Relace: Relace Search

relace/relace-search

Description

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.

How this model compares

Overall covers the full catalog. By plan covers only models available on that tier (same rules as available models in your list). Position on min–average–max. Prices use the higher of prompt or completion per token, shown per 1M tokens.

Price (per 1M tokens)

Min
Max
This model
339 models in this groupPrice (per 1M tokens)
Min
$0.04
Avg
$12.395447
Max
$750.00
This model: $3.00 / 1M tokens

Context length (tokens)

Min
Max
This model
339 models in this groupContext length (tokens)
Min
4,095 tokens
Avg
379,884.782 tokens
Max
10,000,000 tokens
This model: 256,000 tokens

Capabilities

Text → TextContext: 256,000 tokens
Input:
Text
Output:
Text
    Relace: Relace Search