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AIME
Can the model solve difficult problems that require more than factual recall?
Version / measure
- Domain
- Reasoning
- Ranked models
- 11
- Reported values
- 12
- Reports
- 2 · lab
- Direction
- Higher is better
- Status
- Version not specified
Rankings
Best reported score per model across effort settings
| # | Model | Best setting | Score |
|---|---|---|---|
| 1 | GLM-5.2Z.aiOW | maxcost n/a1 value · Jun 16 · source | 99.2% |
| 2 | GPT-5.5OpenAI | reportedcost n/a1 value · Jun 16 · source | 98.3% |
| 3 | Gemini 3.1 ProGoogle | reportedcost n/a2 values · Jun 16 · source | 98.2% |
| 4 | Qwen3.7-MaxQwen | reportedcost n/a1 value · Jun 16 · source | 97.0% |
| 5 | Kimi K3Moonshot AIOW | reportedcost n/a1 value · Apr 20 · source | 96.7% |
| 6 | Claude Opus 4.8Anthropic | reportedcost n/a1 value · Jun 16 · source | 95.7% |
| 7 | GLM-5.1Z.aiOW | reportedcost n/a1 value · Jun 16 · source | 95.3% |
| 8 | GPT-5.4OpenAI | xhighcost n/a1 value · Apr 20 · source | 95.0% |
| 9 | DeepSeek V4 ProDeepSeekOW | reportedcost n/a1 value · Jun 16 · source | 94.6% |
| 10 | Kimi K2.6Moonshot AIOW | thinkingcost n/a1 value · Apr 20 · source | 93.3% |
Effort curve
Score vs. reported cost. Lines connect complete sweeps only.
No cost-linked effort sweep for this version.
Definition and comparison boundarypublic methodology
Can the model solve difficult problems that require more than factual recall?
Multi-step reasoning on academic, mathematical, or abstract problems. Higher is better. The value is the percentage reported in this lab's table.
Harness, tools, prompts, attempt count, and benchmark version can materially change the result. Compare within one reporting context.
Method / source ↗