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    deepseek-v4-pro

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    deepseek/deepseek-v4-pro

    ChatToolsSystem promptReasoning

    Context

    1M

    Max output

    348K

    Input / 1M

    $0.435

    Output / 1M

    $0.87

    Cached / 1M

    $0.0036

    Cutoff

    May 2024

    About this model

    DeepSeek-V4-Pro is a powerful flagship model supporting thinking and non-thinking modes with 1M context. Accepts text inputs and produces text outputs.

    Best suited for

    • Complex reasoning, advanced coding, multi-turn conversation, JSON output, function/tool calling, and high-accuracy pipelines.

    Built-in tools

    Gtwy web search

    Hosted by the gateway — enable them per request without wiring your own endpoint.

    Capabilities

    Tools

    Native function calling, so agents can invoke your endpoints.

    System prompt

    Honours a dedicated system role, separate from the user turn.

    Reasoning

    Emits a separate thinking pass before the answer.

    Supported parameters

    stop

    This parameter tells the model to stop generating text when it reaches any of the specified sequences (like a word or punctuation)

    creativity_level

    Controls randomness. Higher values (0.8) make output more random, lower values (0.2) more focused and deterministic.

    probability_cutoff

    Nucleus sampling parameter. The model considers tokens with top_p probability mass.

    log_probabilityLog Probabilities

    Whether to return log probabilities of the output tokens.

    max_tokensMax Tokens Limit

    Specifies the maximum number of text units (tokens) allowed in a response, limiting its length.

    tools

    Lists tool definitions or capabilities available to the model.

    tool_choice

    Decides whether to use tools or just the model for generating responses.

    response_type

    Defines the format or type of the generated response.

    parallel_tool_calls

    Enables parallel execution of tools, allowing multiple tools to run simultaneously.

    reasoning

    Controls the level of reasoning used by the model.

    stream

    Sends the response in real-time as it's being generated.

    service_tier