Claude Opus 4.5 Max vs GPT-5.2 Turbo: which model should you choose?
We compared Claude Opus 4.5 Max and GPT-5.2 Turbo on price, context window and 12 benchmarks. Claude Opus 4.5 Max has the stronger average benchmark score; GPT-5.2 Turbo is cheaper on a blended 3:1 basis.
Claude Opus 4.5 Max
Claude Opus 4.5 Max is a frontier model from Anthropic. It offers a 1,000,000-token context window, costs $20.90 per million input tokens and $106.51 per million output tokens, and averages 87.8 across the index's benchmark suite.
- Input
- $20.90 / 1M
- Output
- $106.51 / 1M
- Context
- 1,000,000
- Avg score
- 87.8
- Open weights
- No
GPT-5.2 Turbo
GPT-5.2 Turbo is a frontier model from OpenAI. It offers a 1,000,000-token context window, costs $20.73 per million input tokens and $96.05 per million output tokens, and averages 87.4 across the index's benchmark suite.
- Input
- $20.73 / 1M
- Output
- $96.05 / 1M
- Context
- 1,000,000
- Avg score
- 87.4
- Open weights
- No
Specification comparison
| Spec | Claude Opus 4.5 Max | GPT-5.2 Turbo | Edge |
|---|---|---|---|
| Input price / 1M | $20.90 | $20.73 | B |
| Output price / 1M | $106.51 | $96.05 | B |
| Context window | 1,000,000 | 1,000,000 | Tie |
| Max output | 16,384 | 8,192 | A |
| Average score | 87.8 | 87.4 | A |
| Arena Elo | 1501.9 | 1500.3 | A |
| Open weights | No | No | Tie |
Benchmark comparison
Claude Opus 4.5 Max wins 7, GPT-5.2 Turbo wins 5, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Claude Opus 4.5 Max | GPT-5.2 Turbo | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 89.5 | 87.3 | 2.2 | Claude Opus 4.5 Max |
| GPQA Diamond | 84.6 | 84.0 | 0.6 | Claude Opus 4.5 Max |
| SWE-bench Verified | 79.5 | 77.4 | 2.1 | Claude Opus 4.5 Max |
| HumanEval | 91.7 | 93.2 | 1.5 | GPT-5.2 Turbo |
| MATH-500 | 94.2 | 92.7 | 1.5 | Claude Opus 4.5 Max |
| AIME 2025 | 89.3 | 86.7 | 2.6 | Claude Opus 4.5 Max |
| LiveCodeBench | 80.6 | 82.5 | 1.9 | GPT-5.2 Turbo |
| IFEval | 94.5 | 92.0 | 2.5 | Claude Opus 4.5 Max |
| TruthfulQA | 86.9 | 87.3 | 0.4 | GPT-5.2 Turbo |
| HellaSwag | 93.0 | 95.5 | 2.5 | GPT-5.2 Turbo |
| MMMU | 82.3 | 83.3 | 1.0 | GPT-5.2 Turbo |
| Arena Elo | 1501.9 | 1500.3 | 1.6 | Claude Opus 4.5 Max |
Price analysis
On a blended 3:1 input-to-output basis, Claude Opus 4.5 Max costs about $42.30 per million tokens and GPT-5.2 Turbo costs about $39.56. GPT-5.2 Turbo is roughly 6% cheaper than Claude Opus 4.5 Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Both models list a 1,000,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Claude Opus 4.5 Max wins 7, GPT-5.2 Turbo wins 5, and 0 are tied. On the index average, Claude Opus 4.5 Max leads GPT-5.2 Turbo by 0.4 points (87.8 versus 87.4).
The price picture favours GPT-5.2 Turbo. The context picture is effectively a tie. 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 Claude Opus 4.5 Max for quality-sensitive work and GPT-5.2 Turbo for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Claude Opus 4.5 Max if
- You want the higher average benchmark score in this index.
- You need the larger 16,384-token output limit.
Choose GPT-5.2 Turbo if
- Unit cost matters and you want the cheaper blended price.
FAQ
Is Claude Opus 4.5 Max better than GPT-5.2 Turbo?
On the index average, Claude Opus 4.5 Max leads GPT-5.2 Turbo by 0.4 points (87.8 versus 87.4). The better choice depends on price, context and your task. Claude Opus 4.5 Max wins 7 benchmarks, GPT-5.2 Turbo wins 5.
Which is cheaper, Claude Opus 4.5 Max or GPT-5.2 Turbo?
GPT-5.2 Turbo is cheaper on a blended 3:1 basis at about $39.56 per million tokens, versus $42.30 for Claude Opus 4.5 Max.
Which has the larger context window?
Both models list a 1,000,000-token context window.
Are these models open weights?
Claude Opus 4.5 Max is proprietary; GPT-5.2 Turbo is proprietary.
Which should I choose for production?
If you need a single default, start with Claude Opus 4.5 Max for quality-sensitive work and GPT-5.2 Turbo for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.