Skip to main content

Light — We add no content filter, but this model goes past its own limits only some of the time, even with a fiction-writing system prompt. Expect refusals and plan for retries. Legal and consent duties remain with the customer.Browse every model at this filtering level
google/gemini-3.5-flash-lite/chat

Gemini 3.5 Flash-Lite is Google's cost-focused chat model with an OpenAI-compatible API. It reads up to 1,048,576 tokens, replies up to 65,536 and defaults to minimal reasoning effort, with text, image and video input.

Input $0.30Output $2.50per 1 million tokensCached input $0.03
Run model

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
    $0.30 / 1 million tokens
    Cached input
    $0.03 / 1 million tokens
    Output
    $2.50 / 1 million tokens
    Context
    1,048,576
    Max output
    65,536

    $0.30/2.50per 1 million tokens · input / output

    bulk-classification

    The shape most requests on this endpoint take: a fixed system message, one row in the user message, effort left at the default and a tight cap on the reply.

    • 16
  • Input types
    Text
    Output types
    Text
    Input
    $0.30 / 1 million tokens
    Cached input
    $0.03 / 1 million tokens
    Output
    $2.50 / 1 million tokens
    Context
    1,048,576
    Max output
    65,536

    $0.30/2.50per 1 million tokens · input / output

    translation-batch

    A translation pass. The instruction and the glossary live in the system message so that only the source text changes from call to call.

    • 2000
    • 0.2
  • Input types
    Text
    Output types
    Text
    Input
    $0.30 / 1 million tokens
    Cached input
    $0.03 / 1 million tokens
    Output
    $2.50 / 1 million tokens
    Context
    1,048,576
    Max output
    65,536

    $0.30/2.50per 1 million tokens · input / output

    structured-extraction

    JSON output. response_format shapes the reply; parsing and validation stay on your side.

    • 3000
    • low

This example starts at Input $0.30 / Output $2.50 per 1 million tokens. The Playground updates the estimate when you change the settings.