o1 Model Specs, Costs & Benchmarks (July 2026)
o1, developed by OpenAI, features a context window of 200K tokens. The model costs $15.00 per million tokens for input and $60.00 per million tokens for output. It was released on December 17, 2024, and has achieved impressive scores in various benchmarks.
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Overview
Model Provider The organization behind this AI's development | |
Input Context Window Maximum input tokens this model can process at once | 200K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 100K tokens |
Release Date When this model first became publicly available | December 17, 2024 1 year ago December 17th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | October 31, 2023 |
Pricing
Input Token Cost Cost per million input tokens | $15.00 per million tokens |
Output Token Cost Cost per million output tokens | $60.00 per million tokens |
Web Search Cost Additional cost for each web search operation | $0.01 per search |
Cache Read Cost Cost to reuse cached input tokens | $7.50 per million tokens |
Capabilities & Features
Input Types Supported input formats | textimagefile |
Output Types Supported output formats | text |
Tokenizer Text encoding system | GPT |
Key Features Advanced capabilities | β Function Callingβ Structured Outputβ Reasoning Modeβ Content Moderation |
Reasoning Controls Defaults and configurable reasoning effort | Optional |
Benchmarks
Coding Index Programming performance across independent evaluations | 39.7 (Artificial Analysis index; higher is better) |
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