Head-to-head · frontier vs frontier

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

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

Google DeepMind

Gemini 3 Pro Reasoning

Gemini 3 Pro Reasoning is a frontier model from Google DeepMind. It offers a 200,000-token context window, costs $19.69 per million input tokens and $98.36 per million output tokens, and averages 87.5 across the index's benchmark suite.

Input
$19.69 / 1M
Output
$98.36 / 1M
Context
200,000
Avg score
87.5
Open weights
No
Full Gemini 3 Pro Reasoning page
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

Specification comparison

SpecGemini 3 Pro ReasoningGemini 3 Pro TurboEdge
Input price / 1M$19.69$19.62B
Output price / 1M$98.36$89.91B
Context window200,000400,000B
Max output8,19216,384B
Average score87.586.4A
Arena Elo1485.01494.9B
Open weightsNoNoTie

Benchmark comparison

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

BenchmarkGemini 3 Pro ReasoningGemini 3 Pro TurboGapWinner
MMLU-Pro90.185.64.5Gemini 3 Pro Reasoning
GPQA Diamond83.981.02.9Gemini 3 Pro Reasoning
SWE-bench Verified76.377.41.1Gemini 3 Pro Turbo
HumanEval90.290.30.1Gemini 3 Pro Turbo
MATH-50093.392.40.9Gemini 3 Pro Reasoning
AIME 202588.882.86.0Gemini 3 Pro Reasoning
LiveCodeBench82.082.70.7Gemini 3 Pro Turbo
IFEval93.893.40.4Gemini 3 Pro Reasoning
TruthfulQA90.387.82.5Gemini 3 Pro Reasoning
HellaSwag93.594.61.1Gemini 3 Pro Turbo
MMMU80.882.71.9Gemini 3 Pro Turbo
Arena Elo1485.01494.99.9Gemini 3 Pro Turbo

Price analysis

On a blended 3:1 input-to-output basis, Gemini 3 Pro Reasoning costs about $39.36 per million tokens and Gemini 3 Pro Turbo costs about $37.19. Gemini 3 Pro Turbo is roughly 6% cheaper than Gemini 3 Pro Reasoning. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Gemini 3 Pro Turbo has the larger context window at 400,000 tokens, compared with 200,000 for Gemini 3 Pro Reasoning. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Gemini 3 Pro Reasoning wins 6, Gemini 3 Pro Turbo wins 6, and 0 are tied. On the index average, Gemini 3 Pro Reasoning leads Gemini 3 Pro Turbo by 1.1 points (87.5 versus 86.4).

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

Choose Gemini 3 Pro Reasoning if

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

Choose Gemini 3 Pro Turbo if

  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 400,000-token context window.
  • You need the larger 16,384-token output limit.

FAQ

Is Gemini 3 Pro Reasoning better than Gemini 3 Pro Turbo?

On the index average, Gemini 3 Pro Reasoning leads Gemini 3 Pro Turbo by 1.1 points (87.5 versus 86.4). The better choice depends on price, context and your task. Gemini 3 Pro Reasoning wins 6 benchmarks, Gemini 3 Pro Turbo wins 6.

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

Gemini 3 Pro Turbo is cheaper on a blended 3:1 basis at about $37.19 per million tokens, versus $39.36 for Gemini 3 Pro Reasoning.

Which has the larger context window?

Gemini 3 Pro Turbo has the larger context window at 400,000 tokens. Gemini 3 Pro Reasoning has 200,000 tokens.

Are these models open weights?

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

Which should I choose for production?

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

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