Claude 3.7 Sonnet Nano on AIME 2025: score, rank and what it means
Claude 3.7 Sonnet Nano scores 62.0 on AIME 2025, placing it #376 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.
Score distribution
The chart shows the top 10 models on AIME 2025, with Claude 3.7 Sonnet Nano highlighted. Longer bars mean higher scores.
Top 10 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 |
What this score means
On AIME 2025, Claude 3.7 Sonnet Nano sits at #376 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 29.4 points. The median model in this index scores 67.6, which puts Claude 3.7 Sonnet Nano below the midpoint.
Anthropic models average 79.7 on this benchmark. Claude 3.7 Sonnet Nano is 17.7 points below that provider line, so it is a weaker result than the average Anthropic model.
Among mid-range models, the average is 60.1. Claude 3.7 Sonnet Nano is 1.9 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 62.0 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.
Price context
At $6.93 per million input tokens, Claude 3.7 Sonnet Nano is above the median input price of $4.00 across the 600 models scored on AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| ERNIE 4.5 Mini | Baidu | 32768 | $8.62 | 71.0 |
| OLMo 2 Base | Allen Institute for AI | 65536 | $2.39 | 67.4 |
| Grok 3 Nano | xAI | 8192 | $7.12 | 67.8 |
| Molmo Instruct | Allen Institute for AI | 32768 | $2.53 | 68.3 |
| Claude 3.7 Sonnet Nano | Anthropic | 65536 | $6.93 | 68.9 |
| Embed 4 Max | Cohere | 8192 | $5.68 | 66.1 |
| Mixtral Turbo Base | Together AI | 32768 | $2.53 | 69.7 |
Other benchmarks for Claude 3.7 Sonnet Nano
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 72.5 | 373 | 38th | |
| GPQA Diamond | 63.8 | 379 | 37th | |
| SWE-bench Verified | 58.9 | 344 | 43th | |
| HumanEval | 72.8 | 376 | 37th | |
| MATH-500 | 72.4 | 363 | 40th | |
| LiveCodeBench | 59.7 | 372 | 38th | |
| IFEval | 76.2 | 386 | 36th | |
| TruthfulQA | 73.0 | 368 | 39th | |
| HellaSwag | 81.1 | 365 | 39th | |
| MMMU | 65.6 | 376 | 37th | |
| Arena Elo | 1338.9 | 379 | 37th |
FAQ
What score does Claude 3.7 Sonnet Nano get on AIME 2025?
Claude 3.7 Sonnet Nano scores 62.0 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.
How does Claude 3.7 Sonnet Nano rank on AIME 2025?
It ranks #376 of 600 models, in the 37th percentile. The leader is Claude Opus 4.5 Pro at 91.4.
Is Claude 3.7 Sonnet Nano good at AIME 2025?
It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.
How is the AIME 2025 score calculated?
AIME 2025 is a mathematics benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.
What does Claude 3.7 Sonnet Nano cost?
Claude 3.7 Sonnet Nano costs $6.93 per million input tokens and $27.07 per million output tokens.