What is Apply 3 API?
Apply 3 is available through AIMLAPI.
Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 256,000 tokens / Max output: 128,000 tokens
- Endpoint: /chat/completions
Performance Benchmarks
[embed]
Apply 3 API Pricing
- Input: $1.105 / 1M tokens
- Output: $1.625 / 1M tokens
Where to Use Apply 3
Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.
Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.
Complex reasoning
Extended reasoning improves reliability on multi-step math, logic, and technical analysis.
Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.
Code Sample
[embed]
Relace Apply 3 is documented as suited for merging AI-generated code edits into existing source files.
It is used for code patching and integrating diffs from models like Claude and GPT-4 into an existing codebase.
It is also suited to rapid application of updates in large files, with native support for very large contexts and a workflow designed to keep performance high while handling those files.
A third documented use case is working with code integration workflows in developer tools and APIs, where proposed changes are merged back into source code rather than rewritten from scratch.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "relace/relace-apply-3", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "relace/relace-apply-3", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"relace/relace-apply-3","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Apply 3 This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Apply 3 has a 256,000 tokens context window and can return up to 128,000 tokens.
Apply 3 takes image, text as input and returns text.
Use relace/relace-apply-3 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Apply 3 is priced at input $1.16909 / 1M tokens, output $1.71925 / 1M tokens.
Yes, Apply 3 can stream responses as they are generated.
Yes, Apply 3 accepts image input alongside text.
Yes, Apply 3 supports text-to-text processing in addition to image input.
Yes, Apply 3 supports function calling, parallel tool calls, and structured outputs.
