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Gemini 3.1 Pro

Gemini 3.1 Pro is Google's newest Pro-tier Gemini model and is still offered as a preview. Launched on February 19, 2026, it handles text, images, video, audio and PDFs, and Google says it is tuned for software engineering behavior and usability.

By GoogleReleased February 19, 2026Data checked October 10, 2026
PreviewClosedFrontier

Specifications

Context window
1Mabout 786,000 words, or 1,570 pages
Max output
64Ktokens per response
Input price
$2per 1M tokens
Output price
$12per 1M tokens
Cached input
$0.20per 1M tokens
Weights
ClosedProprietary
Parameters
Undisclosed
Input types
Text, Images, Video, Audio, PDF
Output types
Text
Reasoning mode
Yes
Tool calling
Yes
Released
Feb 19, 2026Preview

Paid-tier rates for prompts up to 200K tokens; a larger prompt costs $4 input, $18 output and $0.40 caching. No free tier. Batch and Flex 50% off; Priority costs more. Cache storage $4.50 per 1M tokens per hour.

What it costs in practice

WorkloadMonthly cost at list price
Support chatbot30,000 conversations a month, 2,000 input and 400 output tokens each$264
Document summaries2,000 documents a month, 12,000 input and 800 output tokens each$67
Coding agent1,000 tasks a month, 60,000 input and 6,000 output tokens each$192

Standard rates, no caching or batch discounts. Run your own numbers.

Strengths

  • 1,048,576-token input limit and 65,536-token output limit
  • Accepts text, image, video, audio and PDF input
  • Supports search grounding, code execution and URL context

Trade-offs to weigh

  • Still a preview model, with no stable version listed as of October 2026
  • No free tier, and prompts over 200K tokens cost more

Where it fits

Google positions Gemini 3.1 Pro for:

reasoningcodingmultimodallong documentsresearch

Where you can use it

  • API
  • Google Vertex AI

Alternatives to consider

ModelTierContextInput / output per 1M
Grok 4.7xAIFrontier500K$2 / $6Compare
Qwen3.8-MaxAlibaba (Qwen)Frontier1M$2 / $6Compare
Claude Opus 5.5AnthropicFrontier1M$4 / $20Compare
Kimi K3Moonshot AIFrontier1M$3 / $15Compare

Frequently asked questions

How much does Gemini 3.1 Pro cost?

Gemini 3.1 Pro lists at $2 per million input tokens and $12 per million output tokens, with cached input at $0.20 (checked October 10, 2026). Paid-tier rates for prompts up to 200K tokens; a larger prompt costs $4 input, $18 output and $0.40 caching. No free tier. Batch and Flex 50% off; Priority costs more. Cache storage $4.50 per 1M tokens per hour. Confirm current rates on the provider's pricing page before you commit.

What is the context window of Gemini 3.1 Pro?

Gemini 3.1 Pro accepts up to 1,048,576 tokens of context (about 786,000 words, or 1,570 pages), and it can write up to 64K tokens in a single response. Long prompts cost more and can be slower, so most apps send only what the task needs.

Is Gemini 3.1 Pro open source?

No. Gemini 3.1 Pro is a proprietary model from Google; its weights aren't published. You can use it through the Google API and through Google Vertex AI.

What is Gemini 3.1 Pro best for?

Google positions Gemini 3.1 Pro for reasoning, coding, multimodal, long documents. It accepts text, images, video, audio, pdf as input, has a reasoning (thinking) mode and supports tool calling. Test it on a sample of your own tasks before you choose it for production.

Sources

  1. ai.google.dev/gemini-api/docs/models/gemini-3.1-pro-preview
  2. ai.google.dev/gemini-api/docs/pricing
  3. ai.google.dev/gemini-api/docs/models
  4. ai.google.dev/gemini-api/docs/changelog
  5. docs.perplexity.ai/docs/agent-api/models.md

Facts checked against these pages on October 10, 2026. Spot an error? Tell us.

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