Gemini · Model guide

Gemini 3.1 Pro Preview

Q: What is Gemini 3.1 Pro Preview?

Gemini 3.1 Pro Preview is available on CrossModel as gemini/gemini-3.1-pro-preview. It has a 1M-token context window and can return up to 66K tokens per request.

Q: How much does Gemini 3.1 Pro Preview cost?

Currently $ 2.00 per 1M input tokens and $ 12.00 per 1M output tokens. Cached input is billed at $ 0.20 per 1M.

Q: Does Gemini 3.1 Pro Preview support tool calling and structured output?

Tool calling: Supported · Structured output (JSON): Supported · Image input: Supported · Streaming: Supported · Thinking mode: Supported

Q: Which endpoint do I call?

For text models, OpenAI Chat Completions (/v1/chat/completions), OpenAI Responses (/v1/responses) and Anthropic Messages (/v1/messages) all work — pick whichever your SDK already speaks.

Q: Can I try it without writing code?

Yes. Sign in and open the Playground on this page to chat with the model directly — no API key needed. Usage is billed from your wallet at the normal rate.

Compare

gemini/gemini-3.1-pro-preview

Google's preview flagship for complex work in the Gemini 3 generation. It combines native text, image, audio and video understanding with a 1M-token context and strong reasoning, coding and long-horizon agent performance.

Modalities

Context

Max output

66K

Price / 1M tokens

$ 2.00in$ 12.00out

StreamingTool callingJSON outputImage inputThinking mode

What this model is good at

What the vendor positions it for, and which of our models to reach for instead.

VendorGoogle's most advanced model for complex tasks at its February 2026 release.source

Best for

Advanced coding agents · The model card highlights advanced coding, algorithmic development and agentic performance.(vendor claim)source
Large multimodal corpora · It can reason over code repositories and multimodal datasets in a 1M-token window.(vendor claim)source

Neighbouring models

gemini/gemini-3.6-flashfaster —Choose 3.6 Flash when speed, token efficiency and stable availability matter more.

Compare them side by side →

Pricing and billing

Tiered pricing: the rate changes once the input passes the threshold.

Price / 1M tokens by input size	Input < 200.0K	Input ≥ 200.0K
Input	$ 2.00	$ 4.00
Output	$ 12.00	$ 18.00
Cache read	$ 0.20	$ 0.40
Cache write	$ 2.00	$ 4.00

Estimate a request

Input tokens10,000

Output tokens2,000

Cache hit rate0%

At this input size you are on the Input < 200.0K tier.

$ 0.0440

Estimated cost per request

10.0K × $ 2.00
+ 2.0K × $ 12.00

≈ $ 44.00 per 1,000 requests

Capabilities and limits

What CrossModel guarantees across every route this model can take right now.

Context window: 1.0M tokens
Max output: 65.5K tokens
Input / output modalities: Text + Image + Audio + Video → Text
Streaming: Supported
Tool calling: Supported
Structured output (JSON): Supported
Image input: Supported
Thinking mode: Supported· always on
Reasoning effort: low · medium · high
Available endpoints: /v1/chat/completions · /v1/responses · /v1/messages

First-party sources:Specsdeepmind.googleCapabilitiesai.google.dev

Published benchmarks

Scores the vendor reported, with the evaluation setup each one came from.

Agentic coding

Terminal-Bench 2.0
pass_rate·Google DeepMind · 2026-02-19effort highTerminus 2setup not fully disclosed
68.5%

Agentic search

BrowseComp (with tools)
accuracy·Google DeepMind · 2026-02-19effort hightools: browse, python, searchsetup not fully disclosed
85.9%

Coding

SWE-Bench Verified
resolved_rate·Google DeepMind · 2026-02-19effort highsetup not fully disclosed
Single attempt.
80.6%

Reasoning

Humanity's Last Exam
accuracy·Google DeepMind · 2026-02-19effort highsetup not fully disclosed
No tools.
44.4%

Scientific reasoning

GPQA Diamond
accuracy·Google DeepMind · 2026-02-19effort highsetup not fully disclosed
No tools.
94.3%

Vendor-reported numbers, not CrossModel measurements. Scores are only comparable when the benchmark version, metric and evaluation setup match, so nothing here is averaged or ranked.

Use it in your tools

Point the base URL at CrossModel and paste this model ID — every tool below has a setup guide.

Claude Code

Anthropic's official command-line coding assistant

Cursor

AI-first code editor

Cline

Open-source AI coding agent for VS Code

Codex

OpenAI's coding agent for ChatGPT desktop and the terminal

OpenCode

Open-source terminal coding assistant

Zed

High-performance, AI-native code editor

Open WebUI

Open-source, self-hosted AI chat interface

Continue

Open-source AI coding assistant for VS Code & JetBrains

See all integration guides →

Frequently asked questions

What is Gemini 3.1 Pro Preview?

Gemini 3.1 Pro Preview is available on CrossModel as gemini/gemini-3.1-pro-preview. It has a 1M-token context window and can return up to 66K tokens per request.

How much does Gemini 3.1 Pro Preview cost?

Currently $ 2.00 per 1M input tokens and $ 12.00 per 1M output tokens. Cached input is billed at $ 0.20 per 1M.

Does Gemini 3.1 Pro Preview support tool calling and structured output?

Tool calling: Supported · Structured output (JSON): Supported · Image input: Supported · Streaming: Supported · Thinking mode: Supported

Which endpoint do I call?

For text models, OpenAI Chat Completions (/v1/chat/completions), OpenAI Responses (/v1/responses) and Anthropic Messages (/v1/messages) all work — pick whichever your SDK already speaks.

Can I try it without writing code?