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Models

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R

Relace: Relace Search

Input $1/1MOutput $3/1M

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).

by relace·256K context·1 provider

R

Relace: Relace Apply 3

Input $0.85/1MOutput $1.25/1M

Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and others into your files at 10,000 tokens/sec on average. The model requires the prompt to be in the following format: \u003cinstruction\u003e{instruction}\u003c/instruction\u003e \u003ccode\u003e{initial_code}\u003c/code\u003e \u003cupdate\u003e{edit_snippet}\u003c/update\u003e Zero Data Retention is enabled for Relace. Learn more about this model in their [documentation](https://docs.relace.ai/api-reference/instant-apply/apply)

by relace·256K context·1 provider