Head-to-head · frontier vs frontier

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

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

o4 Turbo is a frontier model from OpenAI. It offers a 2,000,000-token context window, costs $19.34 per million input tokens and $82.19 per million output tokens, and averages 86.6 across the index's benchmark suite.

Input
$19.34 / 1M
Output
$82.19 / 1M
Context
2,000,000
Avg score
86.6
Open weights
No
Full o4 Turbo page

Specification comparison

SpecGemini 3 Pro Turboo4 TurboEdge
Input price / 1M$19.62$19.34B
Output price / 1M$89.91$82.19B
Context window400,0002,000,000B
Max output16,3848,192A
Average score86.486.6B
Arena Elo1494.91468.1A
Open weightsNoNoTie

Benchmark comparison

Gemini 3 Pro Turbo wins 6, o4 Turbo wins 6, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkGemini 3 Pro Turboo4 TurboGapWinner
MMLU-Pro85.688.12.5o4 Turbo
GPQA Diamond81.084.83.8o4 Turbo
SWE-bench Verified77.478.41.0o4 Turbo
HumanEval90.391.00.7o4 Turbo
MATH-50092.491.70.7Gemini 3 Pro Turbo
AIME 202582.885.93.1o4 Turbo
LiveCodeBench82.780.12.6Gemini 3 Pro Turbo
IFEval93.492.60.8Gemini 3 Pro Turbo
TruthfulQA87.888.81.0o4 Turbo
HellaSwag94.691.33.3Gemini 3 Pro Turbo
MMMU82.779.63.1Gemini 3 Pro Turbo
Arena Elo1494.91468.126.8Gemini 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 Turbo costs about $35.05. o4 Turbo is roughly 6% 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 Turbo has the larger context window at 2,000,000 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 6, o4 Turbo wins 6, and 0 are tied. On the index average, o4 Turbo leads Gemini 3 Pro Turbo by 0.2 points (86.6 versus 86.4).

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

Choose Gemini 3 Pro Turbo if

  • You need the larger 16,384-token output limit.

Choose o4 Turbo 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 2,000,000-token context window.

FAQ

Is Gemini 3 Pro Turbo better than o4 Turbo?

On the index average, o4 Turbo leads Gemini 3 Pro Turbo by 0.2 points (86.6 versus 86.4). The better choice depends on price, context and your task. Gemini 3 Pro Turbo wins 6 benchmarks, o4 Turbo wins 6.

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

o4 Turbo is cheaper on a blended 3:1 basis at about $35.05 per million tokens, versus $37.19 for Gemini 3 Pro Turbo.

Which has the larger context window?

o4 Turbo has the larger context window at 2,000,000 tokens. Gemini 3 Pro Turbo has 400,000 tokens.

Are these models open weights?

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

Which should I choose for production?

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

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