relace-apply-3
Relace Apply 3 is a specialized code-patching model that merges AI-suggested edits straight into your source files, applying updates produced by other models.
Pricing: Input 204 credits / 1M tokens (≈ $1.02), Output 300 credits / 1M tokens (≈ $1.50).
Prices updated
How can I help you today?
This demo page does not include the full memory features of the client. For the complete experience, please use the client or the CLI.
More AI models from Relace
Latest and popular AI models
Relace Apply 3 API on ModelFold
Relace Apply 3 is a specialized code-patching model that merges AI-suggested edits straight into your source files, applying updates produced by other models. Try Relace Apply 3 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Relace Apply 3 API
Relace Apply 3 at a glance
Relace Apply 3 is a chat model from Relace. It accepts text as input and returns text, with a context window of up to 256K tokens.
Use it without hosting anything
On ModelFold you call Relace Apply 3 with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Relace Apply 3
Up to 256K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
How to Use Relace Apply 3 on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Relace Apply 3 responds before writing any code.
- 2
Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "relace-apply-3" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Relace Apply 3
AI coding assistants
Generate, explain, debug and refactor code, review pull requests and work through multi-file changes in developer tools and IDE plugins.
Low-latency experiences
Power chat interfaces, autocomplete and interactive tools where users expect fast responses.
Tool-calling backends
Route requests, call functions and chain API calls as the worker model inside larger agent systems.
Frequently Asked Questions
What is Relace Apply 3?⌄
Relace Apply 3 is a specialized code-patching model that merges AI-suggested edits straight into your source files, applying updates produced by other models.
Which inputs does Relace Apply 3 support?⌄
Relace Apply 3 accepts text and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.
How long is the context window of Relace Apply 3?⌄
Up to 256K tokens, shared between your input and the model’s output.
Does Relace Apply 3 support function calling?⌄
Function calling is not listed for Relace Apply 3; requests that include tools will be rejected. Use plain prompts or JSON output instead.
How is Relace Apply 3 billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Relace Apply 3 through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "relace-apply-3", using your ModelFold API key as the Bearer token.
| Input | 204 credits 1M tokens≈ $1.02 |
| Output | 300 credits 1M tokens≈ $1.50 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"relace-apply-3","messages":[{"role":"user","content":"Hello"}]}'