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Relace Search

Rank #354 relace

relace/relace-search-20251208

Usage data date 2026-07-26 · updated daily

Usage and specs

Daily rank#354
Daily tokens11.3M
Daily requests22K
Daily change +76.4%
Context window256K
Released

What is Relace Search

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](https://docs.relace.ai/docs/fast-agentic-search/agent).

Relace Search capabilities

Input: Text   Output: Text

JSON output Tool choice Tool use

Relace Search API pricing

Input · per 1M tokens$1.00
Output · per 1M tokens$3.00

List prices in USD; see each provider’s site for current terms.