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    Relace: Relace Search

    relace/relace-search

    Created Dec 8, 2025256,000 context
    $1/M input tokens$3/M output tokens

    The relace-search model uses 4-12 view_file and grep tools in parallel to explore a codebase and return relevant files to the user request.

    In contrast to RAG, relace-search performs agentic multi-step reasoning to produce highly precise results 4x faster than any frontier model. It's designed to serve as a subagent that passes its findings to an "oracle" coding agent, who orchestrates/performs the rest of the coding task.

    To use relace-search you need to build an appropriate agent harness, and parse the response for relevant information to hand off to the oracle. Read more about it in the Relace documentation.

    Providers for Relace Search

    OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

    Performance for Relace Search

    Compare different providers across OpenRouter

    Apps using Relace Search

    Top public apps this week using this model

    Recent activity on Relace Search

    Total usage per day on OpenRouter

    Uptime stats for Relace Search

    Uptime stats for Relace Search across all providers

    Sample code and API for Relace Search

    OpenRouter normalizes requests and responses across providers for you.

    OpenRouter provides an OpenAI-compatible completion API to 400+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

    In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

    Using third-party SDKs

    For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

    See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.