Head-to-head · frontier vs frontier

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

We compared Gemini 3 Pro Pro and o4 Reasoning on price, context window and 12 benchmarks. o4 Reasoning has the stronger average benchmark score; o4 Reasoning 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 Reasoning

o4 Reasoning is a frontier model from OpenAI. It offers a 1,000,000-token context window, costs $19.69 per million input tokens and $103.53 per million output tokens, and averages 87.5 across the index's benchmark suite.

Input
$19.69 / 1M
Output
$103.53 / 1M
Context
1,000,000
Avg score
87.5
Open weights
No
Full o4 Reasoning page

Specification comparison

SpecGemini 3 Pro Proo4 ReasoningEdge
Input price / 1M$19.80$19.69B
Output price / 1M$108.61$103.53B
Context window200,0001,000,000B
Max output8,192128,000B
Average score87.387.5B
Arena Elo1484.41472.2A
Open weightsNoNoTie

Benchmark comparison

Gemini 3 Pro Pro wins 5, o4 Reasoning wins 7, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkGemini 3 Pro Proo4 ReasoningGapWinner
MMLU-Pro88.286.12.1Gemini 3 Pro Pro
GPQA Diamond81.484.02.6o4 Reasoning
SWE-bench Verified75.776.40.7o4 Reasoning
HumanEval95.090.24.8Gemini 3 Pro Pro
MATH-50091.694.83.2o4 Reasoning
AIME 202588.090.32.3o4 Reasoning
LiveCodeBench83.183.40.3o4 Reasoning
IFEval92.794.51.8o4 Reasoning
TruthfulQA87.689.01.4o4 Reasoning
HellaSwag93.692.41.2Gemini 3 Pro Pro
MMMU83.281.81.4Gemini 3 Pro Pro
Arena Elo1484.41472.212.2Gemini 3 Pro Pro

Price analysis

On a blended 3:1 input-to-output basis, Gemini 3 Pro Pro costs about $42.00 per million tokens and o4 Reasoning costs about $40.65. o4 Reasoning is roughly 3% 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 Reasoning has the larger context window at 1,000,000 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 5, o4 Reasoning wins 7, and 0 are tied. On the index average, o4 Reasoning leads Gemini 3 Pro Pro by 0.2 points (87.5 versus 87.3).

The price picture favours o4 Reasoning. The context picture favours o4 Reasoning. 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 o4 Reasoning for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose Gemini 3 Pro Pro if

  • You prefer Google DeepMind's tooling or already use it.

Choose o4 Reasoning 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 1,000,000-token context window.
  • You need the larger 128,000-token output limit.

FAQ

Is Gemini 3 Pro Pro better than o4 Reasoning?

On the index average, o4 Reasoning leads Gemini 3 Pro Pro by 0.2 points (87.5 versus 87.3). The better choice depends on price, context and your task. Gemini 3 Pro Pro wins 5 benchmarks, o4 Reasoning wins 7.

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

o4 Reasoning is cheaper on a blended 3:1 basis at about $40.65 per million tokens, versus $42.00 for Gemini 3 Pro Pro.

Which has the larger context window?

o4 Reasoning has the larger context window at 1,000,000 tokens. Gemini 3 Pro Pro has 200,000 tokens.

Are these models open weights?

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

Which should I choose for production?

If you need a single default, start with o4 Reasoning for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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