Google: Gemini 3.1 Pro Preview
Analysis Summary
Gemini 3.1 Pro Preview is Google's current frontier model, with an intelligence index of 57.2 and a coding index of 55.5, Its agentic index of 74.7 is world-class, and the model supports text, image, file, audio, and video input across a 1M token context window. Instruction following (ifbench 0.771) and long-context reasoning (lcr 0.727) are both among the best available.
For businesses, this is a top-tier choice for autonomous agents, complex software engineering, long-document analysis, and multimodal workflows. The breadth of input modalities, combined with tool use and function calling, makes it one of the most versatile models available for enterprise deployment. Pricing at $2 input and $12 output per million tokens is competitive for a model at this capability level.
Teams building sophisticated AI pipelines, coding agents, or multimodal applications will find Gemini 3.1 Pro Preview among the strongest options available. It is a direct competitor to Claude Opus 4.7 and GPT-5.3-Codex, and its multimodal breadth gives it a practical edge for teams processing diverse content types.
Assessed June 6, 2026
Editorial notes
Gemini 3.1 Pro Preview from Google leads on reasoning, coding, and agentic performance with a 1M token context, full multimodal input including audio and video, and competitive pricing at $2 input per million tokens.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Google: Gemini 3.1 Pro Preview compares
Google: Gemini 3.1 Pro Preview ranks #6 of 378 AI models we track for overall intelligence, #6 of 315 for coding, #5 of 289 for agentic tasks. Its 1M-token context window is larger than 97% of the models we list. At $2.00 per million input tokens it is cheaper than 16% of comparable models.
About Google: Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview is Googleās frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Google: Gemini 3.1 Pro Preview stack up?
Compare side-by-side with other frontier models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.00 | $0.002000 |
| Output | $12.00 | $0.012000 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
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Frequently asked questions about Google: Gemini 3.1 Pro Preview
How much does Google: Gemini 3.1 Pro Preview cost?
Google: Gemini 3.1 Pro Preview costs $2.00 per million input tokens and $12.00 per million output tokens.
What is the context window of Google: Gemini 3.1 Pro Preview?
Google: Gemini 3.1 Pro Preview has a context window of 1,048,576 tokens (1M).
Is Google: Gemini 3.1 Pro Preview good for coding?
On our coding benchmark index, Google: Gemini 3.1 Pro Preview ranks #6 of 315 models, placing it in the top quartile of the field for code generation and debugging.
What can Google: Gemini 3.1 Pro Preview do?
Google: Gemini 3.1 Pro Preview supports image/vision input, tool use, and function calling.
Who created Google: Gemini 3.1 Pro Preview?
Google: Gemini 3.1 Pro Preview is developed by Google and was released on February 19, 2026.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 11, 2026 8:38 pm