LLM Reference
OpenAI API

Using o3-pro on OpenAI API

Implementation guide · o3 · OpenAI

Serverless

OpenAI API exposes o3-pro through model ID o3-pro. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-05-19. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at OpenAI API and generate an API key.
  2. 2
    Use the OpenAI API SDK or REST API to call o3-pro — see the documentation for request format.
  3. 3
    You'll be billed $20.00/1M input, $80.00/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
OPENAI_API_KEY
Model ID
o3-pro

Use the model slug directly, e.g. "gpt-4o" or "gpt-4.1-mini".

import os
from openai import OpenAI

client = OpenAI()  # reads OPENAI_API_KEY from env
response = client.chat.completions.create(
    model="o3-pro",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on OpenAI API

TypePrice (per 1M)
Input tokens$20.00
Output tokens$80.00

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsCode Execution

About o3-pro

Advanced o3 reasoning model for complex math, science, and coding problems. Supports tools, vision, and extended thinking. Available to Pro users. Released June 10, 2025.

Model Specs

Released2025-06-10
Context200k
ArchitectureDecoder Only
Knowledge cutoff2025-08

Provider

OpenAI API
OpenAI API

OpenAI

San Francisco, California, United States