relace

Access 2 relace models through the OpenRouter unified API including Relace Search and Relace Apply 3. Compare pricing, context windows, benchmarks, and capabilities between different relace models.

relace tokens processed on OpenRouter

Relace: Relace SearchRelace Search
7.2M 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](https://docs.relace.ai/docs/fast-agentic-search/agent).
by relace

relace

Access 2 relace models through the OpenRouter unified API including Relace Search and Relace Apply 3. Compare pricing, context windows, benchmarks, and capabilities between different relace models.

relace tokens processed on OpenRouter

Relace: Relace SearchRelace Search
7.2M 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](https://docs.relace.ai/docs/fast-agentic-search/agent).
by relace

Dec 8, 2025

256K context

$1/M input tokens$3/M output tokens

Relace: Relace Apply 3Relace Apply 3

54.5M tokens

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: <instruction>{instruction}</instruction> <code>{initial_code}</code> <update>{edit_snippet}</update> 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 relaceSep 26, 2025256K context$0.85/M input tokens$1.25/M output tokens