o1-pro: pricing, context and benchmarks

What you need to know about o1-pro

o1-pro was released by OpenAI (United States) on March 19, 2025. It accepts text, images, and files as input and produces text. Its context window reaches 200,000 tokens, larger than 36 % of the models in the registry, and it can write up to 100,000 tokens in one go.

Released more than 1 year ago, it belongs to a generation most vendors have since superseded.

o1-pro pricing

On OpenRouter, o1-pro costs $150 per million input tokens and $600 per million output tokens. Counting three tokens read for every token written, its average price is $262.5 per million, more expensive than 100 % of paid models (344.3 times the median of $0.76).

A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.6. At 1,000 tasks a day, budget $18,000 a month. The price calculator redoes this with your own volumes.

Performance and benchmarks

Epoch AI does not yet publish a capabilities index for o1-pro. We therefore show no made-up performance rating: only price, context and features count towards its score.

Scores published by Epoch AI on the benchmarks the site tracks:

Features, privacy and local use

• It does not support tool calling: it is not suited to driving an AI agent that has to act.
• It can answer in an enforced JSON format (structured outputs).
• It is a reasoning model: it "thinks" before answering, which helps on hard tasks but uses more output tokens.
• Its knowledge stops at October 2023.

Its weights are not published: it can only be used through the OpenAI API or a broker such as OpenRouter, which means sending your data off your machines.

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