Head-to-head · frontier vs frontier

Gemini 3 Pro Max vs GPT-5.1 Reasoning: which model should you choose?

We compared Gemini 3 Pro Max and GPT-5.1 Reasoning on price, context window and 12 benchmarks. GPT-5.1 Reasoning has the stronger average benchmark score; GPT-5.1 Reasoning is cheaper on a blended 3:1 basis.

Google DeepMind

Gemini 3 Pro Max

Gemini 3 Pro Max is a frontier model from Google DeepMind. It offers a 2,000,000-token context window, costs $20.57 per million input tokens and $112.92 per million output tokens, and averages 87.9 across the index's benchmark suite.

Input
$20.57 / 1M
Output
$112.92 / 1M
Context
2,000,000
Avg score
87.9
Open weights
No
Full Gemini 3 Pro Max page
OpenAI

GPT-5.1 Reasoning

GPT-5.1 Reasoning is a frontier model from OpenAI. It offers a 400,000-token context window, costs $20.27 per million input tokens and $82.11 per million output tokens, and averages 88.3 across the index's benchmark suite.

Input
$20.27 / 1M
Output
$82.11 / 1M
Context
400,000
Avg score
88.3
Open weights
No
Full GPT-5.1 Reasoning page

Specification comparison

SpecGemini 3 Pro MaxGPT-5.1 ReasoningEdge
Input price / 1M$20.57$20.27B
Output price / 1M$112.92$82.11B
Context window2,000,000400,000A
Max output128,000128,000Tie
Average score87.988.3B
Arena Elo1477.51485.9B
Open weightsNoNoTie

Benchmark comparison

Gemini 3 Pro Max wins 4, GPT-5.1 Reasoning wins 8, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkGemini 3 Pro MaxGPT-5.1 ReasoningGapWinner
MMLU-Pro89.590.00.5GPT-5.1 Reasoning
GPQA Diamond81.885.63.8GPT-5.1 Reasoning
SWE-bench Verified76.676.00.6Gemini 3 Pro Max
HumanEval91.992.91.0GPT-5.1 Reasoning
MATH-50092.195.93.8GPT-5.1 Reasoning
AIME 202589.685.04.6Gemini 3 Pro Max
LiveCodeBench83.680.92.7Gemini 3 Pro Max
IFEval94.794.60.1Gemini 3 Pro Max
TruthfulQA89.690.00.4GPT-5.1 Reasoning
HellaSwag92.694.41.8GPT-5.1 Reasoning
MMMU84.486.21.8GPT-5.1 Reasoning
Arena Elo1477.51485.98.4GPT-5.1 Reasoning

Price analysis

On a blended 3:1 input-to-output basis, Gemini 3 Pro Max costs about $43.66 per million tokens and GPT-5.1 Reasoning costs about $35.73. GPT-5.1 Reasoning is roughly 18% cheaper than Gemini 3 Pro Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Gemini 3 Pro Max has the larger context window at 2,000,000 tokens, compared with 400,000 for GPT-5.1 Reasoning. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Gemini 3 Pro Max wins 4, GPT-5.1 Reasoning wins 8, and 0 are tied. On the index average, GPT-5.1 Reasoning leads Gemini 3 Pro Max by 0.4 points (88.3 versus 87.9).

The price picture favours GPT-5.1 Reasoning. The context picture favours Gemini 3 Pro 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-5.1 Reasoning for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose Gemini 3 Pro Max if

  • You need the larger 2,000,000-token context window.

Choose GPT-5.1 Reasoning if

  • You want the higher average benchmark score in this index.
  • Unit cost matters and you want the cheaper blended price.

FAQ

Is Gemini 3 Pro Max better than GPT-5.1 Reasoning?

On the index average, GPT-5.1 Reasoning leads Gemini 3 Pro Max by 0.4 points (88.3 versus 87.9). The better choice depends on price, context and your task. Gemini 3 Pro Max wins 4 benchmarks, GPT-5.1 Reasoning wins 8.

Which is cheaper, Gemini 3 Pro Max or GPT-5.1 Reasoning?

GPT-5.1 Reasoning is cheaper on a blended 3:1 basis at about $35.73 per million tokens, versus $43.66 for Gemini 3 Pro Max.

Which has the larger context window?

Gemini 3 Pro Max has the larger context window at 2,000,000 tokens. GPT-5.1 Reasoning has 400,000 tokens.

Are these models open weights?

Gemini 3 Pro Max is proprietary; GPT-5.1 Reasoning is proprietary.

Which should I choose for production?

If you need a single default, start with GPT-5.1 Reasoning for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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