AIMEBrowse 296

AIME

Can the model solve difficult problems that require more than factual recall?

Version not specifiedExact reported variant
Reasoning11 ranked models12 reported values2 reportsHigher is better

Top rankings

One row per model, using its best reported score across effort settings.

11
RankModelBest scoreBest reported setting
1GLM-5.2Z.ai99.2%max effortZ.ai report1 value · 1 reportJun 16, 2026 · source
2GPT-5.5OpenAI98.3%Reported configurationZ.ai report1 value · 1 reportJun 16, 2026 · source
3Gemini 3.1 ProGoogle98.2%Reported configurationZ.ai report2 values · 2 reportsJun 16, 2026 · source
4Qwen3.7-MaxQwen97.0%Reported configurationZ.ai report1 value · 1 reportJun 16, 2026 · source
5Kimi K3Moonshot AI96.7%Reported configurationMoonshot AI report1 value · 1 reportApr 20, 2026 · source
6Claude Opus 4.8Anthropic95.7%Reported configurationZ.ai report1 value · 1 reportJun 16, 2026 · source
7GLM-5.1Z.ai95.3%Reported configurationZ.ai report1 value · 1 reportJun 16, 2026 · source
8GPT-5.4OpenAI95.0%xhigh effortMoonshot AI report1 value · 1 reportApr 20, 2026 · source
9DeepSeek V4 ProDeepSeek94.6%Reported configurationZ.ai report1 value · 1 reportJun 16, 2026 · source
10Kimi K2.6Moonshot AI93.3%thinking effortMoonshot AI report1 value · 1 reportApr 20, 2026 · source
11Claude Opus 4.6Anthropic92.8%max effortMoonshot AI report1 value · 1 reportApr 20, 2026 · source

Effort curve

Every sourced cost-linked effort value for this exact version. Lines connect complete sweeps only.

0
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