o1-pro

OpenAI chatvisionreasoningtool_use Long

API ID: openai/o1-pro

Input Price
$150.00
/1M tokens
Output Price
$600.00
/1M tokens

About o1-pro

O1 Pro is OpenAI's premium reasoning model, offering maximum thinking capability for the most challenging problems. The model provides extended reasoning time and deeper analysis than standard o1, achieving the highest accuracy on complex tasks. O1 Pro excels at research-level mathematics, advanced coding challenges, and sophisticated scientific reasoning. It's designed for applications where accuracy justifies premium pricing and longer response times. For the most demanding reasoning tasks, o1 Pro offers OpenAI's maximum analytical capability.

๐Ÿ’ฐ
Price Ranking
#950 lowest price among 950 Chat models

Model Specifications

Context Length
200k
Max Output
100k
Release Date
2025-03-19
Capabilities
chat vision reasoning tool_use
Input Modalities
textimagefile
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Simple Q&A (cheaper models available)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$247.50
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$7650.00
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$10575.00
/month
500 analyses/day, ~2k tokens each

OpenAI Model Lineup

Compare all models from OpenAI to find the best fit

Model Input Output Context Capabilities
o1-pro Current Free Free 200k chat vision reasoning tool_use
GPT-3.5 Turbo 16k (older v1106) Free Free 16k chat
GPT-3.5 Turbo 16k (older v1106) Free Free 16k chat
GPT-4 32k Free Free 33k chat
GPT-4 32k Free Free 33k chat
GPT-4 32k (older v0314) Free Free 33k chat

๐Ÿš€ Quick Start

Get started with o1-pro API

OpenAI Python SDK
from openai import OpenAI
client = OpenAI()

response = client.chat.completions.create(
    model="openai/o1-pro",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)