Google: Gemini 3.1 Pro Preview

File input Image input Audio input Text input Video input Text output
Author's Description

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation of the Gemini 3 series, it combines high-precision reasoning across text, image, video, audio, and code with a 1M-token context window. Reasoning Details must be preserved when using multi-turn tool calling, see our docs here: https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning. The 3.1 update introduces measurable gains in SWE benchmarks and real-world coding environments, along with stronger autonomous task execution in structured domains such as finance and spreadsheet-based workflows. Designed for advanced development and agentic systems, Gemini 3.1 Pro Preview improves long-horizon stability and tool orchestration while increasing token efficiency. It introduces a new medium thinking level to better balance cost, speed, and performance. The model excels in agentic coding, structured planning, multimodal analysis, and workflow automation, making it well-suited for autonomous agents, financial modeling, spreadsheet automation, and high-context enterprise tasks.

Key Specifications
Cost
$$$$$
Context
1M
Released
Feb 19, 2026
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Tools Response Format Structured Outputs Temperature Top P Tool Choice Max Tokens Seed Stop Reasoning Include Reasoning
Features

This model supports the following features:

Reasoning Structured Outputs Tools Response Format
Performance Summary

Google's Gemini 3.1 Pro Preview, a frontier reasoning model created on February 19, 2026, demonstrates a strong performance profile, particularly in reliability and specific accuracy benchmarks. While its speed performance is moderate, ranking in the 21st percentile, its pricing tends to be premium, positioned in the 5th percentile. A standout feature is its exceptional reliability, achieving a perfect 100% success rate across all 8 benchmarks, indicating minimal technical failures and consistent response delivery. The model excels in critical areas such as Hallucinations, Reasoning, and Ethics, achieving 100% accuracy in these categories, often at competitive costs and speeds within their respective benchmarks. It also shows high accuracy in Instruction Following (93.9%), Coding (96.0%), and Mathematics (95.9%), indicating robust capabilities in complex problem-solving and technical tasks. Its General Knowledge is solid at 99.5%. A relative weakness appears in Email Classification, where its 98.0% accuracy, while good, places it in the 53rd percentile, suggesting room for improvement compared to other models in this specific task. Designed for advanced development and agentic systems, Gemini 3.1 Pro Preview's strengths lie in its high-precision reasoning across multimodal inputs, enhanced software engineering performance, and efficient token usage for complex workflows, making it well-suited for autonomous agents and high-context enterprise tasks.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $2
Completion $12
Input Cache Read $0.2
Input Cache Write $0.375
Internal Reasoning $12

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Google
Google | google/gemini-3.1-pro-preview-20260219 1M $2 / 1M tokens $12 / 1M tokens
Google AI Studio
Google AI Studio | google/gemini-3.1-pro-preview-20260219 1M $2 / 1M tokens $12 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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