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AI Choice Engine

Google

Gemini 3.1 Pro

Gemini 3.1 Pro is a Google model with 1.05M context, $2 in / $12 out per million tokens, last verified October 1, 2026. Open weights: no. Public-board scores are linked to the publisher; vendor-only figures stay in the watch-out, not on the board.

Gemini 3.1 Pro Preview is Google's multimodal Pro endpoint with a 1,048,576-token input limit and 65,536-token output limit.

Recorded profile verification October 1, 2026Individual provider fields may changeAccess: preview — The catalogued Gemini API ID remains a preview endpoint.

AI model specification details
SpecificationGemini 3.1 Pro
ProviderGoogle
TierFrontier
Context window1.05M
Max output66K
Input / 1M tokens$2
Output / 1M tokens$12
WeightsClosed
ParametersNot verifiedUnverified
Reasoning levelslow, medium, high
Modalitiestext, image, video, audio, pdf
API model idgemini-3.1-pro-preview
ReleasedFebruary 19, 2026

Pricing tiers: The current Gemini developer guide lists $2/$12 per MTok below 200K input and $4/$18 above 200K, including thinking output. It leaves the exact 200K boundary unspecified; confirm that boundary and other processing/cache tiers before budgeting. The exact API ID remains gemini-3.1-pro-preview. Restricted Gemini 4 Argon is a separate preview and does not make this endpoint stable.

Publisher evidence

Published benchmark results

Each result keeps its source date visible. Dates refer to source publication or capture unless the source explicitly states when it measured the result. A missing benchmark is not treated as a zero.

Published benchmark results for Gemini 3.1 Pro
BenchmarkScoreSource dateSource
SWE-bench Verified80.6%2026-02Google DeepMind model evaluation report (vendor, Thinking High, avg of 10 runs, +0.6 disclosed adjustment) · View source
GPQA Diamond94.3%2026-02Google DeepMind model evaluation report (vendor, no tools, pass@1) · View source
Humanity's Last Exam44.4%2026-02Google DeepMind model evaluation report (vendor, no tools; 51.4 with search+code) · View source
Terminal-Bench 2.173.8%2026-07Google DeepMind model evaluation report (vendor, Terminus-2; own Feb report separately reported TB 2.0 = 68.5 — versions preserved) · View source

Best for

  • Very long documents
  • Multimodal reasoning
  • Frontier knowledge work

Watch out

This API endpoint remains Preview. A separate customtools endpoint is optimized for bash/custom-tool workflows and can behave differently on other tasks. Keep endpoint, thinking level and benchmark version matched; restricted Gemini 4 Argon access is a separate lifecycle.

History

Gemini 3.1 Pro timeline

Release and status events for this model that passed two-source verification — dated, sourced, and linked.

Source receipts

Catalog figures for this model were checked against the following sources.

Common questions

Gemini 3.1 Pro

Answered from the verified figures on this page rather than general guidance.

How much does Gemini 3.1 Pro cost per million tokens?
Gemini 3.1 Pro lists base rates of $2 per million input tokens and $12 per million output tokens. Estimate both input and output token volume and any additional charges for your workload. The current Gemini developer guide lists $2/$12 per MTok below 200K input and $4/$18 above 200K, including thinking output. It leaves the exact 200K boundary unspecified; confirm that boundary and other processing/cache tiers before budgeting. The exact API ID remains gemini-3.1-pro-preview. Restricted Gemini 4 Argon is a separate preview and does not make this endpoint stable.
What is Gemini 3.1 Pro's context window?
Gemini 3.1 Pro accepts about 1.05M tokens of context. That only matters if you routinely send very long documents, large codebases, or multi-turn histories that approach that limit.
What is Gemini 3.1 Pro best for?
Gemini 3.1 Pro is a frontier tier from Google. It suits very long documents, multimodal reasoning, frontier knowledge work. This API endpoint remains Preview. A separate customtools endpoint is optimized for bash/custom-tool workflows and can behave differently on other tasks. Keep endpoint, thinking level and benchmark version matched; restricted Gemini 4 Argon access is a separate lifecycle.