o1

OpenAI chatreasoningtool_usevision Long

API ID: openai/o1-2024-12-17

Input Price
$15.00
/1M tokens
Output Price
$60.00
/1M tokens
Cached Input
$7.50
Save 50%

About o1

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought. The o1 models are optimized for math, science, programming, and other STEM-related tasks. They consistently exhibit PhD-level accuracy on benchmarks in physics, chemistry, and biology. Learn more in the [launch announcement](https://openai.com/o1).

๐Ÿ’ฐ
Price Ranking
#1222 lowest price among 1240 Chat models

Model Specifications

Context Length
200k
Max Output
100k
Release Date
2024-12-17
Capabilities
chat reasoning tool_use vision
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
$24.75
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$765.00
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$1057.50
/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 Current Free Free 200k chat reasoning tool_use vision
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

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Input: $15.00
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๐Ÿš€ Quick Start

Get started with o1 API

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

response = client.chat.completions.create(
    model="openai/o1-2024-12-17",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)