O1
Neural Network
O1 is a reasoning model from OpenAI that thinks longer before answering; o1 is for complex multi-step tasks.
Max answer length
(in tokens)
Context size
(in tokens)
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works O1?
O1 is a family of OpenAI models that spends more time thinking before answering, with reasoning skills developed through large-scale reinforcement learning. This allows o1 to more accurately handle multi-step tasks where consistent reasoning is more important than speed. In BotHub, the model is available from Russia without a VPN or foreign card: you pay in rubles for actual usage, and unused tokens do not expire. Other models are available in the same window—compare answers and switch without rewriting your integration: connection is via a unified OpenAI-compatible API. Chats are encrypted with AES-GCM and not saved. For companies, we offer contracts, invoices, electronic document management, and an admin panel with limits. Analysts use o1 to parse conflicting data and verify logic. Developers use it to find floating bugs, design algorithms, or plan refactoring. Engineers and researchers rely on the model for STEM tasks requiring step-by-step analysis. Product teams use it to run complex scenarios and edge cases before release.Frequently asked questions about O1
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
o1 is an OpenAI model for complex tasks: code analysis, refactoring and debugging, math and STEM, and working with long documents. A 200,000-token context allows you to hold a large codebase or a package of files in a single request. It supports function calling and structured output, making it easy to integrate into your services.
Up to 100,000 tokens in a single response—this is voluminous technical text, long code analysis, or a detailed explanation of a task. If the response hits the limit, ask it to continue: the 200,000-token context allows you to assemble the result in several steps.
o1 belongs to OpenAI's line of reasoning models and breaks down tasks step-by-step before providing an answer. Parameters allow for adjusting reasoning effort: simple requests can be processed faster, while complex ones can be given more time. This is why o1 is more often chosen for math, logic, and code analysis.
Yes, function calling and structured JSON output are supported. The model will return an answer strictly according to your schema, call an external tool, or query a database—this is convenient for agents and pipelines. Through BotHub's unified OpenAI-compatible API, integration is written once for all models.
Text, images, and documents are accepted as input, including natively: you can send a screenshot of an error, a diagram, a PDF, or a table and ask for analysis. Audio and video are not listed as supported inputs—BotHub has separate models for such tasks.
We do not specify the language of prompts and responses in the model's characteristics, so we won't make any promises here—it's easier to check with your own real request. The BotHub service itself works in Russian: access from the Russian Federation without a VPN or foreign card, payment with Russian cards in rubles.