← Artificial Analysis leaderboards
AIME 2025
Artificial Analysis · 50 models
| Rank | Model | Score |
|---|---|---|
| 1 | GPT-5.2 (Xhigh) | 0.99 |
| 2 | GPT-5 Codex (High) | 0.9867 |
| 3 | Gemini 3 Flash Preview (Reasoning) | 0.97 |
| 4 | DeepSeek V3.2 Speciale | 0.9667 |
| 4 | GPT-5.2 (Medium) | 0.9667 |
| 6 | MiMo-V2-Flash (Reasoning) | 0.9633 |
| 7 | GPT-5.1 Codex (High) | 0.9567 |
| 7 | Gemini 3 Pro Preview (High) | 0.9567 |
| 9 | GLM-4.7 (Reasoning) | 0.95 |
| 10 | KAT-Coder-Pro V1 | 0.9467 |
| 10 | Kimi K2 Thinking | 0.9467 |
| 12 | GPT-5 (High) | 0.9433 |
| 12 | Nova 2.0 Lite (High) | 0.9433 |
| 14 | GPT-5.1 (High) | 0.94 |
| 15 | gpt-oss-120b (High) | 0.9344 |
| 16 | Grok 4 | 0.9267 |
| 17 | DeepSeek V3.2 (Reasoning) | 0.92 |
| 18 | GPT-5 (Medium) | 0.9167 |
| 18 | GPT-5.1 Codex mini (High) | 0.9167 |
| 20 | Claude Opus 4.5 (Reasoning) | 0.9133 |
| 21 | NVIDIA Nemotron 3 Nano 30B A3B (Reasoning) | 0.91 |
| 21 | Qwen3 235B A22B 2507 (Reasoning) | 0.91 |
| 23 | GPT-5 mini (High) | 0.9067 |
| 23 | o4-mini (High) | 0.9067 |
| 25 | K-EXAONE (Reasoning) | 0.9033 |
| 26 | DeepSeek V3.1 (Reasoning) | 0.8967 |
| 26 | DeepSeek V3.1 Terminus (Reasoning) | 0.8967 |
| 26 | Grok 4 Fast (Reasoning) | 0.8967 |
| 26 | Nova 2.0 Omni (Medium) | 0.8967 |
| 30 | Grok 4.1 Fast (Reasoning) | 0.8933 |
| 30 | Ring-1T | 0.8933 |
| 30 | gpt-oss-20b (High) | 0.8933 |
| 33 | Nova 2.0 Pro Preview (Medium) | 0.89 |
| 34 | Nova 2.0 Lite (Medium) | 0.8867 |
| 35 | Qwen3 VL 235B A22B (Reasoning) | 0.8833 |
| 35 | o3 | 0.8833 |
| 37 | Apriel-v1.6-15B-Thinker | 0.88 |
| 37 | Claude 4.5 Sonnet (Reasoning) | 0.88 |
| 37 | INTELLECT-3 (Based on GLM-4.5-Air) | 0.88 |
| 40 | DeepSeek V3.2 Exp (Reasoning) | 0.8767 |
| 40 | Gemini 2.5 Pro | 0.8767 |
| 42 | Apriel-v1.5-15B-Thinker | 0.875 |
| 43 | Gemini 3 Pro Preview (Low) | 0.8667 |
| 44 | GLM-4.6 (Reasoning) | 0.86 |
| 45 | GLM-4.6V (Reasoning) | 0.8533 |
| 46 | ERNIE 5.0 Thinking Preview | 0.85 |
| 46 | GPT-5 mini (Medium) | 0.85 |
| 48 | Grok 3 mini Reasoning (High) | 0.8467 |
| 48 | Qwen3 VL 32B (Reasoning) | 0.8467 |
| 48 | Seed-OSS-36B-Instruct | 0.8467 |