Head-to-head · frontier vs frontier

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

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

Google DeepMind

Gemini 3 Pro Turbo

Gemini 3 Pro Turbo is a frontier model from Google DeepMind. It offers a 400,000-token context window, costs $19.62 per million input tokens and $89.91 per million output tokens, and averages 86.4 across the index's benchmark suite.

Input
$19.62 / 1M
Output
$89.91 / 1M
Context
400,000
Avg score
86.4
Open weights
No
Full Gemini 3 Pro Turbo page
OpenAI

o4 Pro

o4 Pro is a frontier model from OpenAI. It offers a 1,000,000-token context window, costs $19.37 per million input tokens and $70.19 per million output tokens, and averages 87.3 across the index's benchmark suite.

Input
$19.37 / 1M
Output
$70.19 / 1M
Context
1,000,000
Avg score
87.3
Open weights
No
Full o4 Pro page

Specification comparison

SpecGemini 3 Pro Turboo4 ProEdge
Input price / 1M$19.62$19.37B
Output price / 1M$89.91$70.19B
Context window400,0001,000,000B
Max output16,38416,384Tie
Average score86.487.3B
Arena Elo1494.91471.2A
Open weightsNoNoTie

Benchmark comparison

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

BenchmarkGemini 3 Pro Turboo4 ProGapWinner
MMLU-Pro85.687.72.1o4 Pro
GPQA Diamond81.082.71.7o4 Pro
SWE-bench Verified77.478.51.1o4 Pro
HumanEval90.392.11.8o4 Pro
MATH-50092.489.82.6Gemini 3 Pro Turbo
AIME 202582.889.97.1o4 Pro
LiveCodeBench82.781.80.9Gemini 3 Pro Turbo
IFEval93.490.92.5Gemini 3 Pro Turbo
TruthfulQA87.887.90.1o4 Pro
HellaSwag94.694.40.2Gemini 3 Pro Turbo
MMMU82.784.11.4o4 Pro
Arena Elo1494.91471.223.7Gemini 3 Pro Turbo

Price analysis

On a blended 3:1 input-to-output basis, Gemini 3 Pro Turbo costs about $37.19 per million tokens and o4 Pro costs about $32.08. o4 Pro is roughly 14% cheaper than Gemini 3 Pro Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

o4 Pro has the larger context window at 1,000,000 tokens, compared with 400,000 for Gemini 3 Pro Turbo. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Gemini 3 Pro Turbo wins 5, o4 Pro wins 7, and 0 are tied. On the index average, o4 Pro leads Gemini 3 Pro Turbo by 0.9 points (87.3 versus 86.4).

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

Choose Gemini 3 Pro Turbo if

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

Choose o4 Pro 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.

FAQ

Is Gemini 3 Pro Turbo better than o4 Pro?

On the index average, o4 Pro leads Gemini 3 Pro Turbo by 0.9 points (87.3 versus 86.4). The better choice depends on price, context and your task. Gemini 3 Pro Turbo wins 5 benchmarks, o4 Pro wins 7.

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

o4 Pro is cheaper on a blended 3:1 basis at about $32.08 per million tokens, versus $37.19 for Gemini 3 Pro Turbo.

Which has the larger context window?

o4 Pro has the larger context window at 1,000,000 tokens. Gemini 3 Pro Turbo has 400,000 tokens.

Are these models open weights?

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

Which should I choose for production?

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

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