OpenAI: o1

Image input Text input Text output
Author's Description

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).

Key Specifications
Cost
+$$$$$
Context
200K
Parameters
300B
Released
Dec 17, 2024
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Tool Choice Max Tokens Structured Outputs Tools Seed Response Format
Features

This model supports the following features:

Structured Outputs Response Format Tools
Performance Summary

OpenAI's o1 model, created on December 17, 2024, demonstrates a strong focus on reasoning and STEM-related tasks, as evidenced by its design to "spend more time thinking before responding" and its optimization for math, science, and programming. The model exhibits moderate speed performance, ranking in the 26th percentile across benchmarks, indicating it is not among the fastest models available. In terms of cost, o1 is positioned at premium pricing levels, ranking in the 2nd percentile, making it a more expensive option. A significant strength of o1 is its exceptional reliability, achieving the 100th percentile with minimal technical failures, ensuring consistent and usable responses. Across benchmark categories, o1 shows outstanding accuracy in Reasoning (98.0%), General Knowledge (99.8%), and Instruction Following (77.0%), placing it in the top percentiles for these areas. Its Coding performance is also strong at 92.0% accuracy. While its Email Classification accuracy is high at 98.0%, its percentile ranking (54th) suggests other models perform similarly. The model consistently achieves high accuracy across all tested categories, with its lowest accuracy in Instruction Following still being very competitive. Key strengths include its robust reasoning capabilities, high general knowledge, and remarkable reliability. The primary weakness lies in its premium pricing, which may be a consideration for cost-sensitive applications.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $15
Completion $60
Input Cache Read $7.5

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
OpenAI
OpenAI | openai/o1-2024-12-17 200K $15 / 1M tokens $60 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Free Executions Accuracy Cost Duration
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