Head-to-head · frontier vs frontier

Gemini 3 Pro Max vs GPT-5.2 Pro: which model should you choose?

We compared Gemini 3 Pro Max and GPT-5.2 Pro on price, context window and 12 benchmarks. GPT-5.2 Pro has the stronger average benchmark score; GPT-5.2 Pro 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-5.2 Pro

GPT-5.2 Pro is a frontier model from OpenAI. It offers a 2,000,000-token context window, costs $21.32 per million input tokens and $76.33 per million output tokens, and averages 89.6 across the index's benchmark suite.

Input
$21.32 / 1M
Output
$76.33 / 1M
Context
2,000,000
Avg score
89.6
Open weights
No
Full GPT-5.2 Pro page

Specification comparison

SpecGemini 3 Pro MaxGPT-5.2 ProEdge
Input price / 1M$20.57$21.32A
Output price / 1M$112.92$76.33B
Context window2,000,0002,000,000Tie
Max output128,00032,768A
Average score87.989.6B
Arena Elo1477.51485.0B
Open weightsNoNoTie

Benchmark comparison

Gemini 3 Pro Max wins 1, GPT-5.2 Pro wins 10, and 1 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkGemini 3 Pro MaxGPT-5.2 ProGapWinner
MMLU-Pro89.591.62.1GPT-5.2 Pro
GPQA Diamond81.883.21.4GPT-5.2 Pro
SWE-bench Verified76.681.75.1GPT-5.2 Pro
HumanEval91.996.84.9GPT-5.2 Pro
MATH-50092.191.80.3Gemini 3 Pro Max
AIME 202589.691.01.4GPT-5.2 Pro
LiveCodeBench83.684.61.0GPT-5.2 Pro
IFEval94.795.60.9GPT-5.2 Pro
TruthfulQA89.690.00.4GPT-5.2 Pro
HellaSwag92.695.32.7GPT-5.2 Pro
MMMU84.484.40.0Tie
Arena Elo1477.51485.07.5GPT-5.2 Pro

Price analysis

On a blended 3:1 input-to-output basis, Gemini 3 Pro Max costs about $43.66 per million tokens and GPT-5.2 Pro costs about $35.07. GPT-5.2 Pro is roughly 20% 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.

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, Gemini 3 Pro Max wins 1, GPT-5.2 Pro wins 10, and 1 are tied. On the index average, GPT-5.2 Pro leads Gemini 3 Pro Max by 1.7 points (89.6 versus 87.9).

The price picture favours GPT-5.2 Pro. 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 Pro 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 128,000-token output limit.

Choose GPT-5.2 Pro 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-5.2 Pro?

On the index average, GPT-5.2 Pro leads Gemini 3 Pro Max by 1.7 points (89.6 versus 87.9). The better choice depends on price, context and your task. Gemini 3 Pro Max wins 1 benchmarks, GPT-5.2 Pro wins 10.

Which is cheaper, Gemini 3 Pro Max or GPT-5.2 Pro?

GPT-5.2 Pro is cheaper on a blended 3:1 basis at about $35.07 per million tokens, versus $43.66 for Gemini 3 Pro Max.

Which has the larger context window?

Both models list a 2,000,000-token context window.

Are these models open weights?

Gemini 3 Pro Max is proprietary; GPT-5.2 Pro is proprietary.

Which should I choose for production?

If you need a single default, start with GPT-5.2 Pro for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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