LLM Reference
OpenAI API

o3 Deep Research on OpenAI API

o3 · OpenAI

Serverless

Last refreshed 2026-05-14. Next refresh: weekly.

Why use o3 Deep Research on OpenAI API?

OpenAI API offers o3 Deep Research with pay-as-you-go pricing at $10.00/1M input tokens. OpenAI is a leading AI research and deployment company dedicated to developing safe and beneficial artificial general intelligence (AGI) for humanity.

Compare o3 Deep Research across 2 providers to find the best fit for your use case
Input / 1M
$10.00
Output / 1M
$40.00
Cache
read $2.50
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install openai
Auth
export OPENAI_API_KEY=...
Call
import os
from openai import OpenAI
client = OpenAI()  # reads OPENAI_API_KEY from env
response = client.chat.completions.create(
Model ID
o3-deep-research

Request example

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)

Gotchas

  • Use the model slug directly, e.g. "gpt-4o" or "gpt-4.1-mini".
  • The examples expect OPENAI_API_KEY; rename it only if your application config maps the new variable.

Compare o3 Deep Research Across Providers

ProviderInput (per 1M)Output (per 1M)
Vercel AI Gateway$10.00$40.00
OpenAI API$10.00$40.00

Pricing

TypePrice (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.

Get Started

Model Specs

Released2025-10-10
Context200k
ArchitectureDecoder Only
Knowledge cutoff2024-06

Related Models on OpenAI API