Benchmarks / Reasoning & Math
AIME
American Invitational Mathematics Examination problems (recent years).
maintainer unknown · 269 observations on record
Versions
1 version
| Version | Tasks |
|---|---|
| AIME current aime | — |
Current leaderboard
AIME · Accuracy · top 25 of 214 systems
| # | System | Accuracy % |
|---|---|---|
| 1 | GPT 5.2 (2025-12-11)xhigh effort OpenAI | 99.0% |
| 2 | GPT 5 Codexhigh effort OpenAI | 98.7% |
| 3 | Gemini 3.1 Pro Previewhigh effort Google DeepMind | 98.1% |
| 4 | Gemini 3 Flash Previewthinking Google DeepMind | 97.0% |
| 5 | Muse Spark Meta AI | 96.9% |
| 6 | Gemini 3 Pro Previewhigh effort Google DeepMind | 96.7% |
| 7 | GPT 5.2 (2025-12-11)medium effort OpenAI | 96.7% |
| 8 | GPT 5.4 (2026-03-05)xhigh effort OpenAI | 96.7% |
| 9 | Grok 4.20 0309 Reasoning xAI | 96.5% |
| 10 | Mimo V2 Flashthinking xiaomi | 96.3% |
| 11 | Claude Opus 4.7 Anthropic | 96.3% |
| 12 | GPT 5.1 Codexhigh effort Unknown | 95.7% |
| 13 | GPT 5 (2025-08-07)high effort OpenAI | 95.7% |
| 14 | GPT 5.4 Mini (2026-03-17)xhigh effort OpenAI | 95.6% |
| 15 | Kimi K2 5thinking Moonshot AI | 95.6% |
| 16 | Claude Opus 4.6thinking Anthropic | 95.6% |
| 17 | Gemini 3 Flash Previewhigh effort Google DeepMind | 95.6% |
| 18 | Claude Opus 4.5 20251101thinking Anthropic | 95.4% |
| 19 | GLM 4.7thinking Z.ai | 95.0% |
| 20 | Kimi K2 Thinking Unknown | 94.7% |
| 21 | Qwen3 6 Plus Alibaba | 94.6% |
| 22 | Grok 4 xAI | 94.3% |
| 23 | Qwen3 235B A22b 2507thinking Alibaba | 94.0% |
| 24 | GPT 5.1 (2025-11-13)high effort OpenAI | 94.0% |
| 25 | O4 Mini (2025-04-16)high effort OpenAI | 94.0% |
One row per evaluated system — reasoning-effort variants rank separately. Where a system has attr variants for this version (eval splits, style control), only the canonical variant is ranked: split=semi_private, style_control=true, or the unsplit run.
Source agreement
where evaluating organizations agree — and don't
AIMEArtificial Analysis vs Vals AI
overlap 27 systemsrank correlation 0.92mean |Δ| 3.25max |Δ| 16.09
Possible reasons: run setting 'implementation' differs (artificial-analysis vs vals-ai).
