SMT 2025
Models answer 53 final-answer problems from the 2025 Stanford Math Tournament. MathArena scores the average accuracy over four attempts.
MathArena ran 44 models and later marked the set deprecated. MathArena did not run a 2026 edition.
- Released
- May 2025
- Kind
- Competition problems with answers
- Level
- Competition
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- All public
- Strongest model tested
- GPT-5.2 #50 on the capability index
- Last model added
- February 2026
- Scores refreshed
- November 12th, 2026
Gemini 3 Pro leads with 93.4% among models released by February 2026
Best score per model from MathArena’s leaderboard, read on November 12th, 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 February 2026, and nobody has tested 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
- 93.4
Gemini 3 Pro
- 92.9
Gemini 3 Flash
- 92.0 GPT-5
- 92.0 GPT-5.2
- 91.5
Step 3.5 Flash
- 91.0 Kimi K2 Thinking
- 91.0 GPT-5.1
- 91.0 GLM-5
- 90.6 GLM-4.6
- 90.6 Kimi K2.5
- 89.2 GPT-5 mini
- 89.2
DeepSeek-V3.2-Speciale
- 88.7 o4-mini
- 87.7 o3
- 87.7 gpt-oss-120b
- 87.7
DeepSeek-V3.2
- 85.8 Grok 4
- 85.8
Falcon H1R 7B
- 85.4 GPT-5 nano
- 84.9
Gemini 2.5 Pro
- 84.9
DeepSeek-V3.2-Exp
- 84.6 Grok 4.1 Fast
- 84.4 Grok 4 Fast
- 84.0
DeepSeek-V3.1
- 84.0 Claude Sonnet 4.5
- 83.0
DeepSeek-R1
- 83.0 gpt-oss-20b
- 82.1 GLM-4.5
- 79.7
K2-Think
- 79.7
QED-Nano
- 78.8 Grok-3 mini
- 77.4 GLM-4.5-Air
- 76.9
Qwen3-235B-A22B
- 75.5
Gemini 2.5 Flash
- 67.9
Qwen3-30B-A3B
- 67.0
DeepSeek-R1
- 60.9
DeepSeek-R1-Distill-Llama-70B
- 60.4
DeepSeek-R1-Distill-Qwen-32B
- 56.6 Claude 3.7 Sonnet
- 54.7
DeepSeek-R1-Distill-Qwen-14B
- 1
Gemini 3 Pro 93.4%
- 2
Gemini 3 Flash high 92.9%
- 3 GPT-5 high 92%
- 4 GPT-5.2 high 92%
- 5
Step 3.5 Flash 91.5%
- 6 Kimi K2 Thinking 91%
- 7 GPT-5.1 high 91%
- 8 GLM-5 91%
- 9 GLM-4.6 90.6%
- 10 Kimi K2.5 high 90.6%
- 11 GPT-5 mini high 89.2%
- 12
DeepSeek-V3.2-Speciale 89.2%
- 13 o4-mini high 88.7%
- 14 o3 high 87.7%
- 15 gpt-oss-120b high 87.7%
- 16
DeepSeek-V3.2 thinking 87.7%
- 17 Grok 4 85.8%
- 18
Falcon H1R 7B 85.8%
- 19 GPT-5 nano high 85.4%
- 20
Gemini 2.5 Pro Mar 2025 84.9%
- 21
DeepSeek-V3.2-Exp thinking 84.9%
- 22 Grok 4.1 Fast reasoning 84.6%
- 23 Grok 4 Fast 84.4%
- 24
DeepSeek-V3.1 thinking 84%
- 25 Claude Sonnet 4.5 thinking 84%
- 26
DeepSeek-R1 May 2025 83%
- 27 gpt-oss-20b high 83%
- 28 GLM-4.5 82.1%
- 29
K2-Think 79.7%
- 30
QED-Nano 79.7%
- 31 Grok-3 mini high 78.8%
- 32 GLM-4.5-Air 77.4%
- 33
Qwen3-235B-A22B 76.9%
- 34
Gemini 2.5 Flash Sep 2025, thinking 75.5%
- 35
Qwen3-30B-A3B 67.9%
- 36
DeepSeek-R1 67%
- 37
DeepSeek-R1-Distill-Llama-70B 60.9%
- 38
DeepSeek-R1-Distill-Qwen-32B 60.4%
- 39 Claude 3.7 Sonnet thinking 56.6%
- 40
DeepSeek-R1-Distill-Qwen-14B 54.7%
Source: MathArena’s leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 93.4% | Nov 2025 | Official leaderboard | |
| 2 | | 92.9% | high | Dec 2025 | Official leaderboard |
| 3 | GPT-5 | 92% | high | Aug 2025 | Official leaderboard |
| 4 | GPT-5.2 | 92% | high | Dec 2025 | Official leaderboard |
| 5 | | 91.5% | Feb 2026 | Official leaderboard | |
| 6 | Kimi K2 Thinking | 91% | Nov 2025 | Official leaderboard | |
| 7 | GPT-5.1 | 91% | high | Nov 2025 | Official leaderboard |
| 8 | GLM-5 | 91% | Feb 2026 | Official leaderboard | |
| 9 | GLM-4.6 | 90.6% | Sep 2025 | Official leaderboard | |
| 10 | Kimi K2.5 | 90.6% | high | Jan 2026 | Official leaderboard |
| 11 | GPT-5 mini | 89.2% | high | Aug 2025 | Official leaderboard |
| 12 | | 89.2% | Dec 2025 | Official leaderboard | |
| 13 | o4-mini | 88.7% | high | Apr 2025 | Official leaderboard |
| 14 | o3 | 87.7% | high | Apr 2025 | Official leaderboard |
| 15 | gpt-oss-120b | 87.7% | high | Aug 2025 | Official leaderboard |
| 16 | | 87.7% | thinking | Dec 2025 | Official leaderboard |
| 17 | Grok 4 | 85.8% | Jul 2025 | Official leaderboard | |
| 18 | | 85.8% | Jan 2026 | Official leaderboard | |
| 19 | GPT-5 nano | 85.4% | high | Aug 2025 | Official leaderboard |
| 20 | | 84.9% | Mar 2025 | Official leaderboard | |
| 21 | | 84.9% | thinking | Sep 2025 | Official leaderboard |
| 22 | Grok 4.1 Fast | 84.6% | reasoning | Nov 2025 | Official leaderboard |
| 23 | Grok 4 Fast | 84.4% | Sep 2025 | Official leaderboard | |
| 24 | | 84% | thinking | Aug 2025 | Official leaderboard |
| 25 | Claude Sonnet 4.5 | 84% | thinking | Sep 2025 | Official leaderboard |
| 26 | | 83% | May 2025 | Official leaderboard | |
| 27 | gpt-oss-20b | 83% | high | Aug 2025 | Official leaderboard |
| 28 | GLM-4.5 | 82.1% | Aug 2025 | Official leaderboard | |
| 29 | | 79.7% | Sep 2025 | Official leaderboard | |
| 30 | | 79.7% | Feb 2026 | Official leaderboard | |
| 31 | Grok-3 mini | 78.8% | high | Apr 2025 | Official leaderboard |
| 32 | GLM-4.5-Air | 77.4% | Jul 2025 | Official leaderboard | |
| 33 | | 76.9% | Apr 2025 | Official leaderboard | |
| 34 | | 75.5% | thinking | Sep 2025 | Official leaderboard |
| 35 | | 67.9% | Apr 2025 | Official leaderboard | |
| 36 | | 67% | Jan 2025 | Official leaderboard | |
| 37 | | 60.9% | Jan 2025 | Official leaderboard | |
| 38 | | 60.4% | Jan 2025 | Official leaderboard | |
| 39 | Claude 3.7 Sonnet | 56.6% | thinking | Feb 2025 | Official leaderboard |
| 40 | | 54.7% | Jan 2025 | Official leaderboard |
The best score, 93.4%, costs $0.17 a task
Runs on the cost frontier score higher than any run that's cheaper. DeepSeek-V3.2-Speciale comes within 4.3 points of the best for $0.009 a task, 19 times cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
Source: MathArena’s leaderboard
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| | 93.4% | $0.17 | 13,898 | ||
| | high | 92.9% | $0.06 | 18,434 | |
| GPT-5 | high | 92% | $0.12 | 11,731 | |
| GPT-5.2 | high | 92% | $0.13 | 9,214 | |
| | 91.5% | $0.01 | 39,239 | ||
| Kimi K2 Thinking | 91% | $0.05 | 21,526 | ||
| GPT-5.1 | high | 91% | $0.16 | 15,797 | |
| GLM-5 | 91% | $0.08 | 24,104 | ||
| GLM-4.6 | 90.6% | $0.03 | 15,207 | ||
| Kimi K2.5 | high | 90.6% | $0.07 | 23,585 | |
| GPT-5 mini | high | 89.2% | $0.02 | 12,000 | |
| | 89.2% | $0.009 | 20,448 | ||
| o4-mini | high | 88.7% | $0.04 | 10,276 | |
| o3 | high | 87.7% | $0.07 | 8,524 | |
| gpt-oss-120b | high | 87.7% | $0.01 | 18,349 | |
| | thinking | 87.7% | $0.006 | 14,361 | |
| Grok 4 | 85.8% | $0.18 | 12,194 | ||
| | 85.8% | $0.004 | 18,229 | ||
| GPT-5 nano | high | 85.4% | $0.02 | 38,582 | |
| | 84.9% | $0.19 | 18,603 | ||
| | thinking | 84.9% | $0.006 | 14,122 | |
| Grok 4.1 Fast | reasoning | 84.6% | $0.01 | 21,340 | |
| Grok 4 Fast | 84.4% | $0.005 | 9,219 | ||
| | thinking | 84% | $0.03 | 15,144 | |
| Claude Sonnet 4.5 | thinking | 84% | $0.24 | 15,966 | |
| | 83% | $0.04 | 20,491 | ||
| gpt-oss-20b | high | 83% | $0.007 | 35,182 | |
| GLM-4.5 | 82.1% | $0.05 | 21,383 | ||
| o4-mini | medium | 79.7% | $0.02 | 4,590 | |
| | 79.7% | ||||
| | 79.7% | 29,553 | |||
| Grok-3 mini | high | 78.8% | $0.009 | 17,682 | |
| GLM-4.5-Air | 77.4% | $0.03 | 23,047 | ||
| | 76.9% | $0.008 | 13,024 | ||
| | thinking | 75.5% | $0.08 | 21,599 | |
| o4-mini | low | 68.9% | $0.009 | 1,997 | |
| | 67.9% | $0.004 | 14,870 | ||
| | 67% | $0.02 | 10,323 | ||
| Grok-3 mini | low | 63.7% | $0.003 | 6,086 | |
| | 60.9% | $0.006 | 10,049 | ||
| | 60.4% | $0.007 | 11,380 | ||
| Claude 3.7 Sonnet | thinking | 56.6% | $0.34 | 22,813 | |
| | 54.7% | $0.004 | 12,399 |
3 models have held number one on MathArena’s leaderboard since its release in May 2025
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: MathArena’s leaderboard
O4-mini on the official leaderboard passed 85% in April 2025
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: MathArena’s leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
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