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o1 - In-Depth Overview

OpenAI · o-series

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Model ID: o1

Get all the details on o1, an AI model from OpenAI. This page covers its token limits, pricing structure, key capabilities such as structured_outputs, reasoning, streaming, available API code samples, and performance strengths.

Key Metrics

Input Limit

200K tokens

Output Limit

100K tokens

Input Cost

$15.00/1M

Output Cost

$60.00/1M

Sample API Code

import openai

client = openai.OpenAI()

chat_completion = client.chat.completions.create(
    model="o1",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ]
)
print(chat_completion.choices[0].message.content)

Required Libraries

openai
openai

Benchmarks

BenchmarkScoreSourceNotes
1347
OpenLLM Leaderboard-
1045
OpenLLM Leaderboard-
1231
OpenLLM Leaderboard-
57.1%
Vellum LLM Leaderboard-
79.2%
Vellum LLM Leaderboard-
75.7%
Vellum LLM Leaderboard-
48.9%
Vellum LLM Leaderboard-
96.4%
Vellum LLM Leaderboard-
67.87%
Vellum LLM Leaderboard-
61.7%
Vellum LLM Leaderboard-

Notes

The o1 series of models are trained with reinforcement learning to perform complex reasoning. o1 models think before they answer, producing a long internal chain of thought before responding to the user.

Supported Data Types

Input Types

text
image

Output Types

text

Strengths & Weaknesses

Exceptional at

complex reasoning
general reasoning

Additional Information

Latest Update

Dec 17, 2024

Knowledge Cutoff

Oct 1, 2023