Relace

Relace: Relace Search

relace/relace-search

Access Relace Search from Relace using Puter.js AI API.

Get Started 
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "relace/relace-search"
}).then(response => {
    document.body.innerHTML = response.message.content;
});

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms", {
            model: "relace/relace-search"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.puter.com/puterai/openai/v1/",
    api_key="YOUR_PUTER_AUTH_TOKEN",
)

response = client.chat.completions.create(
    model="relace/relace-search",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms"}
    ],
)

print(response.choices[0].message.content)

curl https://api.puter.com/puterai/openai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
  -d '{
    "model": "relace/relace-search",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

Relace Search is an agentic codebase search model that uses 4-12 parallel tool calls (view_file, grep) to explore repositories and return relevant files. It performs multi-step reasoning to produce precise results 4x faster than frontier models, designed to work as a subagent for coding workflows.

Context Window 256K

tokens

Max Output 128K

tokens

Input Cost $1

per million tokens

Output Cost $3

per million tokens

Release Date Jun 1, 2025

 

Model Playground

Try Relace Search instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat relace/relace-search
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Chat with Relace Search
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Relace Apply 3 is a specialized code-patching model that merges AI-generated code edits into existing source files at up to 10,000 tokens per second. It supports a 256K context window and works with diffs from models like Claude and GPT-4, making code integration fast and reliable.

Frequently Asked Questions

How do I use Relace Search?

You can access Relace Search by Relace through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.

Is Relace Search free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Relace Search to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for Relace Search?
Pricing for Relace Search is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$1
Output$3
Who created Relace Search?

Relace Search was created by Relace and released on Jun 1, 2025.

What is the context window of Relace Search?

Relace Search supports a context window of 256K tokens. For reference, that is roughly equivalent to 512 pages of text.

What is the max output length of Relace Search?

Relace Search can generate up to 128K tokens in a single response.

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Relace Search API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

Get started with Puter.js

Add Relace Search to your app without worrying about API keys or setup.

Read the Docs View Tutorials