Gemini 3.1 Pro Preview is Google's long-context chat model with an OpenAI-compatible API. It reads up to 1,000,000 tokens and replies up to 32,768, with three reasoning-effort levels, up to 128 tools, JSON output and text and image input.
Workbench
These examples were written for this endpoint. Replace the prompt and sample media URLs with your own accessible inputs, then check the current quote and model availability before submitting.
- Input types
- Text
- Output types
- Text
- Input
- $1.90 / 1 million tokens
- Cached input
- $0.19 / 1 million tokens
- Output
- $11.40 / 1 million tokens
- Context
- 1M
- Max output
- 32,768
$1.90/11.40per 1 million tokens · input / output
fast-triage Low effort, a fixed system message, only the material changes. This is the cheap pass you run before deciding what deserves a careful one.
- 1000
- low
- Input types
- Text
- Output types
- Text
- Input
- $1.90 / 1 million tokens
- Cached input
- $0.19 / 1 million tokens
- Output
- $11.40 / 1 million tokens
- Context
- 1M
- Max output
- 32,768
$1.90/11.40per 1 million tokens · input / output
long-read-short-answer The shape this endpoint is built for: the whole context in one message, a short answer out.
- 1500
- medium
- Input types
- Text
- Output types
- Text
- Input
- $1.90 / 1 million tokens
- Cached input
- $0.19 / 1 million tokens
- Output
- $11.40 / 1 million tokens
- Context
- 1M
- Max output
- 32,768
$1.90/11.40per 1 million tokens · input / output
structured-output JSON output. response_format shapes the reply, but parsing and validation stay on your side.
- 3000
This example starts at Input $1.90 / Output $11.40 per 1 million tokens. The Playground updates the estimate when you change the settings.
