Gemini 3.1 Pro preview

Language Google Verified Preview Released Feb 19, 2026
  • In Input modalities: TextImageVideoAudioPDF Out Output modalities: Text
  • Reasoning· low, medium, high
  • Tool use
  • Structured output

Prices

2 offerings · prices as listed
Gemini API (opens in a new tab) Official Preview Global · USD gemini-3.1-pro-preview
Conditions/ 1M tokensInputCache readOutput
Standard $2.00$0.20$12.00
Prompts over 200K tokens $4.00$0.40$18.00
Flex tier $1.00$0.20$6.00
Priority tier $3.60$0.36$21.60
Batch $1.00$0.20$6.00
Prompts over 200K tokensFlex tier $2.00$0.40$9.00
Prompts over 200K tokensPriority tier $7.20$0.72$32.40
Prompts over 200K tokensBatch $2.00$0.40$9.00

Prices from Gemini API pricing (opens in a new tab) (checked Nov 8, 2026)

Standard: the price a request with no conditions pays (the headline price elsewhere on the site).

Details

Knowledge cutoff
Jan 2025
Open weights
—
Family
gemini-pro
Model ID

Not stated on Google’s pages: reasoning can be off, max thinking budget, aliases.

Cited scores

From third-party leaderboards, not measured by us
  • Epoch Capabilities Index 156.2

    #35 of 118 listed models · CI 154.6–158.1

  • LMArena Text 1,487

    #16 of 163 listed models · CI 1,484–1,490 · 132,347 votes

  • Epoch AI · Chess Puzzles 51%

    #16 of 85 listed models · high effort · ±5.02

  • Epoch AI · EBR-bench 14.3%

    #20 of 28 listed models

  • Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. Licensed CC BY 4.0. · License · as of Oct 28 – Nov 5, 2026
  • LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · License · as of Nov 8, 2026
  • EQ-Bench by Samuel J. Paech (eqbench.com; EQ-bench/EQ-bench-site on GitHub), MIT License. · License · as of Oct 24 – 28, 2026
  • LiveBench (White et al.), release 2026-06-25, livebench.ai, licensed CC BY-SA 4.0. This board, adapted from it, is shared under CC BY-SA 4.0. · License · as of Jun 25, 2026
  • changes we made

Provider-reported scores

Published by Google, under the conditions it states
BenchmarkSettingScore
Humanity's Last Examfull set, text + MM, no tools, thinking high44.4%
full set, text + MM, search (blocklist) + code, thinking high51.4%
GPQA Diamondno tools, pass@1, thinking high94.3%
Terminal-Bench 2.0Terminus-2 harness, thinking high68.5%
SWE-bench Verifiedsingle attempt, averaged over 10 runs, thinking high80.6%
SWE-bench Propublic set, single attempt, averaged over 5 runs, thinking high54.2%
τ²-benchretail, thinking high90.8%
telecom, thinking high99.3%
BrowseCompsearch + Python + browse (Deep Research), thinking high85.9%
MMMU-Prono tools, average of Standard (10 options) and Vision, thinking high80.5%
MMMLUthinking high92.6%
  1. 4 new prices on Gemini API Input (Prompts over 200K tokens, Batch) $2.00 · Output (Prompts over 200K tokens, Batch) $9.00 · Input (Prompts over 200K tokens, Priority tier) $7.20 · Output (Prompts over 200K tokens, Priority tier) $32.40

Sources

Google’s official policies: data use, privacy, terms →

Google · United States · ai.google.dev

Snapshots, the same family and other models from this provider