Gemini 3 Flash Max vs GPT-4.1 Reasoning: which model should you choose?
We compared Gemini 3 Flash Max and GPT-4.1 Reasoning on price, context window and 12 benchmarks. Gemini 3 Flash Max has the stronger average benchmark score; Gemini 3 Flash Max is cheaper on a blended 3:1 basis.
Gemini 3 Flash Max
Gemini 3 Flash Max is a frontier model from Google DeepMind. It offers a 1,000,000-token context window, costs $17.43 per million input tokens and $63.42 per million output tokens, and averages 85.0 across the index's benchmark suite.
- Input
- $17.43 / 1M
- Output
- $63.42 / 1M
- Context
- 1,000,000
- Avg score
- 85.0
- Open weights
- No
GPT-4.1 Reasoning
GPT-4.1 Reasoning is a frontier model from OpenAI. It offers a 1,000,000-token context window, costs $16.97 per million input tokens and $82.05 per million output tokens, and averages 83.8 across the index's benchmark suite.
- Input
- $16.97 / 1M
- Output
- $82.05 / 1M
- Context
- 1,000,000
- Avg score
- 83.8
- Open weights
- No
Specification comparison
| Spec | Gemini 3 Flash Max | GPT-4.1 Reasoning | Edge |
|---|---|---|---|
| Input price / 1M | $17.43 | $16.97 | B |
| Output price / 1M | $63.42 | $82.05 | A |
| Context window | 1,000,000 | 1,000,000 | Tie |
| Max output | 65,536 | 4,096 | A |
| Average score | 85.0 | 83.8 | A |
| Arena Elo | 1448.5 | 1466.7 | B |
| Open weights | No | No | Tie |
Benchmark comparison
Gemini 3 Flash Max wins 7, GPT-4.1 Reasoning wins 5, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Gemini 3 Flash Max | GPT-4.1 Reasoning | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 87.8 | 87.3 | 0.5 | Gemini 3 Flash Max |
| GPQA Diamond | 80.9 | 77.8 | 3.1 | Gemini 3 Flash Max |
| SWE-bench Verified | 73.8 | 73.1 | 0.7 | Gemini 3 Flash Max |
| HumanEval | 88.5 | 88.8 | 0.3 | GPT-4.1 Reasoning |
| MATH-500 | 88.6 | 89.1 | 0.5 | GPT-4.1 Reasoning |
| AIME 2025 | 86.7 | 82.1 | 4.6 | Gemini 3 Flash Max |
| LiveCodeBench | 78.3 | 80.5 | 2.2 | GPT-4.1 Reasoning |
| IFEval | 91.3 | 91.6 | 0.3 | GPT-4.1 Reasoning |
| TruthfulQA | 87.1 | 84.3 | 2.8 | Gemini 3 Flash Max |
| HellaSwag | 91.1 | 89.4 | 1.7 | Gemini 3 Flash Max |
| MMMU | 81.0 | 77.5 | 3.5 | Gemini 3 Flash Max |
| Arena Elo | 1448.5 | 1466.7 | 18.2 | GPT-4.1 Reasoning |
Price analysis
On a blended 3:1 input-to-output basis, Gemini 3 Flash Max costs about $28.93 per million tokens and GPT-4.1 Reasoning costs about $33.24. Gemini 3 Flash Max is roughly 13% cheaper than GPT-4.1 Reasoning. 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, Gemini 3 Flash Max wins 7, GPT-4.1 Reasoning wins 5, and 0 are tied. On the index average, Gemini 3 Flash Max leads GPT-4.1 Reasoning by 1.2 points (85.0 versus 83.8).
The price picture favours Gemini 3 Flash Max. 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 Gemini 3 Flash Max for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose Gemini 3 Flash 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 65,536-token output limit.
Choose GPT-4.1 Reasoning if
- You prefer OpenAI's tooling or already use it.
FAQ
Is Gemini 3 Flash Max better than GPT-4.1 Reasoning?
On the index average, Gemini 3 Flash Max leads GPT-4.1 Reasoning by 1.2 points (85.0 versus 83.8). The better choice depends on price, context and your task. Gemini 3 Flash Max wins 7 benchmarks, GPT-4.1 Reasoning wins 5.
Which is cheaper, Gemini 3 Flash Max or GPT-4.1 Reasoning?
Gemini 3 Flash Max is cheaper on a blended 3:1 basis at about $28.93 per million tokens, versus $33.24 for GPT-4.1 Reasoning.
Which has the larger context window?
Both models list a 1,000,000-token context window.
Are these models open weights?
Gemini 3 Flash Max is proprietary; GPT-4.1 Reasoning is proprietary.
Which should I choose for production?
If you need a single default, start with Gemini 3 Flash Max for quality-sensitive work, and check whether its price holds at your expected volume before committing.