Claude 3.7 Sonnet Max vs o3: which model should you choose?
We compared Claude 3.7 Sonnet Max and o3 on price, context window and 12 benchmarks. o3 has the stronger average benchmark score; o3 is cheaper on a blended 3:1 basis.
Claude 3.7 Sonnet Max
Claude 3.7 Sonnet Max is a frontier model from Anthropic. It offers a 128,000-token context window, costs $16.88 per million input tokens and $83.20 per million output tokens, and averages 83.7 across the index's benchmark suite.
- Input
- $16.88 / 1M
- Output
- $83.20 / 1M
- Context
- 128,000
- Avg score
- 83.7
- Open weights
- No
o3
o3 is a frontier model from OpenAI. It offers a 400,000-token context window, costs $16.80 per million input tokens and $81.80 per million output tokens, and averages 84.5 across the index's benchmark suite.
- Input
- $16.80 / 1M
- Output
- $81.80 / 1M
- Context
- 400,000
- Avg score
- 84.5
- Open weights
- No
Specification comparison
| Spec | Claude 3.7 Sonnet Max | o3 | Edge |
|---|---|---|---|
| Input price / 1M | $16.88 | $16.80 | B |
| Output price / 1M | $83.20 | $81.80 | B |
| Context window | 128,000 | 400,000 | B |
| Max output | 32,768 | 4,096 | A |
| Average score | 83.7 | 84.5 | B |
| Arena Elo | 1461.6 | 1449.0 | A |
| Open weights | No | No | Tie |
Benchmark comparison
Claude 3.7 Sonnet Max wins 5, o3 wins 7, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Claude 3.7 Sonnet Max | o3 | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 86.0 | 86.9 | 0.9 | o3 |
| GPQA Diamond | 76.8 | 78.3 | 1.5 | o3 |
| SWE-bench Verified | 76.1 | 72.9 | 3.2 | Claude 3.7 Sonnet Max |
| HumanEval | 90.9 | 89.8 | 1.1 | Claude 3.7 Sonnet Max |
| MATH-500 | 87.2 | 87.9 | 0.7 | o3 |
| AIME 2025 | 80.7 | 84.4 | 3.7 | o3 |
| LiveCodeBench | 78.1 | 80.7 | 2.6 | o3 |
| IFEval | 90.0 | 88.7 | 1.3 | Claude 3.7 Sonnet Max |
| TruthfulQA | 84.7 | 84.6 | 0.1 | Claude 3.7 Sonnet Max |
| HellaSwag | 91.2 | 92.7 | 1.5 | o3 |
| MMMU | 78.8 | 82.3 | 3.5 | o3 |
| Arena Elo | 1461.6 | 1449.0 | 12.6 | Claude 3.7 Sonnet Max |
Price analysis
On a blended 3:1 input-to-output basis, Claude 3.7 Sonnet Max costs about $33.46 per million tokens and o3 costs about $33.05. o3 is roughly 1% cheaper than Claude 3.7 Sonnet Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
o3 has the larger context window at 400,000 tokens, compared with 128,000 for Claude 3.7 Sonnet Max. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Claude 3.7 Sonnet Max wins 5, o3 wins 7, and 0 are tied. On the index average, o3 leads Claude 3.7 Sonnet Max by 0.8 points (84.5 versus 83.7).
The price picture favours o3. The context picture favours o3. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.
If you need a single default, start with o3 for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose Claude 3.7 Sonnet Max if
- You need the larger 32,768-token output limit.
Choose o3 if
- You want the higher average benchmark score in this index.
- Unit cost matters and you want the cheaper blended price.
- You need the larger 400,000-token context window.
FAQ
Is Claude 3.7 Sonnet Max better than o3?
On the index average, o3 leads Claude 3.7 Sonnet Max by 0.8 points (84.5 versus 83.7). The better choice depends on price, context and your task. Claude 3.7 Sonnet Max wins 5 benchmarks, o3 wins 7.
Which is cheaper, Claude 3.7 Sonnet Max or o3?
o3 is cheaper on a blended 3:1 basis at about $33.05 per million tokens, versus $33.46 for Claude 3.7 Sonnet Max.
Which has the larger context window?
o3 has the larger context window at 400,000 tokens. Claude 3.7 Sonnet Max has 128,000 tokens.
Are these models open weights?
Claude 3.7 Sonnet Max is proprietary; o3 is proprietary.
Which should I choose for production?
If you need a single default, start with o3 for quality-sensitive work, and check whether its price holds at your expected volume before committing.