What is Search API?
Search 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]
Search API Pricing
- Input: $1.3 / 1M tokens
- Output: $3.9 / 1M tokens
Where to Use Search
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]
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
Relace Search is documented as suited to codebase file retrieval, helping locate relevant files across large repositories. It is also used for agentic code search, where it performs multi-step search over codebases and returns highly relevant files for a query.
It is documented for refactor impact scoping, where it helps identify which parts of a codebase may be affected by a change. It is also used for bug context gathering, helping assemble relevant code context for debugging and issue investigation.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "relace/relace-search", "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-search", "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-search","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 |
|---|---|---|---|---|
Search This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Search has a 256,000 tokens context window and can return up to 128,000 tokens.
Search takes image, text as input and returns text.
Use relace/relace-search as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Search is priced at input $1.3754 / 1M tokens, output $4.1262 / 1M tokens.
Yes, Search can stream responses as they are generated.
Yes, Search accepts image input alongside text.
It supports reasoning, tool calls, structured outputs and web search, making it suited for multi-step tasks that need external information or tool use.
