Claude 3.7 Sonnet Vision on HumanEval: score, rank and what it means
Claude 3.7 Sonnet Vision scores 85.4 on HumanEval, placing it #106 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.
Score distribution
The chart shows the top 10 models on HumanEval, with Claude 3.7 Sonnet Vision highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 2 | Gemini 3 Pro Pro | Google DeepMind | 200000 | $19.80 | 87.3 |
| 3 | o4 Max | OpenAI | 2000000 | $19.51 | 86.2 |
| 4 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 5 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 6 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 7 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 8 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 9 | GPT-5.2 Turbo | OpenAI | 1000000 | $20.73 | 87.4 |
| 10 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
What this score means
On HumanEval, Claude 3.7 Sonnet Vision sits at #106 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 11.4 points. The median model in this index scores 77.4, which puts Claude 3.7 Sonnet Vision above the midpoint.
Anthropic models average 86.0 on this benchmark. Claude 3.7 Sonnet Vision is 0.6 points below that provider line, so it is a weaker result than the average Anthropic model.
Among multimodal models, the average is 82.2. Claude 3.7 Sonnet Vision is 3.2 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 85.4 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 $13.96 per million input tokens, Claude 3.7 Sonnet Vision is above the median input price of $4.00 across the 600 models scored on HumanEval. 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 |
|---|---|---|---|---|
| Gemini 2.5 Pro Vision | Google DeepMind | 200000 | $14.91 | 82.0 |
| Claude 3.7 Sonnet | Anthropic | 200000 | $14.91 | 81.6 |
| o3 Vision | OpenAI | 1000000 | $15.24 | 81.8 |
| GPT-5.2 Mini | OpenAI | 200000 | $13.34 | 80.4 |
| Claude 3.7 Sonnet Vision | Anthropic | 400000 | $13.96 | 81.0 |
| Llama 4 Maverick Base | Meta AI | 128000 | $4.68 | 79.1 |
| GLM-4.6 Instruct | Zhipu AI | 1000000 | $5.15 | 80.4 |
Other benchmarks for Claude 3.7 Sonnet Vision
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 82.5 | 113 | 81th | |
| GPQA Diamond | 77.3 | 100 | 83th | |
| SWE-bench Verified | 72.2 | 72 | 88th | |
| MATH-500 | 84.8 | 111 | 82th | |
| AIME 2025 | 80.9 | 76 | 87th | |
| LiveCodeBench | 75.7 | 85 | 86th | |
| IFEval | 87.9 | 103 | 83th | |
| TruthfulQA | 81.6 | 136 | 77th | |
| HellaSwag | 89.4 | 100 | 83th | |
| MMMU | 73.8 | 196 | 67th | |
| Arena Elo | 1429.6 | 121 | 80th |
FAQ
What score does Claude 3.7 Sonnet Vision get on HumanEval?
Claude 3.7 Sonnet Vision scores 85.4 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.
How does Claude 3.7 Sonnet Vision rank on HumanEval?
It ranks #106 of 600 models, in the 82nd percentile. The leader is GPT-5.2 Pro at 96.8.
Is Claude 3.7 Sonnet Vision good at HumanEval?
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 HumanEval score calculated?
HumanEval is a coding 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 Vision cost?
Claude 3.7 Sonnet Vision costs $13.96 per million input tokens and $56.28 per million output tokens.