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AI model

Google: Gemini 3.1 Pro Preview

google/gemini-3.1-pro-preview

Google: Gemini 3.1 Pro Preview is a 1,048,576-token model served on Composite at $1.25 per million tokens in and $7.50 per million tokens out. Ranked #43 of 194 models by traffic on Composite over the last 30 days, taking 0.27% of tokens and 0.09% of requests. Measured on Composite, 100.0% of its last 20 requests on Composite succeeded, the typical first token arrives in 28268 ms, output runs at about 256.8 tokens per second.

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Specifications

Specifications and pricing as served by Composite
Model IDgoogle/gemini-3.1-pro-preview
ProviderGoogle
Context window1,048,576 tokens
Acceptsaudio, file, image, text, video
Returnstext
Input price$1.25 per million tokens
Output price$7.50 per million tokens
Prompt cachingSupported — cached input is billed at the provider's cache rate, on credits and plans alike
Image input$0.0000012 per image
Audio input$0.0000012 per second
Reasoning tokens$7.50 per million tokens
Web search$0.0175 per result
ThinkingAlways on for this model
ModeratedNo
Cost on a monthly planAbout 14 plan credits per typical call (8k in, 1k out)
Routing endpoints2 (base plus 1 routing variant)

Traffic rank on Composite

#43 of 194

0.27% of tokens and 0.09% of requests over 30 days.

Success rate

100.0%

Across the last 20 requests Composite served for this model.

Time to first token

28268 ms

Median across the same sample.

Output speed

256.8 tok/s

Median generation rate after the first token.

Routing variants

The same model behind 1 alternative endpoint. Call the id directly to pin a route; the base id above picks for you.

RouteModel IDProviderPrice
cheapThink google/gemini-3.1-pro-preview:cheapThink Google $1.25 per million tokens input · $7.50 per million tokens output

Pricing

$1.25 per million tokens input · $7.50 per million tokens output

Credits pay the provider’s price plus 25%; cache hits cost less.

On a monthly plan, a typical call (8k tokens in, 1k out) uses about 14 plan credits, at the provider's own price.

Provider

Google

Roleplay fit

Gemini models combine large context windows with fast throughput, which keeps response times low even in busy group chats.

Context behavior

With a 1,048,576-token context window, it can hold a long-running roleplay or a full lorebook in memory without losing earlier plot details, so it suits multi-session campaigns and character cards with heavy backstory.

Cost for regular use

It sits in the mid-range on price, a reasonable pick for regular roleplay use without going for the cheapest option available.

From the provider

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...

Supplied by Google, not written by Composite.