Head-to-head · frontier vs frontier

Gemini 3 Pro Pro vs o4 Max: which model should you choose?

We compared Gemini 3 Pro Pro and o4 Max on price, context window and 12 benchmarks. Gemini 3 Pro Pro has the stronger average benchmark score; o4 Max is cheaper on a blended 3:1 basis.

Google DeepMind

Gemini 3 Pro Pro

Gemini 3 Pro Pro is a frontier model from Google DeepMind. It offers a 200,000-token context window, costs $19.80 per million input tokens and $108.61 per million output tokens, and averages 87.3 across the index's benchmark suite.

Input
$19.80 / 1M
Output
$108.61 / 1M
Context
200,000
Avg score
87.3
Open weights
No
Full Gemini 3 Pro Pro page
OpenAI

o4 Max

o4 Max is a frontier model from OpenAI. It offers a 2,000,000-token context window, costs $19.51 per million input tokens and $93.98 per million output tokens, and averages 86.2 across the index's benchmark suite.

Input
$19.51 / 1M
Output
$93.98 / 1M
Context
2,000,000
Avg score
86.2
Open weights
No
Full o4 Max page

Specification comparison

SpecGemini 3 Pro Proo4 MaxEdge
Input price / 1M$19.80$19.51B
Output price / 1M$108.61$93.98B
Context window200,0002,000,000B
Max output8,19265,536B
Average score87.386.2A
Arena Elo1484.41486.0B
Open weightsNoNoTie

Benchmark comparison

Gemini 3 Pro Pro wins 10, o4 Max wins 2, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkGemini 3 Pro Proo4 MaxGapWinner
MMLU-Pro88.286.31.9Gemini 3 Pro Pro
GPQA Diamond81.480.11.3Gemini 3 Pro Pro
SWE-bench Verified75.779.84.1o4 Max
HumanEval95.094.60.4Gemini 3 Pro Pro
MATH-50091.690.61.0Gemini 3 Pro Pro
AIME 202588.084.83.2Gemini 3 Pro Pro
LiveCodeBench83.180.62.5Gemini 3 Pro Pro
IFEval92.791.11.6Gemini 3 Pro Pro
TruthfulQA87.687.10.5Gemini 3 Pro Pro
HellaSwag93.691.71.9Gemini 3 Pro Pro
MMMU83.281.91.3Gemini 3 Pro Pro
Arena Elo1484.41486.01.6o4 Max

Price analysis

On a blended 3:1 input-to-output basis, Gemini 3 Pro Pro costs about $42.00 per million tokens and o4 Max costs about $38.13. o4 Max is roughly 9% cheaper than Gemini 3 Pro Pro. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

o4 Max has the larger context window at 2,000,000 tokens, compared with 200,000 for Gemini 3 Pro Pro. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Gemini 3 Pro Pro wins 10, o4 Max wins 2, and 0 are tied. On the index average, Gemini 3 Pro Pro leads o4 Max by 1.1 points (87.3 versus 86.2).

The price picture favours o4 Max. The context picture favours o4 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 Gemini 3 Pro Pro for quality-sensitive work and o4 Max for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Choose Gemini 3 Pro Pro if

  • You want the higher average benchmark score in this index.

Choose o4 Max if

  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 2,000,000-token context window.
  • You need the larger 65,536-token output limit.

FAQ

Is Gemini 3 Pro Pro better than o4 Max?

On the index average, Gemini 3 Pro Pro leads o4 Max by 1.1 points (87.3 versus 86.2). The better choice depends on price, context and your task. Gemini 3 Pro Pro wins 10 benchmarks, o4 Max wins 2.

Which is cheaper, Gemini 3 Pro Pro or o4 Max?

o4 Max is cheaper on a blended 3:1 basis at about $38.13 per million tokens, versus $42.00 for Gemini 3 Pro Pro.

Which has the larger context window?

o4 Max has the larger context window at 2,000,000 tokens. Gemini 3 Pro Pro has 200,000 tokens.

Are these models open weights?

Gemini 3 Pro Pro is proprietary; o4 Max is proprietary.

Which should I choose for production?

If you need a single default, start with Gemini 3 Pro Pro for quality-sensitive work and o4 Max for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

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