MathArena Apex Shortlist
Models solve 47 hard final-answer problems that MathArena selected from 2025 competitions, where the best models scored about 50% at selection. Scored by accuracy over repeated attempts.
MathArena picked the Apex Shortlist and the 12-problem Apex set together in August 2025.
- Made by
- ETH Zurich SRI Lab
- Released
- August 2025
- Kind
- Competition problems with answers
- Level
- Competition
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- All public
- Strongest model tested
- GPT-5.5 #20 on the capability index
- Last in a launch post
- October 2026
- Last model added
- October 2026
- Scores refreshed
- November 12th, 2026
GPT-5.5 leads with 98.4% among models released by July 2026
Best score per model from the benchmark's own 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.
GPT-5.5 leads with 98.4%, claims included
Best score per model from every source, including labs’ own numbers and claims Epoch AI collected from reports and papers. Labs pick their own settings, so a claim can beat an independent run of the same model.
The newest model with a score here came out in July 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 15 more
- 98.4 GPT-5.5
- 92.0
Gemini 3.1 Pro
- 92.0 Kimi K3
- 90.4 Claude Opus 4.8
- 89.4
DeepSeek-V4-Flash
- 87.8
DeepSeek-V4-Pro
- 86.7 Claude Opus 4.6
- 82.5
Gemini 3.5 Flash
- 81.4 GPT-5.4
- 79.3 GPT-5.2
- 77.1 Kimi K2.6
- 76.6
Step 3.7 Flash
- 71.8 GLM-5.1
- 71.3
Gemini 3.6 Flash
- 70.7
Step 3.5 Flash
- 69.7
DeepSeek-V3.2-Speciale
- 68.6
Gemini 3 Flash
- 68.6 GLM-5
- 68.1 GLM-5.2
- 66.5
Gemini 3 Pro
- 63.8 Claude Opus 4.7
- 60.1
Qwen3.5 397B-A17B
- 57.9 Grok 4.1 Fast
- 57.5 Grok 4
- 57.5 Kimi K2.5
- 57.5
Nemotron 3 Super
- 55.9 GPT-5.1
- 55.3 Grok 4 Fast
- 52.1
Qwen3.5-27B
- 50.5
DeepSeek-V3.2
- 47.3 Kimi K2 Thinking
- 45.2 gpt-oss-120b
- 44.7
Qwen3.5-35B-A3B
- 39.9 GPT-5 mini
- 29.8
Qwen3.5-9B
- 23.4
Qwen3-30B-A3B-Thinking
- 22.3
QED-Nano
- 16.5
Qwen3-4B-Thinking-2507
- 1 GPT-5.5 xhigh 98.4%
- 2
Gemini 3.1 Pro high 92%
- 3 Kimi K3 max 92%
- 4 Claude Opus 4.8 max 90.4%
- 5
DeepSeek-V4-Flash max 89.4%
- 6
DeepSeek-V4-Pro max 87.8%
- 7 Claude Opus 4.6 high 86.7%
- 8
Gemini 3.5 Flash high 82.5%
- 9 GPT-5.4 xhigh 81.4%
- 10 GPT-5.2 high 79.3%
- 11 Kimi K2.6 high 77.1%
- 12
Step 3.7 Flash high 76.6%
- 13 GLM-5.1 71.8%
- 14
Gemini 3.6 Flash 71.3%
- 15
Step 3.5 Flash 70.7%
- 16
DeepSeek-V3.2-Speciale 69.7%
- 17
Gemini 3 Flash high 68.6%
- 18 GLM-5 68.6%
- 19 GLM-5.2 max 68.1%
- 20
Gemini 3 Pro 66.5%
- 21 Claude Opus 4.7 xhigh 63.8%
- 22
Qwen3.5 397B-A17B 60.1%
- 23 Grok 4.1 Fast reasoning 57.9%
- 24 Grok 4 57.5%
- 25 Kimi K2.5 high 57.5%
- 26
Nemotron 3 Super 57.5%
- 27 GPT-5.1 high 55.9%
- 28 Grok 4 Fast 55.3%
- 29
Qwen3.5-27B 52.1%
- 30
DeepSeek-V3.2 thinking 50.5%
- 31 Kimi K2 Thinking 47.3%
- 32 gpt-oss-120b high 45.2%
- 33
Qwen3.5-35B-A3B 44.7%
- 34 GPT-5 mini high 39.9%
- 35
Qwen3.5-9B 29.8%
- 36
Qwen3-30B-A3B-Thinking Jul 2025 23.4%
- 37
QED-Nano 22.3%
- 38
Qwen3-4B-Thinking-2507 16.5%
Source: Official MathArena Apex Shortlist leaderboard
- 98.4 GPT-5.5
- 92.0
Gemini 3.1 Pro
- 92.0 Kimi K3
- 90.4 Claude Opus 4.8
- 90.2
DeepSeek-V4-Pro
- 89.4
DeepSeek-V4-Flash
- 88.4
Nemotron 3.5 Super VL
- 86.7 Claude Opus 4.6
- 82.5
Gemini 3.5 Flash
- 81.4 GPT-5.4
- 79.3 GPT-5.2
- 77.1 Kimi K2.6
- 76.6
Step 3.7 Flash
- 74.9
Nemotron 3 Ultra
- 71.8 GLM-5.1
- 71.3
Gemini 3.6 Flash
- 70.7
Step 3.5 Flash
- 69.7
DeepSeek-V3.2-Speciale
- 68.6
Gemini 3 Flash
- 68.6 GLM-5
- 68.1 GLM-5.2
- 66.5
Gemini 3 Pro
- 63.8 Claude Opus 4.7
- 60.1
Qwen3.5 397B-A17B
- 57.9 Grok 4.1 Fast
- 57.5 Grok 4
- 57.5 Kimi K2.5
- 57.5
Nemotron 3 Super
- 55.9 GPT-5.1
- 55.3 Grok 4 Fast
- 52.1
Qwen3.5-27B
- 50.5
DeepSeek-V3.2
- 47.3 Kimi K2 Thinking
- 45.2 gpt-oss-120b
- 44.7
Qwen3.5-35B-A3B
- 39.9 GPT-5 mini
- 29.8
Qwen3.5-9B
- 23.4
Qwen3-30B-A3B-Thinking
- 22.3
QED-Nano
- 16.5
Qwen3-4B-Thinking-2507
- 1 GPT-5.5 xhigh 98.4%
- 2
Gemini 3.1 Pro high 92%
- 3 Kimi K3 max 92%
- 4 Claude Opus 4.8 max 90.4%
- 5
DeepSeek-V4-Pro 90.2%
- 6
DeepSeek-V4-Flash max 89.4%
- 7
Nemotron 3.5 Super VL 88.4%
- 8 Claude Opus 4.6 high 86.7%
- 9
Gemini 3.5 Flash high 82.5%
- 10 GPT-5.4 xhigh 81.4%
- 11 GPT-5.2 high 79.3%
- 12 Kimi K2.6 high 77.1%
- 13
Step 3.7 Flash high 76.6%
- 14
Nemotron 3 Ultra 74.9%
- 15 GLM-5.1 71.8%
- 16
Gemini 3.6 Flash 71.3%
- 17
Step 3.5 Flash 70.7%
- 18
DeepSeek-V3.2-Speciale 69.7%
- 19
Gemini 3 Flash high 68.6%
- 20 GLM-5 68.6%
- 21 GLM-5.2 max 68.1%
- 22
Gemini 3 Pro 66.5%
- 23 Claude Opus 4.7 xhigh 63.8%
- 24
Qwen3.5 397B-A17B 60.1%
- 25 Grok 4.1 Fast reasoning 57.9%
- 26 Grok 4 57.5%
- 27 Kimi K2.5 high 57.5%
- 28
Nemotron 3 Super 57.5%
- 29 GPT-5.1 high 55.9%
- 30 Grok 4 Fast 55.3%
- 31
Qwen3.5-27B 52.1%
- 32
DeepSeek-V3.2 thinking 50.5%
- 33 Kimi K2 Thinking 47.3%
- 34 gpt-oss-120b high 45.2%
- 35
Qwen3.5-35B-A3B 44.7%
- 36 GPT-5 mini high 39.9%
- 37
Qwen3.5-9B 29.8%
- 38
Qwen3-30B-A3B-Thinking Jul 2025 23.4%
- 39
QED-Nano 22.3%
- 40
Qwen3-4B-Thinking-2507 16.5%
Sources: Official MathArena Apex Shortlist leaderboard and labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-5.5 | 98.4% | xhigh | Apr 2026 | Official leaderboard |
| 2 | | 92% | high | Feb 2026 | Official leaderboard |
| 3 | Kimi K3 | 92% | max | Jul 2026 | Official leaderboard |
| 4 | Claude Opus 4.8 | 90.4% | max | May 2026 | Official leaderboard |
| 5 | | 89.4% | max | Apr 2026 | Official leaderboard |
| 6 | | 87.8% | max | Apr 2026 | Official leaderboard |
| 7 | Claude Opus 4.6 | 86.7% | high | Feb 2026 | Official leaderboard |
| 8 | | 82.5% | high | May 2026 | Official leaderboard |
| 9 | GPT-5.4 | 81.4% | xhigh | Mar 2026 | Official leaderboard |
| 10 | GPT-5.2 | 79.3% | high | Dec 2025 | Official leaderboard |
| 11 | Kimi K2.6 | 77.1% | high | Apr 2026 | Official leaderboard |
| 12 | | 76.6% | high | May 2026 | Official leaderboard |
| 13 | GLM-5.1 | 71.8% | Apr 2026 | Official leaderboard | |
| 14 | | 71.3% | Jul 2026 | Official leaderboard | |
| 15 | | 70.7% | Feb 2026 | Official leaderboard | |
| 16 | | 69.7% | Dec 2025 | Official leaderboard | |
| 17 | | 68.6% | high | Dec 2025 | Official leaderboard |
| 18 | GLM-5 | 68.6% | Feb 2026 | Official leaderboard | |
| 19 | GLM-5.2 | 68.1% | max | Jun 2026 | Official leaderboard |
| 20 | | 66.5% | Nov 2025 | Official leaderboard | |
| 21 | Claude Opus 4.7 | 63.8% | xhigh | Apr 2026 | Official leaderboard |
| 22 | | 60.1% | Feb 2026 | Official leaderboard | |
| 23 | Grok 4.1 Fast | 57.9% | reasoning | Nov 2025 | Official leaderboard |
| 24 | Grok 4 | 57.5% | Jul 2025 | Official leaderboard | |
| 25 | Kimi K2.5 | 57.5% | high | Jan 2026 | Official leaderboard |
| 26 | | 57.5% | Mar 2026 | Official leaderboard | |
| 27 | GPT-5.1 | 55.9% | high | Nov 2025 | Official leaderboard |
| 28 | Grok 4 Fast | 55.3% | Sep 2025 | Official leaderboard | |
| 29 | | 52.1% | Feb 2026 | Official leaderboard | |
| 30 | | 50.5% | thinking | Dec 2025 | Official leaderboard |
| 31 | Kimi K2 Thinking | 47.3% | Nov 2025 | Official leaderboard | |
| 32 | gpt-oss-120b | 45.2% | high | Aug 2025 | Official leaderboard |
| 33 | | 44.7% | Feb 2026 | Official leaderboard | |
| 34 | GPT-5 mini | 39.9% | high | Aug 2025 | Official leaderboard |
| 35 | | 29.8% | Feb 2026 | Official leaderboard | |
| 36 | | 23.4% | Jul 2025 | Official leaderboard | |
| 37 | | 22.3% | Feb 2026 | Official leaderboard | |
| 38 | | 16.5% | Aug 2025 | Official leaderboard |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-5.5 | 98.4% | xhigh | Apr 2026 | Official leaderboard |
| 2 | | 92% | high | Feb 2026 | Official leaderboard |
| 3 | Kimi K3 | 92% | max | Jul 2026 | Official leaderboard |
| 4 | Claude Opus 4.8 | 90.4% | max | May 2026 | Official leaderboard |
| 5 | | 90.2% | Apr 2026 | Lab model card | |
| 6 | | 89.4% | max | Apr 2026 | Official leaderboard |
| 7 | | 88.4% | Oct 2026 | Lab model card | |
| 8 | Claude Opus 4.6 | 86.7% | high | Feb 2026 | Official leaderboard |
| 9 | | 82.5% | high | May 2026 | Official leaderboard |
| 10 | GPT-5.4 | 81.4% | xhigh | Mar 2026 | Official leaderboard |
| 11 | GPT-5.2 | 79.3% | high | Dec 2025 | Official leaderboard |
| 12 | Kimi K2.6 | 77.1% | high | Apr 2026 | Official leaderboard |
| 13 | | 76.6% | high | May 2026 | Official leaderboard |
| 14 | | 74.9% | Jun 2026 | Lab model card | |
| 15 | GLM-5.1 | 71.8% | Apr 2026 | Official leaderboard | |
| 16 | | 71.3% | Jul 2026 | Official leaderboard | |
| 17 | | 70.7% | Feb 2026 | Official leaderboard | |
| 18 | | 69.7% | Dec 2025 | Official leaderboard | |
| 19 | | 68.6% | high | Dec 2025 | Official leaderboard |
| 20 | GLM-5 | 68.6% | Feb 2026 | Official leaderboard | |
| 21 | GLM-5.2 | 68.1% | max | Jun 2026 | Official leaderboard |
| 22 | | 66.5% | Nov 2025 | Official leaderboard | |
| 23 | Claude Opus 4.7 | 63.8% | xhigh | Apr 2026 | Official leaderboard |
| 24 | | 60.1% | Feb 2026 | Official leaderboard | |
| 25 | Grok 4.1 Fast | 57.9% | reasoning | Nov 2025 | Official leaderboard |
| 26 | Grok 4 | 57.5% | Jul 2025 | Official leaderboard | |
| 27 | Kimi K2.5 | 57.5% | high | Jan 2026 | Official leaderboard |
| 28 | | 57.5% | Mar 2026 | Official leaderboard | |
| 29 | GPT-5.1 | 55.9% | high | Nov 2025 | Official leaderboard |
| 30 | Grok 4 Fast | 55.3% | Sep 2025 | Official leaderboard | |
| 31 | | 52.1% | Feb 2026 | Official leaderboard | |
| 32 | | 50.5% | thinking | Dec 2025 | Official leaderboard |
| 33 | Kimi K2 Thinking | 47.3% | Nov 2025 | Official leaderboard | |
| 34 | gpt-oss-120b | 45.2% | high | Aug 2025 | Official leaderboard |
| 35 | | 44.7% | Feb 2026 | Official leaderboard | |
| 36 | GPT-5 mini | 39.9% | high | Aug 2025 | Official leaderboard |
| 37 | | 29.8% | Feb 2026 | Official leaderboard | |
| 38 | | 23.4% | Jul 2025 | Official leaderboard | |
| 39 | | 22.3% | Feb 2026 | Official leaderboard | |
| 40 | | 16.5% | Aug 2025 | Official leaderboard |
Labs report scores for 4 models in their cards. Switch the scores above to rank them together.
The best score, 98.4%, costs $0.77 a task
Runs on the cost frontier score higher than any run that's cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
Source: Official MathArena Apex Shortlist leaderboard
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| GPT-5.5 | xhigh | 98.4% | $0.77 | 25,639 | |
| | high | 92% | $0.37 | 30,656 | |
| Kimi K3 | max | 92% | $0.66 | 44,231 | |
| Claude Opus 4.8 | max | 90.4% | $3.14 | 125,466 | |
| | max | 89.4% | $0.04 | 142,705 | |
| | max | 87.8% | $0.34 | 98,925 | |
| Claude Opus 4.6 | high | 86.7% | $1.80 | 71,911 | |
| | high | 82.5% | $0.26 | 29,307 | |
| GPT-5.4 | xhigh | 81.4% | $0.53 | 33,701 | |
| GPT-5.2 | high | 79.3% | $0.76 | 54,048 | |
| Kimi K2.6 | high | 77.1% | $0.27 | 68,577 | |
| | high | 76.6% | $0.06 | 207,503 | |
| GLM-5.1 | 71.8% | $0.24 | 73,757 | ||
| | 71.3% | $0.19 | 25,211 | ||
| | 70.7% | $0.04 | 129,842 | ||
| | 69.7% | $0.03 | 66,236 | ||
| | high | 68.6% | $0.09 | 31,434 | |
| GLM-5 | 68.6% | $0.22 | 68,201 | ||
| GLM-5.2 | max | 68.1% | $0.16 | 38,771 | |
| | 66.5% | $0.27 | 22,821 | ||
| Claude Opus 4.7 | xhigh | 63.8% | $1.83 | 72,956 | |
| | 60.1% | $0.14 | 39,424 | ||
| Grok 4.1 Fast | reasoning | 57.9% | $0.01 | 26,925 | |
| Grok 4 | 57.5% | $0.52 | 34,614 | ||
| Kimi K2.5 | high | 57.5% | $0.16 | 52,032 | |
| | 57.5% | 90,579 | |||
| GPT-5.1 | high | 55.9% | $0.57 | 57,017 | |
| Grok 4 Fast | 55.3% | $0.01 | 24,231 | ||
| | 52.1% | $0.15 | 60,409 | ||
| | thinking | 50.5% | $0.02 | 38,748 | |
| Kimi K2 Thinking | 47.3% | $0.14 | 57,238 | ||
| gpt-oss-120b | high | 45.2% | $0.03 | 42,972 | |
| | 44.7% | $0.09 | 65,307 | ||
| GPT-5 mini | high | 39.9% | $0.07 | 33,794 | |
| | 29.8% | $0.009 | 62,059 | ||
| | 23.4% | $0.01 | 32,111 | ||
| | 22.3% | 97,948 | |||
| | 16.5% | $0.01 | 32,631 |
7 models have held number one on the official leaderboard since its release in August 2025 7 models have held number one with claims included since its release in August 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.
Sources: Official MathArena Apex Shortlist leaderboard and labs’ model cards
Claude Opus 4.6 on the official leaderboard passed 85% in February 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official MathArena Apex Shortlist leaderboard and labs’ model cards
One lab put it in a launch post in the last six months
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 |
|---|---|---|---|
| Oct 15, 2026 | 88.4 | APEX shortlist | |
| Jun 4, 2026 | 74.9 | Apex-Shortlist (no tools); with tools 84.8 | |
| Apr 24, 2026 | 85.7 | Apex Shortlist (Pass@1), V4-Flash Max | |
| Apr 24, 2026 | 90.2 | Apex Shortlist (Pass@1) |
2 system cards report it, from 1 lab
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 |
|---|---|---|---|---|
| Oct 15, 2026 | | 88.4 | Apex-Shortlist, no tools, mean of 16 (Table 10) | Capabilities |
| Jun 9, 2026 | | 74.9 | Apex-Shortlist (no tools), 84.8 with tools (Table 10) | Capabilities |
The lab's number comes out ahead in 1 of 2 pairs that differ
Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. Every benchmark.
| Model | Lab says | Board says | Gap |
|---|---|---|---|
| | 85.7% Apex Shortlist (Pass@1), V4-Flash Max | 89.4% Leaderboard, max | −3.7 pts |
| | 90.2% Apex Shortlist (Pass@1) | 87.8% Leaderboard, max | +2.4 pts |
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