Gemini 3 Flash Turbo vs GPT-4.1 Max: which model should you choose?
We compared Gemini 3 Flash Turbo and GPT-4.1 Max on price, context window and 12 benchmarks. GPT-4.1 Max has the stronger average benchmark score; GPT-4.1 Max is cheaper on a blended 3:1 basis.
Gemini 3 Flash Turbo
Gemini 3 Flash Turbo is a frontier model from Google DeepMind. It offers a 200,000-token context window, costs $17.07 per million input tokens and $69.05 per million output tokens, and averages 84.1 across the index's benchmark suite.
- Input
- $17.07 / 1M
- Output
- $69.05 / 1M
- Context
- 200,000
- Avg score
- 84.1
- Open weights
- No
GPT-4.1 Max
GPT-4.1 Max is a frontier model from OpenAI. It offers a 400,000-token context window, costs $17.34 per million input tokens and $66.38 per million output tokens, and averages 84.7 across the index's benchmark suite.
- Input
- $17.34 / 1M
- Output
- $66.38 / 1M
- Context
- 400,000
- Avg score
- 84.7
- Open weights
- No
Specification comparison
| Spec | Gemini 3 Flash Turbo | GPT-4.1 Max | Edge |
|---|---|---|---|
| Input price / 1M | $17.07 | $17.34 | A |
| Output price / 1M | $69.05 | $66.38 | B |
| Context window | 200,000 | 400,000 | B |
| Max output | 16,384 | 8,192 | A |
| Average score | 84.1 | 84.7 | B |
| Arena Elo | 1473.4 | 1467.6 | A |
| Open weights | No | No | Tie |
Benchmark comparison
Gemini 3 Flash Turbo wins 6, GPT-4.1 Max wins 5, and 1 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Gemini 3 Flash Turbo | GPT-4.1 Max | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 87.9 | 87.4 | 0.5 | Gemini 3 Flash Turbo |
| GPQA Diamond | 77.5 | 81.2 | 3.7 | GPT-4.1 Max |
| SWE-bench Verified | 72.5 | 74.8 | 2.3 | GPT-4.1 Max |
| HumanEval | 90.6 | 88.8 | 1.8 | Gemini 3 Flash Turbo |
| MATH-500 | 87.6 | 87.3 | 0.3 | Gemini 3 Flash Turbo |
| AIME 2025 | 81.3 | 84.9 | 3.6 | GPT-4.1 Max |
| LiveCodeBench | 78.5 | 78.5 | 0.0 | Tie |
| IFEval | 88.9 | 92.1 | 3.2 | GPT-4.1 Max |
| TruthfulQA | 87.4 | 85.4 | 2.0 | Gemini 3 Flash Turbo |
| HellaSwag | 89.5 | 90.7 | 1.2 | GPT-4.1 Max |
| MMMU | 83.0 | 80.5 | 2.5 | Gemini 3 Flash Turbo |
| Arena Elo | 1473.4 | 1467.6 | 5.8 | Gemini 3 Flash Turbo |
Price analysis
On a blended 3:1 input-to-output basis, Gemini 3 Flash Turbo costs about $30.06 per million tokens and GPT-4.1 Max costs about $29.60. GPT-4.1 Max is roughly 2% cheaper than Gemini 3 Flash Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
GPT-4.1 Max has the larger context window at 400,000 tokens, compared with 200,000 for Gemini 3 Flash Turbo. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Gemini 3 Flash Turbo wins 6, GPT-4.1 Max wins 5, and 1 are tied. On the index average, GPT-4.1 Max leads Gemini 3 Flash Turbo by 0.6 points (84.7 versus 84.1).
The price picture favours GPT-4.1 Max. The context picture favours GPT-4.1 Max. 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-4.1 Max for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose Gemini 3 Flash Turbo if
- You need the larger 16,384-token output limit.
Choose GPT-4.1 Max 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 Gemini 3 Flash Turbo better than GPT-4.1 Max?
On the index average, GPT-4.1 Max leads Gemini 3 Flash Turbo by 0.6 points (84.7 versus 84.1). The better choice depends on price, context and your task. Gemini 3 Flash Turbo wins 6 benchmarks, GPT-4.1 Max wins 5.
Which is cheaper, Gemini 3 Flash Turbo or GPT-4.1 Max?
GPT-4.1 Max is cheaper on a blended 3:1 basis at about $29.60 per million tokens, versus $30.06 for Gemini 3 Flash Turbo.
Which has the larger context window?
GPT-4.1 Max has the larger context window at 400,000 tokens. Gemini 3 Flash Turbo has 200,000 tokens.
Are these models open weights?
Gemini 3 Flash Turbo is proprietary; GPT-4.1 Max is proprietary.
Which should I choose for production?
If you need a single default, start with GPT-4.1 Max for quality-sensitive work, and check whether its price holds at your expected volume before committing.