Claude Sonnet 4.5 Max vs GPT-5.2: which model should you choose?
We compared Claude Sonnet 4.5 Max and GPT-5.2 on price, context window and 12 benchmarks. GPT-5.2 has the stronger average benchmark score; GPT-5.2 is cheaper on a blended 3:1 basis.
Claude Sonnet 4.5 Max
Claude Sonnet 4.5 Max is a frontier model from Anthropic. It offers a 1,000,000-token context window, costs $19.90 per million input tokens and $95.47 per million output tokens, and averages 87.2 across the index's benchmark suite.
- Input
- $19.90 / 1M
- Output
- $95.47 / 1M
- Context
- 1,000,000
- Avg score
- 87.2
- Open weights
- No
GPT-5.2
GPT-5.2 is a frontier model from OpenAI. It offers a 2,000,000-token context window, costs $19.71 per million input tokens and $85.71 per million output tokens, and averages 88.0 across the index's benchmark suite.
- Input
- $19.71 / 1M
- Output
- $85.71 / 1M
- Context
- 2,000,000
- Avg score
- 88.0
- Open weights
- No
Specification comparison
| Spec | Claude Sonnet 4.5 Max | GPT-5.2 | Edge |
|---|---|---|---|
| Input price / 1M | $19.90 | $19.71 | B |
| Output price / 1M | $95.47 | $85.71 | B |
| Context window | 1,000,000 | 2,000,000 | B |
| Max output | 65,536 | 16,384 | A |
| Average score | 87.2 | 88.0 | B |
| Arena Elo | 1474.9 | 1478.0 | B |
| Open weights | No | No | Tie |
Benchmark comparison
Claude Sonnet 4.5 Max wins 4, GPT-5.2 wins 7, and 1 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Claude Sonnet 4.5 Max | GPT-5.2 | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 86.1 | 89.9 | 3.8 | GPT-5.2 |
| GPQA Diamond | 84.4 | 84.9 | 0.5 | GPT-5.2 |
| SWE-bench Verified | 80.2 | 80.2 | 0.0 | Tie |
| HumanEval | 92.4 | 91.0 | 1.4 | Claude Sonnet 4.5 Max |
| MATH-500 | 92.8 | 90.6 | 2.2 | Claude Sonnet 4.5 Max |
| AIME 2025 | 85.4 | 90.6 | 5.2 | GPT-5.2 |
| LiveCodeBench | 82.8 | 79.7 | 3.1 | Claude Sonnet 4.5 Max |
| IFEval | 92.9 | 93.6 | 0.7 | GPT-5.2 |
| TruthfulQA | 87.3 | 89.7 | 2.4 | GPT-5.2 |
| HellaSwag | 93.1 | 92.6 | 0.5 | Claude Sonnet 4.5 Max |
| MMMU | 82.0 | 85.3 | 3.3 | GPT-5.2 |
| Arena Elo | 1474.9 | 1478.0 | 3.1 | GPT-5.2 |
Price analysis
On a blended 3:1 input-to-output basis, Claude Sonnet 4.5 Max costs about $38.79 per million tokens and GPT-5.2 costs about $36.21. GPT-5.2 is roughly 7% cheaper than Claude Sonnet 4.5 Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
GPT-5.2 has the larger context window at 2,000,000 tokens, compared with 1,000,000 for Claude Sonnet 4.5 Max. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Claude Sonnet 4.5 Max wins 4, GPT-5.2 wins 7, and 1 are tied. On the index average, GPT-5.2 leads Claude Sonnet 4.5 Max by 0.8 points (88.0 versus 87.2).
The price picture favours GPT-5.2. The context picture favours GPT-5.2. 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 GPT-5.2 for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose Claude Sonnet 4.5 Max if
- You need the larger 65,536-token output limit.
Choose GPT-5.2 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 2,000,000-token context window.
FAQ
Is Claude Sonnet 4.5 Max better than GPT-5.2?
On the index average, GPT-5.2 leads Claude Sonnet 4.5 Max by 0.8 points (88.0 versus 87.2). The better choice depends on price, context and your task. Claude Sonnet 4.5 Max wins 4 benchmarks, GPT-5.2 wins 7.
Which is cheaper, Claude Sonnet 4.5 Max or GPT-5.2?
GPT-5.2 is cheaper on a blended 3:1 basis at about $36.21 per million tokens, versus $38.79 for Claude Sonnet 4.5 Max.
Which has the larger context window?
GPT-5.2 has the larger context window at 2,000,000 tokens. Claude Sonnet 4.5 Max has 1,000,000 tokens.
Are these models open weights?
Claude Sonnet 4.5 Max is proprietary; GPT-5.2 is proprietary.
Which should I choose for production?
If you need a single default, start with GPT-5.2 for quality-sensitive work, and check whether its price holds at your expected volume before committing.