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.
Google
Gemini 3.1 Pro
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.
Feb 19, 2026
1,048,576 context
65,536 tokens output
Long Context Window
Multi-Step Reasoning
Multimodal Input
Agentic Task Execution
Tool Use
Code Generation
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
Google
Model ID
The routed model identifier exposed by upstream providers.
google/gemini-3.1-pro-preview
Input Context Window
The number of tokens supported by the input context window.
1,048,576
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
65,536 tokens
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Feb 19, 2026
5 months ago
Knowledge Cut-off Date
When the model's knowledge was last updated.
February 2026
API Providers
The providers that offer this model. This is not an exhaustive list.
Google, Vertex AI, Gemini API, Google AI Studio
Modalities
Types of data this model can process.
Text
Image
Audio
Video
Code
File
What is Gemini 3.1 Pro
A fuller summary of positioning, capabilities, and source-specific details for Gemini 3.1 Pro.
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.
Capabilities
What Gemini 3.1 Pro supports
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.
Pricing for Gemini 3.1 Pro
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
$2.00
Per million tokens
Output tokens
$12.00
Per million tokens
Price Comparison
Additional usage-cost dimensions synced into the project for this model.
Image input
$2.00
Audio input
$2.00
Web search
$14000.00
Reasoning
$12.00
Cache read
$0.20
Cache write
$0.38
maxTemperature
2
maxResponseSize
65,536 tokens
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
Google
Vertex AI
Gemini API
Google AI Studio
Provider Endpoints
Endpoint-level provider data currently available for this model.
Google AI Studio
Google AI Studio
Google AI Studio
Configuration & Parameters
The configurable options currently documented for this model.
Thinking Budget
SelectThinking Budget Limit
NumberMust be less than Max Response Size
Priority Mode
SelectSupported Request Parameters
Parameters currently listed by OpenRouter or the local catalog for this model.
Model Performance
Benchmark scores synced from the current model source and normalized into the local catalog.
| Benchmark | Score |
|---|---|
|
ARC-AGI-2
Novel abstract reasoning and pattern recognition
|
|
|
BrowseComp
Complex web browsing and information retrieval
|
|
|
GPQA Diamond
PhD-level science questions (biology, physics, chemistry)
|
|
|
HLE
Questions that challenge frontier models across many domains
|
|
|
MCP-Atlas Tool Use
Structured tool use via Model Context Protocol
|
|
|
MMMLU
Multilingual and multimodal understanding
|
|
|
SciCode
Scientific research coding and numerical methods
|
|
|
SWE-bench Pro
Challenging real-world software engineering tasks
|
|
|
SWE-bench Verified
Real GitHub issues requiring multi-file code fixes
|
|
|
Terminal-Bench 2.0
Agentic coding and terminal command tasks
|
|
|
τ²-bench Retail
Agentic tool use in retail scenarios
|
|
|
τ²-bench Telecom
Agentic tool use in telecom scenarios
|
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Announcement Blog Post
Announcements
→
Model Card
Documentation
→
OpenRouter API Reference
Other
→
Gemini API Release Notes
Documentation
→
Independent Benchmark Analysis
Other
→
Google AI Studio
Playground
→
Gemini API Documentation
Documentation
→
Vertex AI Model Garden
Documentation
→
OpenRouter Model Page
OpenRouter
→
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Community discussion
What people think about Gemini 3.1 Pro
Gemini 3.1 Pro discussions are most active in r/GeminiAI, r/singularity, r/accelerate.
Top Reddit threads cluster around benchmark and model-comparison threads, safety and censorship questions, coding workflow discussions. The strongest match in this snapshot has 685 upvotes and 177 comments.
I may be late to the party, but I‘ve been using the free 300$ google gemini trial through Vertex since mid-March.
I was mostly using Gemini 3.0 pro preview, and it was good! It had its issues, but it was smart, could connect the dots, and was advancing the plot without having to he told. It was a improvement on Gemini 2..5 Pro. And as someone who loves to do long RPG roleplays in pre-existing universes, it was the best model I‘ve tried.
Then around early March, it seems Gemini 3.0 was discontinued, and it wasn’t available anymore. I just switched to 3.1 thinking it must be better since it’s advertised as an upgrade…
..But it’s somehow worse. The characters are flat, it doesn’t seem to connect the dots as well, the worlds feel less alive, and the dialogues are meh. I’ve resumed chats I’ve started with 3.0 and the characters are so different it kinda breaks immersion. The prose is good, but its reasoning seems way less complex. It’s like a more flowery but dumber 2.5 pro.
It‘s not a bad model per se, but compared to its predecessor it’s just very bland. Is there a chance it will get better in a few days/weeks ?
GOOGLE MIGHT BE PREPARING GEMINI 3.1 PRO PREVIEW FOR RELEASE!
The same reference has been spotted on the Artificial Analysys Arena earlier.
Source: x -> testingcatalog/status/2021718211662614927
x -> synthwavedd/status/2021707113177747545
More info (transcripts, model dossiers, quotes): [https://github.com/lechmazur/persuasion](https://github.com/lechmazur/persuasion)
15 models, 6,296 conversations, 15 topics.
Stance is measured on a 7-point scale (-3 to +3), probed 3 times before and 3 times after the conversation. Signed shift > 0 means the target moved toward the persuader's side. 4 persuasion turns per side.
A model has to identify the other side's real hinge point, adapt to what's actually being said, and maintain directional pressure across multiple turns. Fluent ≠ persuasive.
FAQ
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.
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