Claude Opus 4.5 Turbo vs GPT-5.2: which model should you choose?
We compared Claude Opus 4.5 Turbo 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 Opus 4.5 Turbo
Claude Opus 4.5 Turbo is a frontier model from Anthropic. It offers a 2,000,000-token context window, costs $19.57 per million input tokens and $106.60 per million output tokens, and averages 85.7 across the index's benchmark suite.
- Input
- $19.57 / 1M
- Output
- $106.60 / 1M
- Context
- 2,000,000
- Avg score
- 85.7
- 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 Opus 4.5 Turbo | GPT-5.2 | Edge |
|---|---|---|---|
| Input price / 1M | $19.57 | $19.71 | A |
| Output price / 1M | $106.60 | $85.71 | B |
| Context window | 2,000,000 | 2,000,000 | Tie |
| Max output | 65,536 | 16,384 | A |
| Average score | 85.7 | 88.0 | B |
| Arena Elo | 1469.3 | 1478.0 | B |
| Open weights | No | No | Tie |
Benchmark comparison
Claude Opus 4.5 Turbo wins 2, GPT-5.2 wins 10, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Claude Opus 4.5 Turbo | GPT-5.2 | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 85.8 | 89.9 | 4.1 | GPT-5.2 |
| GPQA Diamond | 81.9 | 84.9 | 3.0 | GPT-5.2 |
| SWE-bench Verified | 75.0 | 80.2 | 5.2 | GPT-5.2 |
| HumanEval | 89.8 | 91.0 | 1.2 | GPT-5.2 |
| MATH-500 | 93.2 | 90.6 | 2.6 | Claude Opus 4.5 Turbo |
| AIME 2025 | 87.2 | 90.6 | 3.4 | GPT-5.2 |
| LiveCodeBench | 78.5 | 79.7 | 1.2 | GPT-5.2 |
| IFEval | 92.2 | 93.6 | 1.4 | GPT-5.2 |
| TruthfulQA | 85.5 | 89.7 | 4.2 | GPT-5.2 |
| HellaSwag | 92.8 | 92.6 | 0.2 | Claude Opus 4.5 Turbo |
| MMMU | 80.5 | 85.3 | 4.8 | GPT-5.2 |
| Arena Elo | 1469.3 | 1478.0 | 8.7 | GPT-5.2 |
Price analysis
On a blended 3:1 input-to-output basis, Claude Opus 4.5 Turbo costs about $41.33 per million tokens and GPT-5.2 costs about $36.21. GPT-5.2 is roughly 12% cheaper than Claude Opus 4.5 Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Both models list a 2,000,000-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 Turbo wins 2, GPT-5.2 wins 10, and 0 are tied. On the index average, GPT-5.2 leads Claude Opus 4.5 Turbo by 2.3 points (88.0 versus 85.7).
The price picture favours GPT-5.2. 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 GPT-5.2 for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose Claude Opus 4.5 Turbo 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.
FAQ
Is Claude Opus 4.5 Turbo better than GPT-5.2?
On the index average, GPT-5.2 leads Claude Opus 4.5 Turbo by 2.3 points (88.0 versus 85.7). The better choice depends on price, context and your task. Claude Opus 4.5 Turbo wins 2 benchmarks, GPT-5.2 wins 10.
Which is cheaper, Claude Opus 4.5 Turbo or GPT-5.2?
GPT-5.2 is cheaper on a blended 3:1 basis at about $36.21 per million tokens, versus $41.33 for Claude Opus 4.5 Turbo.
Which has the larger context window?
Both models list a 2,000,000-token context window.
Are these models open weights?
Claude Opus 4.5 Turbo 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.