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Gemini 3.1 Pro Preview

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.

Try in ewpiregoogle/gemini-3.1-pro-preview

Opens in the ewpire workspace. Creating an account is free; runs are paid from your credits.

Gemini 3.1 Pro Preview in plain words

Gemini 3.1 Pro Preview is a text model from Google. It takes audio, files, images, text, and video as input and returns text. Its context window is 1,048,576 tokens. It costs 2.482353 credits per 1M input tokens and 14.894118 credits per 1M output tokens. A request with 200,000 or more input tokens is charged, as a whole, at 4.964706 credits per 1M input tokens and 22.341177 credits per 1M output tokens.

It is good at reasoning through multi-step problems, reading attached files, and calling tools. It reads images as well as text. A context window of 1,048,576 tokens holds about 4,200,000 characters of English text, at 4 characters a token.

For example, a question of 2,000 tokens (about 8,000 characters) with an answer of 1,000 tokens (about 4,000 characters) costs 0.019859 credits. The exact charge follows the usage the model reports for your request.

Details

Made by
Google
Good at
ReasoningVisionFilesTool use
Reads
Audio, Files, Images, Text, Video
Produces
Text
Context window
1,048,576 tokens

Price

Input, per 1M tokens
2.482353 credits
Output, per 1M tokens
14.894118 credits

Requests with 200,000 or more input tokens

Input, per 1M tokens
4.964706 credits
Output, per 1M tokens
22.341177 credits

The whole request is charged at these rates, not only the tokens past that size.

Charged per request from your credit balance. No subscription. See pricing

In the API – coming soon

API keys are not open yet. The docs show how to call this model with the OpenAI SDK or plain HTTP once they are. Read the docs

curl https://ewpire.com/api/v1/chat/completions \
  -H "Authorization: Bearer $EWPIRE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"google/gemini-3.1-pro-preview","messages":[{"role":"user","content":"Hello!"}]}'

The docs show how to list the models the API serves, with their capabilities and prices, once API keys are open. Models in the docs

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