 43
qwen3-coder-next 70.2%
- 44
Step 3 70%
- 45
Ministral 3 14B 67.5%
- 46
Falcon H1R 7B 64.9%
- 47
Phi-4-Reasoning-plus 53.6%
- 48
Phi-4-reasoning 43.8%
- 49 Kimi K2 Jul 2025 38.8%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-5 | 100% | Aug 2025 | Model card | |
| 2 | | 100% | Sep 2025 | Model card | |
| 3 | GPT-5.2 Pro | 100% | Dec 2025 | Model card | |
| 4 | | 99.2% | Dec 2025 | Model card | |
| 5 | | 98.4% | Feb 2026 | Model card | |
| 6 | GLM-5 | 97.9% | Feb 2026 | Model card | |
| 7 | | 97.5% | Jan 2026 | Model card | |
| 8 | | 97.3% | Feb 2026 | Model card | |
| 9 | GLM-4.7 | 97.1% | Dec 2025 | Model card | |
| 10 | Grok 4 Heavy | 96.7% | Jul 2025 | Model card | |
| 11 | | 96.7% | Apr 2026 | Model card | |
| 12 | Kimi K2.5 | 95.4% | Jan 2026 | Model card | |
| 13 | | 94.8% | Feb 2026 | Model card | |
| 14 | | 94.6% | Mar 2026 | Model card | |
| 15 | Grok 4 | 93.9% | Jul 2025 | Model card | |
| 16 | | 93.8% | Apr 2026 | Model card | |
| 17 | | 93.7% | Mar 2026 | Model card | |
| 18 | Grok 4 Fast | 93.3% | Sep 2025 | Model card | |
| 19 | | 92.5% | Dec 2025 | Model card | |
| 20 | | 91.4% | Feb 2026 | Model card | |
| 21 | | 90.7% | Apr 2026 | Model card | |
| 22 | | 89.7% | Dec 2025 | Model card | |
| 23 | Kimi K2 Thinking | 89.4% | Nov 2025 | Model card | |
| 24 | Granite 4.2 30B | 89.2% | Aug 2026 | Model card | |
| 25 | GPT-5 mini | 87.8% | Aug 2025 | Model card | |
| 26 | | 86.7% | Oct 2025 | Model card | |
| 27 | | 85.8% | Dec 2025 | Model card | |
| 28 | Sarvam 105B | 85.8% | Mar 2026 | Model card | |
| 29 | MiMo-V2-Flash | 84.4% | Dec 2025 | Model card | |
| 30 | | 84.2% | Aug 2025 | Model card | |
| 31 | | 83.9% | Jul 2025 | Model card | |
| 32 | | 83.7% | Sep 2025 | Model card | |
| 33 | | 83.6% | Sep 2025 | Model card | |
| 34 | | 79.6% | Feb 2026 | Model card | |
| 35 | | 79.4% | May 2025 | Model card | |
| 36 | | 78.2% | Jan 2026 | Model card | |
| 37 | | 77.4% | Sep 2025 | Model card | |
| 38 | GPT-5 nano | 75.6% | Aug 2025 | Model card | |
| 39 | | 73.9% | Sep 2025 | Model card | |
| 40 | | 73.3% | Dec 2025 | Model card | |
| 41 | Sarvam 30B | 73.3% | Mar 2026 | Model card | |
| 42 | | 72.9% | Jul 2025 | Model card | |
| 43 | | 70.2% | Feb 2026 | Model card | |
| 44 | | 70% | Jul 2025 | Model card | |
| 45 | | 67.5% | Jan 2026 | Model card | |
| 46 | | 64.9% | Jan 2026 | Model card | |
| 47 | | 53.6% | Apr 2025 | Model card | |
| 48 | | 43.8% | Apr 2025 | Model card | |
| 49 | Kimi K2 Jul 2025 | 38.8% | Jul 2025 | Model card |
The benchmark's own leaderboard has 53 models. We plot every source in the charts below.
The best score, 100%, costs $0.24 a task
Runs on the cost frontier score higher than any run that's cheaper. DeepSeek-V3.2-Speciale comes within 2.5 points of the best for $0.01 a task, 22 times cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| GPT-5.2 | xhigh | 100% | $0.24 | 17,003 | |
| GPT-5.2 | high | 98.3% | $0.16 | 11,164 | |
| | 98.3% | $0.01 | 47,820 | ||
| | 97.5% | $0.19 | 15,918 | ||
| | 97.5% | $0.01 | 25,870 | ||
| | 97.5% | $0.06 | 20,536 | ||
| GLM-5 | 97.5% | $0.09 | 28,926 | ||
| Grok 4 | 95% | $0.22 | 14,669 | ||
| GLM-4.6 | 93.3% | $0.05 | 21,480 | ||
| Kimi K2 Thinking | 93.3% | $0.07 | 28,389 | ||
| GPT-5.1 | high | 93.3% | $0.22 | 22,001 | |
| Kimi K2.5 | thinking | 93.3% | $0.08 | 26,862 | |
| | thinking | 92.5% | $0.007 | 17,382 | |
| Grok 4 Fast | 91.7% | $0.006 | 12,770 | ||
| gpt-oss-120b | high | 90% | $0.02 | 27,304 | |
| | thinking | 90% | $0.008 | 18,393 | |
| Grok 4.1 Fast | 90% | $0.007 | 13,404 | ||
| GPT-5 mini | high | 89.2% | $0.03 | 16,887 | |
| GPT-5 | high | 88.3% | $0.17 | 16,380 | |
| | thinking | 85.8% | $0.04 | 19,230 | |
| | 84.2% | $0.006 | 30,233 | ||
| o4-mini | high | 83.3% | $0.08 | 17,637 | |
| | 82.5% | $0.13 | 12,875 | ||
| | 80.8% | 3,623 | |||
| o3 | high | 77.5% | $0.12 | 13,786 | |
| GLM-4.5 | 77.5% | $0.06 | 25,438 | ||
| | 76.7% | $0.06 | 25,366 | ||
| gpt-oss-20b | high | 76.7% | $0.01 | 54,740 | |
| | 76.7% | 43,216 | |||
| Grok-3 mini | high | 74.2% | $0.01 | 21,000 | |
| GPT-5 nano | high | 74.2% | $0.01 | 36,743 | |
| GLM-4.5-Air | 69.2% | $0.03 | 27,720 | ||
| o3-mini | high | 67.5% | $0.08 | 17,660 | |
| o4-mini | medium | 67.5% | $0.03 | 7,298 | |
| Claude Sonnet 4.5 | thinking | 67.5% | $0.32 | 21,410 | |
| | 65% | ||||
| | thinking | 64.2% | $0.10 | 27,168 | |
| | 62.5% | $0.009 | 15,098 | ||
| Claude Opus 4 | thinking | 60% | $1.23 | 16,379 | |
| o3-mini | medium | 53.3% | $0.03 | 7,601 | |
| Grok-3 mini | low | 50.8% | $0.003 | 6,636 | |
| | 50.8% | $0.006 | 18,539 | ||
| o1 | medium | 48.3% | $0.89 | 14,835 | |
| | 47.5% | $0.02 | 16,152 | ||
| o4-mini | low | 47.5% | $0.01 | 2,663 | |
| | 41.7% | $0.03 | 12,817 | ||
| | 35.8% | 427 | |||
| | 33.3% | $0.007 | 11,898 | ||
| | 33.3% | $0.005 | 15,555 | ||
| | 31.7% | $0.002 | 15,559 | ||
| Claude 3.7 Sonnet | thinking | 31.7% | $0.39 | 25,902 | |
| | 29.2% | $0.005 | 4,216 | ||
| o3-mini | low | 28.3% | $0.01 | 2,661 | |
| | 18.3% | $0.01 | 9,531 | ||
| | 13.3% | $0.001 | 3,312 | ||
| | 13.3% | $0.003 | 2,453 | ||
| | 11.7% | $0.004 | 23,111 | ||
| | 7.50% | $0.01 | 2,252 | ||
| GPT-4o Mar 2025 | 5.83% | $0.008 | 769 | ||
| Claude 3.5 Sonnet | 1.67% | $0.008 | 528 |
6 models have held number one since its release in Feb 2025
Lab claims count from the day the card came out, independent runs from the model’s release. We draw one row each for the benchmark’s own leaderboard and what labs claim in their cards.
The best score passed 85% in Jul 2025
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs headline it less often now, last in Aug 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 |
|---|---|---|---|
| 25 Aug 2026 | Granite 4.2 30B | 89.2 | HMMT Feb25 |
| 22 Apr 2026 | 93.8 | HMMT Feb 25 | |
| 15 Apr 2026 | 90.7 | HMMT Feb 25 | |
| 2 Apr 2026 | 96.7 | HMMT Feb 25 | |
| 19 Mar 2026 | 94.6 | HMMT Feb25 | |
| 11 Mar 2026 | 93.7 | HMMT Feb25 (no tools) | |
| 6 Mar 2026 | Sarvam 30B | 73.3 | HMMT Feb 2025 |
| 6 Mar 2026 | Sarvam 105B | 85.8 | HMMT (Feb 25) |
| 24 Feb 2026 | 91.4 | HMMT Feb 25 | |
| 16 Feb 2026 | 94.8 | HMMT Feb 25 | |
| 14 Feb 2026 | 97.3 | HMMT Feb 2025 | |
| 6 Feb 2026 | 79.6 | HMMT 2025 | |
| 2 Feb 2026 | 98.4 | HMMT 2025 (Feb.) | |
| 27 Jan 2026 | Kimi K2.5 | 95.4 | HMMT 2025 (Feb) |
| 23 Jan 2026 | 98 | HMMT Feb 25 | |
| 14 Jan 2026 | 97.5 | Best of HMMT-25 (Avg@16) w/ tools 93.4 / Heavy Thinking 97.5 | |
| 13 Jan 2026 | 78.2 | HMMT 2025 (SeRe) | |
| 5 Jan 2026 | 64.9 | HMMT-25 | |
| 31 Dec 2025 | 73.3 | HMMT 2025 (Feb) | |
| 22 Dec 2025 | GLM-4.7 | 97.1 | HMMT Feb. 2025 |
| 18 Dec 2025 | 89.7 | HMMT25(Feb) | |
| 16 Dec 2025 | MiMo-V2-Flash | 84.4 | HMMT Feb. 2025 |
| 11 Dec 2025 | GPT-5.2 Pro | 100 | HMMT, Feb 2025 (no tools) |
| 5 Dec 2025 | 85.8 | HMMT2025 | |
| 1 Dec 2025 | 92.5 | HMMT Feb 2025 (Pass@1) | |
| 6 Nov 2025 | Kimi K2 Thinking | 89.4 | HMMT25, no tools |
| 10 Oct 2025 | 86.7 | HMMT 25 (pass@1) | |
| 29 Sep 2025 | 83.6 | HMMT 2025 | |
| 24 Sep 2025 | 100 | HMMT (Thinking Heavy w/ Python) | |
| 23 Sep 2025 | 77.4 | HMMT25 | |
| 21 Sep 2025 | 83.7 | HMMT25(Mean@32) | |
| 19 Sep 2025 | Grok 4 Fast | 93.3 | HMMT 2025 (no tools) pass@1 |
| 11 Sep 2025 | 73.9 | HMMT25 | |
| 21 Aug 2025 | 84.2 | HMMT 2025 (Pass@1) | |
| 7 Aug 2025 | GPT-5 nano | 75.6 | HMMT 2025 (no tools) |
| 7 Aug 2025 | GPT-5 mini | 87.8 | HMMT 2025 (no tools) |
| 7 Aug 2025 | GPT-5 | 100 | HMMT Harvard-MIT mathematics tournament, GPT-5 pro (python) |
| 31 Jul 2025 | 70 | HMMT25 | |
| 25 Jul 2025 | 83.9 | HMMT25 | |
| 15 Jul 2025 | 72.9 | HMMT Feb 2025 (reasoning) | |
| 11 Jul 2025 | Kimi K2 | 38.8 | HMMT 2025, Avg@32 |
| 9 Jul 2025 | Grok 4 | 93.9 | HMMT 2025, with Python (no tools 90.0) |
| 9 Jul 2025 | Grok 4 Heavy | 96.7 | HMMT 2025 (Competitive Math) [Grok 4 Heavy, Python] |
| 28 May 2025 | 79.4 | HMMT 2025 (Pass@1) |
25 system cards report it, from 16 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 |
|---|---|---|---|---|
| 21 Mar 2026 | | 89.7 | HMMT25(Feb) (Table 1). Avg@10, 96.7 with increased thinking (Table 7) | Capabilities |
| 19 Mar 2026 | | 94.6 | HMMT Feb25 (Table 1) | Capabilities |
| 11 Mar 2026 | | 93.7 | HMMT Feb25 (no tools), 94.73 with tools (Table 5) | Capabilities |
| 28 Feb 2026 | | 70.2 | HMMT25 Feb (Table 9) | Capabilities |
| 17 Feb 2026 | GLM-5 technical report | 97.9 | HMMT Feb. 2025 (Table 7) | Capabilities |
| 14 Feb 2026 | | 97.3 | HMMT Feb 2025 (Table 3) | Capabilities |
| 11 Feb 2026 | | 98.4 | HMMT 2025 Feb., avg of 64 (Table 5). PaCoRe 100.0, with Python 98.7 (Table 12) | Capabilities |
| 4 Feb 2026 | | 79.6 | HMMT 2025 (Table 2) | Capabilities |
| 30 Jan 2026 | Kimi K2.5 technical report | 95.4 | HMMT 2025 (Feb), Avg@64 (Table 4) | Capabilities |
| 23 Jan 2026 | | 97.5 | HMMT-25 (February) (Avg@16), w/ tools, heavy mode (Table 2). Default mode 93.4 | Capabilities |
| 14 Jan 2026 | | 78.2 | HMMT25, SeRe (Tables 2 and 3). PaCoRe 92.14 | Capabilities |
| 13 Jan 2026 | | 67.5 | HMMT 2025, reported as pass@16 (Table 5) | Capabilities |
| 11 Jan 2026 | | 73.3 | HMMT 2025 (Feb) (Table 6) | Capabilities |
| 6 Jan 2026 | MiMo-V2-Flash technical report | 84.4 | HMMT Feb. 2025 (Table 9) | Capabilities |
| 5 Jan 2026 | | 64.9 | HMMT25 pass@1 (Table 4) | Capabilities |
| 1 Dec 2025 | | 92.5 | HMMT Feb 2025 (Pass@1), DeepSeek-V3.2 Thinking (Table 2) | Capabilities |
| 1 Dec 2025 | | 99.2 | HMMT Feb 2025 (Pass@1), DeepSeek-V3.2-Speciale (Table 3) | Capabilities |
| 26 Nov 2025 | | 77.4 | HMMT-25 (Table 6) | Capabilities |
| 21 Oct 2025 | | 86.7 | HMMT25 (Avg@16) (Table 1) | Capabilities |
| 29 Sep 2025 | | 83.6 | HMMT 2025 (Pass@1), DeepSeek-V3.2-Exp (Table 1) | Capabilities |
| 23 Sep 2025 | | 83.7 | HMMT-25(Mean@32) (Table 2) | Capabilities |
| 21 Jul 2025 | Kimi K2 technical report | 38.8 | HMMT 2025 (Avg@32) (Table 3) | Capabilities |
| 15 Jul 2025 | | 72.9 | HMMT Feb 2025, n=32 (Table 3, Reasoning). Non-reasoning 21.8 (Table 4) | Capabilities |
| 30 Apr 2025 | | 43.8 | HMMT Feb 2025, average pass@1, MathArena scoring, std 6.2 (Table 1) | Capabilities |
| 30 Apr 2025 | | 53.6 | HMMT Feb 2025, average pass@1 over 64 runs, MathArena scoring (Table 1) | 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.
More in Math
- IMO-AnswerBench In use 400 olympiad problems with short verifiable answers, robustified against memorization. Scored by answer match. GLM-5.2 91%
- 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%
- 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%
- 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%
- USAMO 2026 In use Models write full proofs for the six problems of the 2026 USA Mathematical Olympiad. Judges grade each proof from 0 to 7 against rubrics. GPT-5.5 98.2%
- ArXivMath In use Final-answer research-level math problems extracted monthly from recent arXiv papers and filtered to be self-contained. GPT-6.1 Sol 94.2%