OpenAI: o1-preview

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Author's Description

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. 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). Note: This model is currently experimental and not suitable for production use-cases, and may be heavily rate-limited.

Key Specifications
Cost
+$$$$$
Context
128K
Parameters
300B
Released
Sep 11, 2024
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Seed Max Tokens
Performance Summary

OpenAI's o1-preview model, released on September 11, 2024, is an experimental, premium offering designed for STEM-related tasks, particularly excelling in math, science, and programming. It consistently achieves PhD-level accuracy on benchmarks in physics, chemistry, and biology. The model demonstrates exceptional reliability, achieving a 100% success rate across all benchmarks, indicating robust technical stability. However, this high performance comes with a trade-off in speed and cost. The o1-preview model tends to have longer response times, ranking in the 17th percentile for speed, and is positioned at premium pricing levels, ranking in the 1st percentile for cost. Despite its slower speed and higher cost, the o1-preview model showcases remarkable accuracy in specific domains. It achieved perfect accuracy in the General Knowledge benchmark, demonstrating its ability to handle a wide range of topics from easy to obscure. It also performed very strongly in Instruction Following (93rd percentile accuracy) and Coding (77th percentile accuracy), aligning with its STEM optimization. While its Ethics performance was moderate (31st percentile), its Email Classification accuracy was solid (70th percentile). The model's primary strength lies in its high accuracy and reliability, particularly in complex, knowledge-intensive tasks, making it a powerful tool for specialized applications where precision is paramount. Its main weaknesses are its high cost and slower processing times.

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-preview 128K $15 / 1M tokens $60 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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