Claude 3.7 Sonnet Max on GPQA Diamond: score, rank and what it means
Claude 3.7 Sonnet Max scores 76.8 on GPQA Diamond, placing it #106 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.
Score distribution
The chart shows the top 10 models on GPQA Diamond, with Claude 3.7 Sonnet Max highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 2 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 3 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 4 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 5 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 6 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 7 | o4 Turbo | OpenAI | 2000000 | $19.34 | 86.6 |
| 8 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 9 | Grok 4 Turbo | xAI | 1000000 | $19.21 | 86.7 |
| 10 | Claude Sonnet 4.5 Max | Anthropic | 1000000 | $19.90 | 87.2 |
What this score means
On GPQA Diamond, Claude 3.7 Sonnet Max sits at #106 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 10.2 points. The median model in this index scores 68.8, which puts Claude 3.7 Sonnet Max above the midpoint.
Anthropic models average 77.3 on this benchmark. Claude 3.7 Sonnet Max is 0.5 points below that provider line, so it is a weaker result than the average Anthropic model.
Among frontier models, the average is 81.5. Claude 3.7 Sonnet Max is 4.7 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 76.8 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 $16.88 per million input tokens, Claude 3.7 Sonnet Max is above the median input price of $4.00 across the 600 models scored on GPQA Diamond. 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 | Baidu | 65536 | $13.44 | 80.0 |
| DeepSeek-V3.2 Base | DeepSeek | 128000 | $5.05 | 80.2 |
| Llama 4 Scout Chat | Meta AI | 32768 | $4.66 | 78.0 |
| Sonar Pro | Perplexity | 128000 | $13.01 | 79.1 |
| Claude 3.7 Sonnet Max | Anthropic | 128000 | $16.88 | 83.7 |
| Llama 4 Maverick | Meta AI | 200000 | $5.36 | 81.6 |
| QwQ | Alibaba Cloud | 128000 | $4.57 | 78.6 |
Other benchmarks for Claude 3.7 Sonnet Max
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 86.0 | 54 | 91th | |
| SWE-bench Verified | 76.1 | 28 | 95th | |
| HumanEval | 90.9 | 35 | 94th | |
| MATH-500 | 87.2 | 74 | 88th | |
| AIME 2025 | 80.7 | 78 | 87th | |
| LiveCodeBench | 78.1 | 63 | 90th | |
| IFEval | 90.0 | 71 | 88th | |
| TruthfulQA | 84.7 | 68 | 89th | |
| HellaSwag | 91.2 | 55 | 91th | |
| MMMU | 78.8 | 78 | 87th | |
| Arena Elo | 1461.6 | 50 | 92th |
FAQ
What score does Claude 3.7 Sonnet Max get on GPQA Diamond?
Claude 3.7 Sonnet Max scores 76.8 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.
How does Claude 3.7 Sonnet Max rank on GPQA Diamond?
It ranks #106 of 600 models, in the 82nd percentile. The leader is GPT-5.2 Reasoning at 87.0.
Is Claude 3.7 Sonnet Max good at GPQA Diamond?
Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.
How is the GPQA Diamond score calculated?
GPQA Diamond is a reasoning 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 Max cost?
Claude 3.7 Sonnet Max costs $16.88 per million input tokens and $83.20 per million output tokens.