Google
Google
Frontier

Gemini 3.1 Pro

Frontier

A mid-cycle upgrade to Gemini 3 Pro, released after rapid iteration on feedback from the November 3 Pro launch. Google positions it for the most complex tasks, with the clearest gains in ambitious agentic workflows. Keeps the 1M-token context window and full multimodal input.

Gemini 3.1 Pro is a frontier AI model from Google. It costs $2.000 per million input tokens and $12.000 per million output tokens (blended $5.000/M), with a 1,000,000-token context window.

INPUT
$2.000/M
per million input tokens
OUTPUT
$12.000/M
per million output tokens
BLENDED 70/30
$5.000/M
unchanged since 3 May
CONTEXT
1,000,000
tokens
What it is good at
  • Agentic workflow execution
  • Complex multi-step reasoning
  • 1M-token context
  • Text, image, audio and video input
Typical use cases
  • Long-horizon agent runs
  • Complex analysis over mixed media
  • Multi-file coding tasks
  • Tool-chaining workflows

Benchmarks

No published benchmark scores tracked for this model yet. Frontier and reasoning models from major providers have scores; smaller models and inference-host variants typically inherit the underlying open-weights score.

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Frequently asked questions

How much does Gemini 3.1 Pro cost?

Gemini 3.1 Pro costs $2.000 per million input tokens and $12.000 per million output tokens, for a blended reference rate of $5.000 per million tokens.

What is Gemini 3.1 Pro's context window?

Gemini 3.1 Pro supports up to 1,000,000 tokens of context in a single request.

What is Gemini 3.1 Pro best for?

Gemini 3.1 Pro is well suited to Agentic workflow execution, Complex multi-step reasoning and 1M-token context.

Who makes Gemini 3.1 Pro?

Gemini 3.1 Pro is developed and served by Google.

Compared with

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