HMMT Nov 2025
Models solve the 30 problems of the November 2025 Harvard-MIT Mathematics Tournament. Final answers are checked automatically against the answer key.
- 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.
GPT-5.2 leads with 99.2% among models released by Feb 2026
Best score per model from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart.
The newest model with a score here came out in Feb 2026, and nobody has tested 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
- 99.2 GPT-5.2
- 94.2
Step 3.5 Flash
- 94.2 GLM-5
- 93.3
Gemini 3 Pro
- 93.3 Grok 4.1 Fast
- 93.3
DeepSeek-V3.2-Speciale
- 93.3
Gemini 3 Flash
- 91.7 GLM-4.6
- 91.7 GPT-5.1
- 90.8 Grok 4 Fast
- 90.0 gpt-oss-120b
- 90.0
DeepSeek-V3.2
- 89.2 GPT-5
- 89.2 Kimi K2 Thinking
- 89.2 Kimi K2.5
- 88.3 Grok 4
- 84.2 GPT-5 mini
- 84.2
DeepSeek-V3.2-Exp
- 81.7 GPT-5 nano
- 80.0
Gemini 2.5 Pro
- 79.2
Falcon H1R 7B
- 75.0
QED-Nano
- 1 GPT-5.2 xhigh 99.2%
- 2
Step 3.5 Flash 94.2%
- 3 GLM-5 94.2%
- 4
Gemini 3 Pro 93.3%
- 5 Grok 4.1 Fast 93.3%
- 6
DeepSeek-V3.2-Speciale 93.3%
- 7
Gemini 3 Flash 93.3%
- 8 GLM-4.6 91.7%
- 9 GPT-5.1 high 91.7%
- 10 Grok 4 Fast 90.8%
- 11 gpt-oss-120b high 90%
- 12
DeepSeek-V3.2 thinking 90%
- 13 GPT-5 high 89.2%
- 14 Kimi K2 Thinking 89.2%
- 15 Kimi K2.5 thinking 89.2%
- 16 Grok 4 88.3%
- 17 GPT-5 mini high 84.2%
- 18
DeepSeek-V3.2-Exp thinking 84.2%
- 19 GPT-5 nano high 81.7%
- 20
Gemini 2.5 Pro Jun 2025 80%
- 21
Falcon H1R 7B 79.2%
- 22
QED-Nano 75%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-5.2 | 99.2% | xhigh | Dec 2025 | Official leaderboard |
| 2 | | 94.2% | Feb 2026 | Official leaderboard | |
| 3 | GLM-5 | 94.2% | Feb 2026 | Official leaderboard | |
| 4 | | 93.3% | Nov 2025 | Official leaderboard | |
| 5 | Grok 4.1 Fast | 93.3% | Nov 2025 | Official leaderboard | |
| 6 | | 93.3% | Dec 2025 | Official leaderboard | |
| 7 | | 93.3% | Dec 2025 | Official leaderboard | |
| 8 | GLM-4.6 | 91.7% | Sep 2025 | Official leaderboard | |
| 9 | GPT-5.1 | 91.7% | high | Nov 2025 | Official leaderboard |
| 10 | Grok 4 Fast | 90.8% | Sep 2025 | Official leaderboard | |
| 11 | gpt-oss-120b | 90% | high | Aug 2025 | Official leaderboard |
| 12 | | 90% | thinking | Dec 2025 | Official leaderboard |
| 13 | GPT-5 | 89.2% | high | Aug 2025 | Official leaderboard |
| 14 | Kimi K2 Thinking | 89.2% | Nov 2025 | Official leaderboard | |
| 15 | Kimi K2.5 | 89.2% | thinking | Jan 2026 | Official leaderboard |
| 16 | Grok 4 | 88.3% | Jul 2025 | Official leaderboard | |
| 17 | GPT-5 mini | 84.2% | high | Aug 2025 | Official leaderboard |
| 18 | | 84.2% | thinking | Sep 2025 | Official leaderboard |
| 19 | GPT-5 nano | 81.7% | high | Aug 2025 | Official leaderboard |
| 20 | | 80% | Jun 2025 | Official leaderboard | |
| 21 | | 79.2% | Jan 2026 | Official leaderboard | |
| 22 | | 75% | Feb 2026 | Official leaderboard |
Labs report scores for 23 models in their cards. We plot every source in the charts below.
The best score, 99.2%, costs $0.19 a task
Runs on the cost frontier score higher than any run that's cheaper. Step 3.5 Flash comes within 5 points of the best for $0.01 a task, 14 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 | 99.2% | $0.19 | 13,192 | |
| GPT-5.2 | high | 95.8% | $0.14 | 10,015 | |
| | 94.2% | $0.01 | 45,001 | ||
| GLM-5 | 94.2% | $0.10 | 30,083 | ||
| | 93.3% | $0.18 | 14,837 | ||
| Grok 4.1 Fast | 93.3% | $0.005 | 10,401 | ||
| | 93.3% | $0.01 | 25,249 | ||
| | 93.3% | $0.06 | 20,413 | ||
| GLM-4.6 | 91.7% | $0.04 | 16,843 | ||
| GPT-5.1 | high | 91.7% | $0.20 | 19,593 | |
| Grok 4 Fast | 90.8% | $0.005 | 10,639 | ||
| gpt-oss-120b | high | 90% | $0.01 | 18,543 | |
| | thinking | 90% | $0.007 | 17,165 | |
| GPT-5 | high | 89.2% | $0.15 | 15,483 | |
| Kimi K2 Thinking | 89.2% | $0.07 | 28,752 | ||
| Kimi K2.5 | thinking | 89.2% | $0.08 | 26,085 | |
| Grok 4 | 88.3% | $0.22 | 14,792 | ||
| GPT-5 mini | high | 84.2% | $0.03 | 14,859 | |
| | thinking | 84.2% | $0.007 | 17,348 | |
| GPT-5 nano | high | 81.7% | $0.01 | 26,955 | |
| | 80% | $0.22 | 21,190 | ||
| | 79.2% | $0.006 | 28,381 | ||
| | 75% | 39,270 |
3 models have held number one since its release in Nov 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 Jun 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 |
|---|---|---|---|
| 16 Jun 2026 | GLM-5.2 | 94.4 | HMMT Nov. 2025 |
| 22 Apr 2026 | 90.7 | HMMT Nov 25 | |
| 15 Apr 2026 | 89.1 | HMMT Nov 25 | |
| 7 Apr 2026 | GLM-5.1 | 94 | HMMT Nov. 2025 |
| 2 Apr 2026 | 94.6 | HMMT Nov 25 | |
| 30 Mar 2026 | 84.4 | HMMT Nov 25 | |
| 6 Mar 2026 | Sarvam 30B | 74.2 | HMMT Nov 2025 |
| 6 Mar 2026 | Sarvam 105B | 85.8 | HMMT (Nov 25) |
| 24 Feb 2026 | 90.3 | HMMT Nov 25 | |
| 16 Feb 2026 | 92.7 | HMMT Nov 25 | |
| 14 Feb 2026 | 93.3 | HMMT Nov 2025 | |
| 11 Feb 2026 | GLM-5 | 96.9 | HMMT Nov. 2025 |
| 10 Feb 2026 | 98.3 | Best of HMMT (Nov. 25) (Mean@64) 97.34 / Heavy Thinking 98.33 | |
| 2 Feb 2026 | 94 | HMMT 2025 (Nov.) | |
| 23 Jan 2026 | 94.7 | HMMT Nov 25 | |
| 31 Dec 2025 | 80 | HMMT 2025 (Nov) | |
| 31 Dec 2025 | 86.8 | HMMT Nov 2025 | |
| 22 Dec 2025 | GLM-4.7 | 93.5 | HMMT Nov. 2025 |
| 1 Dec 2025 | 90.2 | HMMT Nov 2025 (Pass@1) |
11 system cards report it, from 9 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 |
|---|---|---|---|---|
| 13 Jun 2026 | | 81.9 | HMMT-Nov25, Mean@64, CoT (Table 5) | Capabilities |
| 17 Apr 2026 | | 84.4 | HMMT Nov 25 (Table 4) | Capabilities |
| 28 Feb 2026 | | 75.6 | HMMT25 Nov (Table 9) | Capabilities |
| 17 Feb 2026 | GLM-5 technical report | 96.9 | HMMT Nov. 2025 (Table 7) | Capabilities |
| 14 Feb 2026 | | 93.3 | HMMT Nov 2025 (Table 3) | Capabilities |
| 11 Feb 2026 | | 94 | HMMT 2025 Nov., avg of 64 (Table 5). PaCoRe 97.8, with Python 98.0 (Table 12) | Capabilities |
| 30 Jan 2026 | Kimi K2.5 technical report | 91.1 | HMMT Nov 2025, average 24k output tokens (Table 5) | Capabilities |
| 11 Jan 2026 | | 80 | HMMT 2025 (Nov) (Table 6) | Capabilities |
| 5 Jan 2026 | | 86.8 | HMMT Nov 2025 (Table 3, Reasoning mode). Non-reasoning 43.2 (Table 4) | Capabilities |
| 1 Dec 2025 | | 90.2 | HMMT Nov 2025 (Pass@1), DeepSeek-V3.2 Thinking (Table 2) | Capabilities |
| 1 Dec 2025 | | 94.4 | HMMT Nov 2025 (Pass@1), DeepSeek-V3.2-Speciale (Table 3) | Capabilities |
More in Math
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