Name: OpenAI o3 mini API
Brand: OpenAI

Overview

What is o3 Mini API?

OpenAI o3-mini excels in reasoning tasks with advanced features like deliberative alignment and extensive context support.

Technical Specifications
- Supported inputs: Text
- Output: Text
- Context window: 200,000 tokens / Max output: —
- Endpoint: /chat/completions

Performance Benchmarks
[embed]

o3 Mini API Pricing
- Input: $1.43 / 1M tokens
- Output: $5.72 / 1M tokens

Where to Use o3 Mini

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]

Uptime and performance

Uptime (24h): 100%
Uptime (7d): 100%
Availability (24h): 100%
Error rate (24h): 0%
End-to-end latency (24h median): 4.1s
Throughput (24h median): 151.3 tok/s

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

STEM tutoring and interactive educational tools
automated coding assistance and debugging
scientific research and data analysis automation
business process automation requiring logical decision making
complex question answering with up-to-date web integration
cost-effective reasoning tasks with high throughput requirements

‍

How to use OpenAI o3 mini API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to openai/o3-mini.

import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "openai/o3-mini",
      "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": "openai/o3-mini",
    "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":"openai/o3-mini","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.