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Gemini 3.1 Pro

Google's latest frontier model with expanded reasoning.

The Gemini 3.1 Pro, part of Google's Gemini AI model family, is a flagship multimodal model released in late 2023, designed to handle a wide range of enterprise-grade applications. It integrates advanced multimodal processing capabilities across text, audio, image, video, and file inputs, allowing it to generate contextually accurate and seamless outputs across modalities. With an exceptionally large context window of up to 1,048,576 tokens, it excels at handling long-form, complex inputs, catering to advanced workflows requiring both precision and scalability.

Technically, the Gemini 3.1 Pro is built on an optimized transformer architecture that prioritizes efficiency and coherence, supported by specialized pretraining and fine-tuning for nuanced multimodal understanding. It exhibits high performance in synthesizing and generating insights from multiple data types, making it a robust choice for applications demanding integration across diverse input sources.

Gemini 3.1 Pro marks a significant evolution within Google's Gemini series, succeeding previous versions with expanded multimodal processing abilities and an extended context window. Positioned as the flagship model, it highlights advancements in scalability and capability, tailored for enterprise-level and high-demand applications.

Background

Gemini is a family of multimodal large language models (LLMs) developed by Google DeepMind, and the successor to LaMDA and PaLM 2. Comprising Gemini Pro, Gemini Deep Think, Gemini Flash, and Gemini Flash Lite, it was announced on December 6, 2023. It powers the chatbot of the same name.

Wikipedia

Specs

Context window: 1.0M tokens
Max output: 66K tokens
Input ($/1M tokens): $2.00
Output ($/1M tokens): $12.00
Modalities: Audio · File · Image · Text · Video
Weights: Closed

Pricing last synced Apr 27, 2026 via OpenRouter. Confirm against official docs before committing.

Capabilities

Tool use
Vision
Extended thinking
Prompt caching
Open weights

What it excels at

Multimodal Processing
Processes and integrates text, audio, image, video, and file inputs seamlessly.
Extended Context Window
Handles up to 1,048,576 tokens, enabling long-form and intricate input processing.
Enterprise-Grade Scalability
Supports high-complexity workflows with robust performance and reliability.
High-Quality Outputs
Delivers coherent and contextually accurate results across diverse modalities.
Efficient Architecture
Designed for optimized performance across multimodal and large-scale tasks.

When to use this model

→Content Creation and Analysis — Combines multimodal inputs and extended context to generate or analyze complex media-rich content.
→Technical Support Automation — Handles diverse customer queries with multimodal understanding for robust automated support.
→Multimedia Summarization — Processes long documents, videos, or audio to generate accurate summaries leveraging contextual depth.
→Cross-Media Analytics — Integrates data from text, audio, video, and other sources for comprehensive analysis.
→Enterprise Document Processing — Efficiently manages and summarizes large-scale reports and data sets across modalities.

Analysis synthesized from gpt-4o, llama-4-maverick, phi-4, etc.

API model id

gemini-3.1-pro-preview

Vendor docs: ai.google.dev/docs

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