Skip to main content

Uncensored — We add no content filter to this model, but like most chat models it declines a blunt request that comes with no context. It writes unrestricted fiction reliably once your system prompt sets up a fiction-writing context, or once the request is framed as a story. Legal and consent duties remain with the customer.Browse every model at this filtering level
deepseek/v4-pro/chat

DeepSeek V4 Pro chat through an OpenAI-compatible endpoint. It takes up to 1,048,576 tokens of text and returns up to 384,000, with low or high reasoning effort (high by default), up to 128 tool definitions and JSON response format.

Input $1.32Output $3.96per 1 million tokensCached input $0.044
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
    $1.32 / 1 million tokens
    Cached input
    $0.044 / 1 million tokens
    Output
    $3.96 / 1 million tokens
    Context
    1,048,576
    Max output
    384K

    $1.32/3.96per 1 million tokens · input / output

    architecture-review

    The default working shape: high effort, and an acceptance format stated before the material.

    • 8000
    • high
  • Input types
    Text
    Output types
    Text
    Input
    $1.32 / 1 million tokens
    Cached input
    $0.044 / 1 million tokens
    Output
    $3.96 / 1 million tokens
    Context
    1,048,576
    Max output
    384K

    $1.32/3.96per 1 million tokens · input / output

    xhigh-security-pass

    High effort pointed at a funds-movement path, with the output format constrained to exploitable sequences.

    • 24000
    • high
  • Input types
    Text
    Output types
    Text
    Input
    $1.32 / 1 million tokens
    Cached input
    $0.044 / 1 million tokens
    Output
    $3.96 / 1 million tokens
    Context
    1,048,576
    Max output
    384K

    $1.32/3.96per 1 million tokens · input / output

    tool-plan

    A tool declaration with tool_choice left on auto, so the model decides whether the lookup is worth a call.

    • 2000
    • auto
    • high

This example starts at Input $1.32 / Output $3.96 per 1 million tokens. The Playground updates the estimate when you change the settings.