Gemini 2.5 Flash is Google's hybrid reasoning model as an OpenAI-compatible chat endpoint. It reads up to 1,048,576 tokens and replies up to 65,535, with three reasoning-effort levels, up to 128 tools and text, image, video and audio 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
- $0.285 / 1 million tokens
- Cached input
- $0.0285 / 1 million tokens
- Output
- $2.375 / 1 million tokens
- Context
- 1,048,576
- Max output
- 65,535
$0.285/2.38per 1 million tokens · input / output
long-read-short-answer A long read with a short answer, the whole document handed over in one message. This is what the million-token window is for.
- 800
- medium
- Input types
- Text
- Output types
- Text
- Input
- $0.285 / 1 million tokens
- Cached input
- $0.0285 / 1 million tokens
- Output
- $2.375 / 1 million tokens
- Context
- 1,048,576
- Max output
- 65,535
$0.285/2.38per 1 million tokens · input / output
bulk-classify The cheap sweep: a fixed system message, only the material changes, effort on low. Most of the volume on this endpoint looks like this.
- 1000
- low
- Input types
- Text
- Output types
- Text
- Input
- $0.285 / 1 million tokens
- Cached input
- $0.0285 / 1 million tokens
- Output
- $2.375 / 1 million tokens
- Context
- 1,048,576
- Max output
- 65,535
$0.285/2.38per 1 million tokens · input / output
structured-output JSON output. response_format shapes the reply; parsing and validation stay on your side.
- 3000
This example starts at Input $0.285 / Output $2.375 per 1 million tokens. The Playground updates the estimate when you change the settings.
