Gemini 3.1 Pro
Google's frontier reasoning model delivering enhanced software engineering, agentic reliability, and multimodal intelligence across a 1M-token context window.
Google Frontier reasoning across a 1M-token context
Gemini 3.1 Pro is a frontier reasoning model developed by Google, released in February 2026 as a major upgrade to the Gemini 3 series. It supports multimodal inputs — including text, images, video, audio, and code — within a single model, and offers a context window of 1,048,576 tokens, equivalent to roughly 1,500 A4 pages. The model scores 77.1% on the ARC-AGI-2 benchmark and introduces a medium thinking level designed to balance cost, speed, and reasoning depth.
Gemini 3.1 Pro is built for developers, enterprises, and researchers working on demanding, multi-step workflows. It is particularly suited to agentic coding, structured planning, financial modeling, multimodal analysis, and workflow automation. The model is accessible through the Gemini API, Google AI Studio, Vertex AI, Gemini CLI, Android Studio, and the Gemini app for Pro and Ultra subscribers.
What Gemini 3.1 Pro supports
Long Context Window
Processes up to 1,048,576 tokens in a single request, enabling analysis of entire codebases, lengthy documents, or extended multi-turn conversations without truncation.
Multi-Step Reasoning
Applies structured reasoning chains to complex problems, achieving a 77.1% score on the ARC-AGI-2 benchmark across logic, planning, and inference tasks.
Multimodal Input
Accepts and reasons over text, images, video, audio, and code within a single unified model, without requiring separate specialized models per modality.
Agentic Task Execution
Supports autonomous, long-horizon task execution with improved tool orchestration and stability, suited for structured domains like finance and spreadsheet workflows.
Tool Use
Accepts tool definitions as inputs and can invoke external functions or APIs during a response, enabling integration with custom workflows and data sources.
Code Generation
Produces and analyzes code across multiple programming languages, with measurable gains on SWE benchmarks and real-world software engineering environments.
Configurable Thinking
Offers a medium thinking level setting that allows users to tune the trade-off between reasoning depth, response speed, and token cost per request.
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Get Started FreeBenchmark scores
Scores represent accuracy — the percentage of questions answered correctly on each test.
| Benchmark | What it tests | Score |
|---|---|---|
| GPQA Diamond | PhD-level science questions (biology, physics, chemistry) | 94.1% |
| HLE | Questions that challenge frontier models across many domains | 44.7% |
| SciCode | Scientific research coding and numerical methods | 58.9% |
| ARC-AGI-2 | Novel abstract reasoning and pattern recognition | 77.1% |
| SWE-bench Verified | Real GitHub issues requiring multi-file code fixes | 80.6% |
| SWE-bench Pro | Challenging real-world software engineering tasks | 54.2% |
| Terminal-Bench 2.0 | Agentic coding and terminal command tasks | 68.5% |
| τ²-bench Retail | Agentic tool use in retail scenarios | 90.8% |
| τ²-bench Telecom | Agentic tool use in telecom scenarios | 99.3% |
| MCP-Atlas Tool Use | Structured tool use via Model Context Protocol | 69.2% |
| BrowseComp | Complex web browsing and information retrieval | 85.9% |
| MMMLU | Multilingual and multimodal understanding | 92.6% |
Common questions about Gemini 3.1 Pro
What is the context window size for Gemini 3.1 Pro?
Gemini 3.1 Pro has a context window of 1,048,576 tokens, which is approximately equivalent to 1,500 A4 pages of text.
What is the training data cutoff for Gemini 3.1 Pro?
Based on the available metadata, Gemini 3.1 Pro has a training date of February 2026. For precise knowledge cutoff details, refer to the official model card on Google DeepMind.
What input types does Gemini 3.1 Pro support?
Gemini 3.1 Pro supports multimodal inputs including text, images, video, audio, and code. It also accepts tool definitions for function calling and configurable numeric parameters.
Where can I access Gemini 3.1 Pro?
The model is available through the Gemini API, Google AI Studio, Vertex AI, Gemini CLI, Android Studio, and the Gemini app for Pro and Ultra subscribers. It can also be accessed via OpenRouter.
What benchmarks has Gemini 3.1 Pro been evaluated on?
Gemini 3.1 Pro achieves a 77.1% score on the ARC-AGI-2 benchmark, which Google states effectively doubles the reasoning performance of Gemini 3 Pro. It has also been evaluated on SWE benchmarks for software engineering tasks.
What people think about Gemini 3.1 Pro
Community reception on r/singularity was largely positive at launch, with the benchmark announcement thread accumulating over 2,300 upvotes and 528 comments. Users frequently highlighted the ARC-AGI-2 score and the 1M-token context window as notable technical achievements.
Some community members raised questions about hallucination rates, with a dedicated thread asking whether Google had addressed accuracy issues seen in prior Gemini versions. Practical use cases discussed included coding assistance, long-document analysis, and agentic workflows.
Google releases Gemini 3.1 Pro with Benchmarks
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Documentation & links
Parameters & options
Must be less than Max Response Size
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