AI Tools Review

Relace: Relace Search

By Relace

Released: 2025-12-08

API
LLM
RAG
Relace
Paid
New

Relace Relace Search, developed by Relace, features 256k-token context window. 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). Premium pricing at $1.0/1M tokens reflects its advanced capabilities.

Visit Relace: Relace Search

AI-Powered

Leverages advanced AI technology to deliver cutting-edge capabilities and results.

Fast & Efficient

Optimized performance ensures quick results without compromising on quality.

Purpose-Built

Specifically designed for llms tasks and workflows.

Relace Model Timeline

Relace: Relace SearchCurrent

256k tokens context

Relace: Relace Apply 3

256k tokens context

Specifications

pricing$1.00 / $3.00 (per 1M)
context Window256k tokens

AI Evaluation

4.8
Expert Rating
Text4.9/5
Coding3.5/5

Combines language understanding with search capabilities. Excels at finding and synthesizing information from various sources.

Pros

  • 256k token context window
  • Strong code generation and debugging
  • Advanced logical reasoning
  • Agent-ready with tool use

Cons

  • Moderate API costs
  • May lack creative flair
  • Speed/quality trade-off