Gemini 3.1 Pro Preview

Gemini 3.1 Pro Preview by Google excels in the Coding category, where it ranks #21 with a composite score of 80/100. 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. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Gemini 3.1 Pro Preview is priced at $2.00 per million input tokens and $12.00 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Gemini 3.1 Pro Preview holds rank #21 out of 6 models tracked. Its quality rank is #21 and adoption rank is #21. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Gemini 3.1 Pro Preview has been evaluated across 6 different signals. Its strongest areas include Capabilities (83/100), Benchmarks (79/100), Pricing (88/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 80/100 reflects a weighted combination of all tracked signals.

Gemini 3.1 Pro Preview is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Google's website for current free tier availability and promotional offers.

Gemini 3.1 Pro Preview supports a 1,049K token context window (1,048,576 tokens total). That translates to roughly 786,432 words in a single prompt. This is large enough to process entire codebases, research papers, or long conversation histories in one shot.

Gemini 3.1 Pro Preview can generate up to 66K output tokens (65,536 tokens) per response. That is roughly 49,152 words. This is enough for generating complete code files, detailed reports, or long-form content in a single response.

Gemini 3.1 Pro Preview supports image understanding (vision), function/tool calling, structured JSON output, extended reasoning/chain-of-thought, streaming responses. Function calling lets you integrate it with external APIs and tools programmatically. Vision support means it can analyze images, screenshots, and diagrams alongside text. These capabilities determine which workflows and integrations the model can handle natively.

Gemini 3.1 Pro Preview was developed by Google. It was released on February 19, 2026. You can access it through Google's API. Check our provider page for all models from Google and how they compare against each other.

Pick Gemini 3.1 Pro Preview when you need top-tier performance and can justify the cost for quality-critical tasks like production code generation, complex reasoning, or enterprise deployments. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access Gemini 3.1 Pro Preview through Google's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.