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GLM 5.3 is Z.ai's full-size long-context chat model behind an OpenAI-compatible call. It reads up to 1,048,576 tokens, replies up to 131,072, with reasoning effort up to max, 128 tool schemas per request and JSON output.

Input $1.05Output $3.30per 1 million tokens25% below the publisher's list priceCached input $0.195Z.ai official priceInput $1.40Output $4.40

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
    $1.05 / 1 million tokens
    Cached input
    $0.195 / 1 million tokens
    Output
    $3.30 / 1 million tokens
    Context
    1,048,576
    Max output
    131,072

    $1.05/3.30per 1 million tokens · input / output

    contradiction-audit

    The case the window exists for: several documents at once, with the answer resting on a pair of passages far apart.

    • 32000
    • 0
    • max
  • Input types
    Text
    Output types
    Text
    Input
    $1.05 / 1 million tokens
    Cached input
    $0.195 / 1 million tokens
    Output
    $3.30 / 1 million tokens
    Context
    1,048,576
    Max output
    131,072

    $1.05/3.30per 1 million tokens · input / output

    incident-chain

    Mixed evidence - timeline, log, diff, transcript - reduced to one causal chain with citations.

    • 16000
    • 0.2
    • high
  • Input types
    Text
    Output types
    Text
    Input
    $1.05 / 1 million tokens
    Cached input
    $0.195 / 1 million tokens
    Output
    $3.30 / 1 million tokens
    Context
    1,048,576
    Max output
    131,072

    $1.05/3.30per 1 million tokens · input / output

    json-brief

    response_format plus temperature 0, which is what makes the reply safe to hand to a parser.

    • 16000
    • 0
    • max

This example starts at Input $1.05 / Output $3.30 per 1 million tokens. The Playground updates the estimate when you change the settings.