OpenAI API exposes o3 Deep Research through model ID o3-deep-research. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-05-14. Next refresh: weekly.
Quick Start
- 1
- 2Use the OpenAI API SDK or REST API to call
o3-deep-research— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
OPENAI_API_KEYModel ID
o3-deep-researchUse 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-deep-research",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on OpenAI API
| Type | Price (per 1M) |
|---|---|
| Input tokens | $10.00 |
| Output tokens | $40.00 |
Capabilities
VisionMultimodalReasoningJSON / Tool useStructured Outputs
About o3 Deep Research
o3-deep-research is OpenAI's advanced model for deep research, designed to tackle complex multi-step research tasks by synthesizing information from multiple sources at 200K context.
Model Specs
Released2025-10-10
Context200k
ArchitectureDecoder Only
Knowledge cutoff2024-06