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Relace: Relace Apply 3

relace/relace-apply-3

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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(opens in new tab)

Modalities

Input Price

$0.85per 1M

Output Price

$1.25per 1M

Context

256K

Weekly Tokens

180M

Released

Sep 26, 2025

Overview
Providers
Performance
Pricing
Apps
Activity
Uptime
API

Sample code and API for Relace Apply 3

OpenRouter normalizes requests and responses across providers for you.

1

Get your API key

Create an API key from your OpenRouter dashboard and set it as an environment variable:

2

Make your first request

Use relace/relace-apply-3 with the OpenRouter API:

FastApply allows you to apply code edits by providing the original code, the desired changes, and instructions. The model will merge the changes intelligently.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

3

Enable streaming

Add "stream": true to your request body to receive responses as server-sent events:

Endpoint

POSThttps://openrouter.ai/api/v1/chat/completions
AuthorizationBearer $OPENROUTER_API_KEY
Content-Typeapplication/json
HTTP-Refereroptional — your site URL, for rankings
X-Titleoptional — your site name, for rankings
Modelrelace/relace-apply-3

Parameters

NameTypeDefaultDescription
max_tokensinteger—This sets the upper limit for the number of tokens the model can generate in response.
stoparray—Stop generation immediately if the model encounter any token specified in the stop array.
seedinteger—If specified, the inferencing will sample deterministically, such that repeated requests with the same seed and parameters should return the same result.