Gemini 2.5 Pro Max vs Gemini 2.5 Pro Turbo: which model should you choose?
We compared Gemini 2.5 Pro Max and Gemini 2.5 Pro Turbo on price, context window and 12 benchmarks. Gemini 2.5 Pro Max has the stronger average benchmark score; Gemini 2.5 Pro Max is cheaper on a blended 3:1 basis.
Gemini 2.5 Pro Max
Gemini 2.5 Pro Max is a frontier model from Google DeepMind. It offers a 200,000-token context window, costs $16.94 per million input tokens and $64.80 per million output tokens, and averages 84.8 across the index's benchmark suite.
- Input
- $16.94 / 1M
- Output
- $64.80 / 1M
- Context
- 200,000
- Avg score
- 84.8
- Open weights
- No
Gemini 2.5 Pro Turbo
Gemini 2.5 Pro Turbo is a frontier model from Google DeepMind. It offers a 1,000,000-token context window, costs $16.32 per million input tokens and $72.61 per million output tokens, and averages 83.9 across the index's benchmark suite.
- Input
- $16.32 / 1M
- Output
- $72.61 / 1M
- Context
- 1,000,000
- Avg score
- 83.9
- Open weights
- No
Specification comparison
| Spec | Gemini 2.5 Pro Max | Gemini 2.5 Pro Turbo | Edge |
|---|---|---|---|
| Input price / 1M | $16.94 | $16.32 | B |
| Output price / 1M | $64.80 | $72.61 | A |
| Context window | 200,000 | 1,000,000 | B |
| Max output | 65,536 | 128,000 | B |
| Average score | 84.8 | 83.9 | A |
| Arena Elo | 1450.2 | 1464.0 | B |
| Open weights | No | No | Tie |
Benchmark comparison
Gemini 2.5 Pro Max wins 7, Gemini 2.5 Pro Turbo wins 5, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Gemini 2.5 Pro Max | Gemini 2.5 Pro Turbo | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 86.7 | 82.9 | 3.8 | Gemini 2.5 Pro Max |
| GPQA Diamond | 79.8 | 81.7 | 1.9 | Gemini 2.5 Pro Turbo |
| SWE-bench Verified | 75.5 | 71.4 | 4.1 | Gemini 2.5 Pro Max |
| HumanEval | 87.0 | 88.1 | 1.1 | Gemini 2.5 Pro Turbo |
| MATH-500 | 91.6 | 90.6 | 1.0 | Gemini 2.5 Pro Max |
| AIME 2025 | 82.6 | 83.7 | 1.1 | Gemini 2.5 Pro Turbo |
| LiveCodeBench | 79.9 | 78.6 | 1.3 | Gemini 2.5 Pro Max |
| IFEval | 91.3 | 90.7 | 0.6 | Gemini 2.5 Pro Max |
| TruthfulQA | 85.5 | 85.9 | 0.4 | Gemini 2.5 Pro Turbo |
| HellaSwag | 92.9 | 91.2 | 1.7 | Gemini 2.5 Pro Max |
| MMMU | 79.7 | 78.4 | 1.3 | Gemini 2.5 Pro Max |
| Arena Elo | 1450.2 | 1464.0 | 13.8 | Gemini 2.5 Pro Turbo |
Price analysis
On a blended 3:1 input-to-output basis, Gemini 2.5 Pro Max costs about $28.91 per million tokens and Gemini 2.5 Pro Turbo costs about $30.39. Gemini 2.5 Pro Max is roughly 5% cheaper than Gemini 2.5 Pro Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Gemini 2.5 Pro Turbo has the larger context window at 1,000,000 tokens, compared with 200,000 for Gemini 2.5 Pro Max. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Gemini 2.5 Pro Max wins 7, Gemini 2.5 Pro Turbo wins 5, and 0 are tied. On the index average, Gemini 2.5 Pro Max leads Gemini 2.5 Pro Turbo by 0.9 points (84.8 versus 83.9).
The price picture favours Gemini 2.5 Pro Max. The context picture favours Gemini 2.5 Pro Turbo. 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 Gemini 2.5 Pro Max for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose Gemini 2.5 Pro Max if
- You want the higher average benchmark score in this index.
- Unit cost matters and you want the cheaper blended price.
Choose Gemini 2.5 Pro Turbo if
- You need the larger 1,000,000-token context window.
- You need the larger 128,000-token output limit.
FAQ
Is Gemini 2.5 Pro Max better than Gemini 2.5 Pro Turbo?
On the index average, Gemini 2.5 Pro Max leads Gemini 2.5 Pro Turbo by 0.9 points (84.8 versus 83.9). The better choice depends on price, context and your task. Gemini 2.5 Pro Max wins 7 benchmarks, Gemini 2.5 Pro Turbo wins 5.
Which is cheaper, Gemini 2.5 Pro Max or Gemini 2.5 Pro Turbo?
Gemini 2.5 Pro Max is cheaper on a blended 3:1 basis at about $28.91 per million tokens, versus $30.39 for Gemini 2.5 Pro Turbo.
Which has the larger context window?
Gemini 2.5 Pro Turbo has the larger context window at 1,000,000 tokens. Gemini 2.5 Pro Max has 200,000 tokens.
Are these models open weights?
Gemini 2.5 Pro Max is proprietary; Gemini 2.5 Pro Turbo is proprietary.
Which should I choose for production?
If you need a single default, start with Gemini 2.5 Pro Max for quality-sensitive work, and check whether its price holds at your expected volume before committing.