BRUMO 2025
Models answer the 30 final-answer problems of the 2025 Brown University Math Olympiad. MathArena scores the average accuracy over four attempts.
MathArena ran 45 models and later marked the set deprecated. MathArena did not run a 2026 edition.
- 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.
2 models share the top score of 100% 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
- 100.0
Gemini 3 Flash
- 100.0
Step 3.5 Flash
- 99.2
DeepSeek-V3.2-Speciale
- 99.2 GLM-5
- 98.3
Gemini 3 Pro
- 98.3 GPT-5.2
- 98.3 Kimi K2.5
- 97.5 Grok 4.1 Fast
- 96.7
DeepSeek-V3.2
- 95.8 o3
- 95.8 Grok 4 Fast
- 95.8
DeepSeek-V3.2-Exp
- 95.0 Grok 4
- 94.2 GLM-4.6
- 93.3 Kimi K2 Thinking
- 93.3 GPT-5.1
- 92.5
DeepSeek-R1
- 92.5 GLM-4.5
- 92.5 gpt-oss-120b
- 91.7 GPT-5
- 90.8 Claude Sonnet 4.5
- 90.0
Gemini 2.5 Pro
- 90.0 GLM-4.5-Air
- 90.0 GPT-5 mini
- 90.0
DeepSeek-V3.1
- 89.2
Gemini 2.5 Pro
- 87.5
QED-Nano
- 86.7 o4-mini
- 86.7
Qwen3-235B-A22B
- 86.7 gpt-oss-20b
- 85.8
Falcon H1R 7B
- 85.0 Grok-3 mini
- 83.3
K2-Think
- 83.3
Gemini 2.5 Flash
- 81.7 Claude Opus 4
- 80.8
DeepSeek-R1
- 80.8 GPT-5 nano
- 77.5
Qwen3-30B-A3B
- 68.3
DeepSeek-R1-Distill-Qwen-14B
- 68.3
DeepSeek-R1-Distill-Qwen-32B
- 66.7
DeepSeek-R1-Distill-Llama-70B
- 65.8 Claude 3.7 Sonnet
- 1
Gemini 3 Flash 100%
- 2
Step 3.5 Flash 100%
- 3
DeepSeek-V3.2-Speciale 99.2%
- 4 GLM-5 99.2%
- 5
Gemini 3 Pro 98.3%
- 6 GPT-5.2 high 98.3%
- 7 Kimi K2.5 thinking 98.3%
- 8 Grok 4.1 Fast 97.5%
- 9
DeepSeek-V3.2 thinking 96.7%
- 10 o3 high 95.8%
- 11 Grok 4 Fast 95.8%
- 12
DeepSeek-V3.2-Exp thinking 95.8%
- 13 Grok 4 95%
- 14 GLM-4.6 94.2%
- 15 Kimi K2 Thinking 93.3%
- 16 GPT-5.1 high 93.3%
- 17
DeepSeek-R1 May 2025 92.5%
- 18 GLM-4.5 92.5%
- 19 gpt-oss-120b high 92.5%
- 20 GPT-5 high 91.7%
- 21 Claude Sonnet 4.5 thinking 90.8%
- 22
Gemini 2.5 Pro Mar 2025 90%
- 23 GLM-4.5-Air 90%
- 24 GPT-5 mini high 90%
- 25
DeepSeek-V3.1 thinking 90%
- 26
Gemini 2.5 Pro May 2025 89.2%
- 27
QED-Nano 87.5%
- 28 o4-mini high 86.7%
- 29
Qwen3-235B-A22B 86.7%
- 30 gpt-oss-20b high 86.7%
- 31
Falcon H1R 7B 85.8%
- 32 Grok-3 mini high 85%
- 33
K2-Think 83.3%
- 34
Gemini 2.5 Flash Sep 2025, thinking 83.3%
- 35 Claude Opus 4 thinking 81.7%
- 36
DeepSeek-R1 80.8%
- 37 GPT-5 nano high 80.8%
- 38
Qwen3-30B-A3B 77.5%
- 39
DeepSeek-R1-Distill-Qwen-14B 68.3%
- 40
DeepSeek-R1-Distill-Qwen-32B 68.3%
- 41
DeepSeek-R1-Distill-Llama-70B 66.7%
- 42 Claude 3.7 Sonnet thinking 65.8%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 100% | Dec 2025 | Official leaderboard | |
| 2 | | 100% | Feb 2026 | Official leaderboard | |
| 3 | | 99.2% | Dec 2025 | Official leaderboard | |
| 4 | GLM-5 | 99.2% | Feb 2026 | Official leaderboard | |
| 5 | | 98.3% | Nov 2025 | Official leaderboard | |
| 6 | GPT-5.2 | 98.3% | high | Dec 2025 | Official leaderboard |
| 7 | Kimi K2.5 | 98.3% | thinking | Jan 2026 | Official leaderboard |
| 8 | Grok 4.1 Fast | 97.5% | Nov 2025 | Official leaderboard | |
| 9 | | 96.7% | thinking | Dec 2025 | Official leaderboard |
| 10 | o3 | 95.8% | high | Apr 2025 | Official leaderboard |
| 11 | Grok 4 Fast | 95.8% | Sep 2025 | Official leaderboard | |
| 12 | | 95.8% | thinking | Sep 2025 | Official leaderboard |
| 13 | Grok 4 | 95% | Jul 2025 | Official leaderboard | |
| 14 | GLM-4.6 | 94.2% | Sep 2025 | Official leaderboard | |
| 15 | Kimi K2 Thinking | 93.3% | Nov 2025 | Official leaderboard | |
| 16 | GPT-5.1 | 93.3% | high | Nov 2025 | Official leaderboard |
| 17 | | 92.5% | May 2025 | Official leaderboard | |
| 18 | GLM-4.5 | 92.5% | Aug 2025 | Official leaderboard | |
| 19 | gpt-oss-120b | 92.5% | high | Aug 2025 | Official leaderboard |
| 20 | GPT-5 | 91.7% | high | Aug 2025 | Official leaderboard |
| 21 | Claude Sonnet 4.5 | 90.8% | thinking | Sep 2025 | Official leaderboard |
| 22 | | 90% | Mar 2025 | Official leaderboard | |
| 23 | GLM-4.5-Air | 90% | Jul 2025 | Official leaderboard | |
| 24 | GPT-5 mini | 90% | high | Aug 2025 | Official leaderboard |
| 25 | | 90% | thinking | Aug 2025 | Official leaderboard |
| 26 | | 89.2% | May 2025 | Official leaderboard | |
| 27 | | 87.5% | Feb 2026 | Official leaderboard | |
| 28 | o4-mini | 86.7% | high | Apr 2025 | Official leaderboard |
| 29 | | 86.7% | Apr 2025 | Official leaderboard | |
| 30 | gpt-oss-20b | 86.7% | high | Aug 2025 | Official leaderboard |
| 31 | | 85.8% | Jan 2026 | Official leaderboard | |
| 32 | Grok-3 mini | 85% | high | Apr 2025 | Official leaderboard |
| 33 | | 83.3% | Sep 2025 | Official leaderboard | |
| 34 | | 83.3% | thinking | Sep 2025 | Official leaderboard |
| 35 | Claude Opus 4 | 81.7% | thinking | May 2025 | Official leaderboard |
| 36 | | 80.8% | Jan 2025 | Official leaderboard | |
| 37 | GPT-5 nano | 80.8% | high | Aug 2025 | Official leaderboard |
| 38 | | 77.5% | Apr 2025 | Official leaderboard | |
| 39 | | 68.3% | Jan 2025 | Official leaderboard | |
| 40 | | 68.3% | Jan 2025 | Official leaderboard | |
| 41 | | 66.7% | Jan 2025 | Official leaderboard | |
| 42 | Claude 3.7 Sonnet | 65.8% | thinking | Feb 2025 | Official leaderboard |
The best score, 100%, costs $0.008 a task
Runs on the cost frontier score higher than any run that's cheaper. Grok 4 Fast comes within 4.2 points of the best for $0.004 a task, about half the cost. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| | 100% | $0.05 | 15,190 | ||
| | 100% | $0.008 | 25,178 | ||
| | 99.2% | $0.007 | 17,472 | ||
| GLM-5 | 99.2% | $0.07 | 20,400 | ||
| | 98.3% | $0.15 | 12,732 | ||
| GPT-5.2 | high | 98.3% | $0.08 | 5,989 | |
| Kimi K2.5 | thinking | 98.3% | $0.06 | 20,245 | |
| Grok 4.1 Fast | 97.5% | $0.005 | 8,934 | ||
| | thinking | 96.7% | $0.005 | 12,968 | |
| o3 | high | 95.8% | $0.08 | 10,065 | |
| Grok 4 Fast | 95.8% | $0.004 | 7,517 | ||
| | thinking | 95.8% | $0.005 | 10,917 | |
| Grok 4 | 95% | $0.16 | 10,956 | ||
| GLM-4.6 | 94.2% | $0.03 | 13,740 | ||
| Kimi K2 Thinking | 93.3% | $0.05 | 19,263 | ||
| GPT-5.1 | high | 93.3% | $0.17 | 16,627 | |
| | 92.5% | $0.04 | 18,685 | ||
| GLM-4.5 | 92.5% | $0.04 | 19,732 | ||
| gpt-oss-120b | high | 92.5% | $0.01 | 18,200 | |
| GPT-5 | high | 91.7% | $0.11 | 10,760 | |
| Claude Sonnet 4.5 | thinking | 90.8% | $0.23 | 15,109 | |
| | 90% | $0.18 | 17,840 | ||
| GLM-4.5-Air | 90% | $0.02 | 20,348 | ||
| GPT-5 mini | high | 90% | $0.03 | 13,545 | |
| | thinking | 90% | $0.03 | 12,375 | |
| | 89.2% | 3,143 | |||
| | 87.5% | 31,439 | |||
| o4-mini | high | 86.7% | $0.04 | 7,492 | |
| | 86.7% | $0.007 | 12,185 | ||
| gpt-oss-20b | high | 86.7% | $0.007 | 34,029 | |
| | 85.8% | $0.004 | 19,481 | ||
| Grok-3 mini | high | 85% | $0.007 | 14,850 | |
| o4-mini | medium | 84.2% | $0.02 | 4,824 | |
| | 83.3% | ||||
| | thinking | 83.3% | $0.07 | 21,389 | |
| Claude Opus 4 | thinking | 81.7% | $0.98 | 12,974 | |
| | 80.8% | $0.02 | 9,086 | ||
| GPT-5 nano | high | 80.8% | $0.01 | 25,061 | |
| | 77.5% | $0.004 | 14,564 | ||
| | 68.3% | $0.002 | 10,864 | ||
| | 68.3% | $0.003 | 10,884 | ||
| | 66.7% | $0.006 | 9,313 | ||
| o4-mini | low | 66.7% | $0.008 | 1,874 | |
| Claude 3.7 Sonnet | thinking | 65.8% | $0.33 | 22,001 | |
| Grok-3 mini | low | 65.8% | $0.003 | 5,423 |
5 models have held number one since its release in Apr 2025
Lab claims count from the day the card came out, independent runs from the model’s release.
The best score passed 85% in Mar 2025
All the scores we have, one dot each, so a model tested at several settings appears more than once.
No lab model card reports it yet
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.
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