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Gemini 3.1 Pro

Google · Flagship · Feb 19, 2026Preview

Google's Pro-tier model on the public API, in preview since February 2026 and tuned for software engineering and precise tool use.

Model documentation (opens in a new tab)
Artificial Analysis Intelligence Index
29.7#22 of 29
API price per 1M tokens
$2 / $12input / output · $4.50 blended
Context window
1Mup to 66K output tokens
Output speed
122 t/s23s to first answer

Benchmark results

Each row shows this model (blue) against every other model in the catalogue (grey), worst on the left, best on the right.

Overall capability

  • Artificial Analysis Intelligence Index29.7#22 of 29
    11.357.6
  • LiveBench77%#12 of 23

    High effort

    63.9%83.4%

Coding

  • Arena WebDev1,447#23 of 27
    1,2631,814

Reasoning

  • SimpleBench79.6%#7 of 12
    45.8%88.4%

Knowledge & science

  • GPQA Diamond94.4%#5 of 14
    90.2%95.8%

Multimodal

  • Arena Vision1,279#7 of 15
    1,1991,301

Human preference

  • Arena Text1,487#7 of 24
    1,4251,525

Specs & pricing

Developer
Google
Released
Feb 19, 2026
Availability
Preview
API model ID
gemini-3.1-pro-preview
Weights
Proprietary (API only)
Reasoning
Adjustable effort
Accepts
Text, Image, Video, Audio
Produces
Text
Context window
1,048,576 tokens
Max output
65,536 tokens
Input price
$2 / 1M tokens
Output price
$12 / 1M tokens
Cached input
$0.20 / 1M tokens

Prompts over 200K tokens are billed at $4 input / $18 output per 1M tokens.

Closest alternatives

Models from other labs nearest to Gemini 3.1 Pro on Artificial Analysis Intelligence Index.

  • MiniMax M3

    MiniMax

    Intelligence 29.2 · $0.30 / $1.20

    Compare side by side

  • Kimi K2.7 Code

    Moonshot AI

    Intelligence 25.8 · $0.95 / $4

    Compare side by side

  • Qwen3.8-27B

    Alibaba

    Intelligence 33.7 · $0.50 / $3

    Compare side by side

Sources

  • Model documentation (opens in a new tab)
  • Model card (opens in a new tab)
  • Pricing (opens in a new tab)
Yardstick

A plain reading of how today’s SI models compare. Scores are taken from each benchmark’s own leaderboard wherever one exists; anything a lab reported about its own model is marked.

Data as of Oct 8, 2026.

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Sources

  • Artificial Analysis (opens in a new tab)
  • Arena (opens in a new tab)
  • Epoch AI Benchmarking Hub (opens in a new tab)
  • ARC Prize (opens in a new tab)
  • Terminal-Bench (opens in a new tab)
  • Scale AI Labs (opens in a new tab)

Yardstick is an independent reference and is not affiliated with, sponsored by or endorsed by any lab listed. Product names and logos are trademarks of their respective owners and are used only to identify them. Benchmarks are imperfect proxies: check a model on your own task before you commit to it.

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