LLM Reference
OpenAI API

Using o4 Mini Deep Research on OpenAI API

Implementation guide · o4-mini · OpenAI

Serverless

OpenAI API exposes o4 Mini Deep Research through model ID o4-mini-deep-research. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-04. 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 o4-mini-deep-research — see the documentation for request format.
  3. 3
    You'll be billed $2.00/1M input, $8.00/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
OPENAI_API_KEY
Model ID
o4-mini-deep-research

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="o4-mini-deep-research",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on OpenAI API

TypePrice (per 1M)
Input tokens$2.00
Output tokens$8.00

Capabilities

VisionMultimodalStructured Outputs

About o4 Mini Deep Research

OpenAI: o4 Mini Deep Research available via OpenRouter. Pricing: $2/1M input, $8/1M output.

Model Specs

Released2025-04-16
Context200k
ArchitectureDecoder Only
Knowledge cutoff2024-06

Provider

OpenAI API
OpenAI API

OpenAI

San Francisco, California, United States