AIME 2025: leaderboard, scores and methodology
Problems from the 2025 American Invitational Mathematics Examination.
Top 10
Bars are scaled to the highest observed score. The leader sets the pace; the spread below it shows how much separation exists in this benchmark.
Leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 2 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 3 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 4 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 5 | o4 Reasoning | OpenAI | 1000000 | $19.69 | 87.5 |
| 6 | o4 Pro | OpenAI | 1000000 | $19.37 | 87.3 |
| 7 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 8 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
| 9 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 10 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 11 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 12 | Gemini 3 Pro Reasoning | Google DeepMind | 200000 | $19.69 | 87.5 |
| 13 | Claude Sonnet 4.5 Pro | Anthropic | 1000000 | $18.73 | 86.7 |
| 14 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 15 | Gemini 3 Pro Pro | Google DeepMind | 200000 | $19.80 | 87.3 |
| 16 | Claude Sonnet 4.5 Turbo | Anthropic | 1000000 | $18.37 | 85.9 |
| 17 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 18 | Gemini 3 Pro Vision | Google DeepMind | 200000 | $17.59 | 85.5 |
| 19 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 20 | Claude Opus 4.5 Turbo | Anthropic | 2000000 | $19.57 | 85.7 |
| 21 | GPT-5.2 Turbo | OpenAI | 1000000 | $20.73 | 87.4 |
| 22 | Gemini 3 Flash Max | Google DeepMind | 1000000 | $17.43 | 85.0 |
| 23 | Grok 3 Max | xAI | 2000000 | $17.66 | 85.9 |
| 24 | Claude Sonnet 4.5 Vision | Anthropic | 128000 | $16.99 | 83.8 |
| 25 | Claude Sonnet 4.5 | Anthropic | 400000 | $17.84 | 86.0 |
| 26 | o3 Max | OpenAI | 2000000 | $17.82 | 84.8 |
| 27 | o4 Turbo | OpenAI | 2000000 | $19.34 | 86.6 |
| 28 | GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
| 29 | GPT-5.1 | OpenAI | 2000000 | $19.01 | 86.0 |
| 30 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 31 | Grok 3 Pro | xAI | 400000 | $16.61 | 83.8 |
| 32 | Claude Opus 4.5 Vision | Anthropic | 200000 | $17.70 | 85.9 |
| 33 | Claude Sonnet 4.5 Max | Anthropic | 1000000 | $19.90 | 87.2 |
| 34 | Grok 4 Pro | xAI | 1000000 | $19.00 | 85.4 |
| 35 | Qwen3-Max Pro | Alibaba Cloud | 400000 | $18.87 | 86.2 |
| 36 | o4 | OpenAI | 2000000 | $17.74 | 85.4 |
| 37 | Grok 4 Turbo | xAI | 1000000 | $19.21 | 86.7 |
| 38 | Kimi K2 | Moonshot AI | 128000 | $5.85 | 83.0 |
| 39 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 40 | GPT-4.1 Max | OpenAI | 400000 | $17.34 | 84.7 |
| 41 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 42 | o4 Max | OpenAI | 2000000 | $19.51 | 86.2 |
| 43 | GPT-5.1 Turbo | OpenAI | 2000000 | $19.19 | 86.1 |
| 44 | Gemini 3 Flash | Google DeepMind | 128000 | $15.67 | 83.6 |
| 45 | o3 | OpenAI | 400000 | $16.80 | 84.5 |
| 46 | Gemini 3 Pro | Google DeepMind | 2000000 | $18.24 | 86.1 |
| 47 | Gemini 2.5 Pro Reasoning | Google DeepMind | 128000 | $16.81 | 83.8 |
| 48 | Kimi K2 Chat | Moonshot AI | 400000 | $5.74 | 82.1 |
| 49 | DeepSeek-V3.2 Instruct | DeepSeek | 128000 | $5.91 | 83.7 |
| 50 | Gemini 2.5 Pro Turbo | Google DeepMind | 1000000 | $16.32 | 83.9 |
Methodology
AIME 2025 is included as a mathematics benchmark with a typical score range of 0 to 100. The values in this index are deterministic modelled estimates generated for comparison at scale. They are not official leaderboard results and should not be quoted as vendor benchmarks.
Each model receives a score derived from its capability tier, release generation and benchmark difficulty. Scores are normalised to a 0–100 scale so that models from different providers can be placed side by side. The average shown is the arithmetic mean across all 600 scored models.
Read the leaderboard as a relative map. A five-point gap is meaningful at the top and less meaningful in the middle of the distribution. Pair the score with price and context data before choosing a model.
How to use this leaderboard
- Use the top 10 to shortlist candidates, not to declare a winner.
- Check whether the leader is open weights or proprietary before assuming you can deploy it.
- Compare the score against input and output price on each model page.
- Look at the model's scores on related benchmarks before trusting a single number.
FAQ
What is AIME 2025?
Problems from the 2025 American Invitational Mathematics Examination.
Who leads AIME 2025?
Claude Opus 4.5 Pro from Anthropic leads this index with a score of 91.4, followed by GPT-5.2 Pro at 91.0.
What is a good AIME 2025 score?
The top quartile starts around 75.3. The index average is 63.6, so a score above 75.3 is a strong result relative to this dataset.
How are AIME 2025 scores calculated?
The values are modelled estimates on a 0–100 scale, generated from capability tier, release generation and benchmark difficulty. They are not official leaderboard results.
Which models are included?
All 600 models in the index are scored on AIME 2025, across 40 providers and every model category.