O3 Mini High
Neural Network
o3-mini-high is an OpenAI model with enhanced reasoning for STEM tasks: science, mathematics, and precise calculations.
Max answer length
(in tokens)
Context size
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Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works O3 Mini High?
o3-mini-high is OpenAI's o3-mini with an enhanced reasoning level (reasoning_effort: high): the model spends more steps analyzing the prompt before answering. The base version is designed as a cost-effective model for STEM and is strong in natural sciences and mathematics, where the answer must be derived rather than recalled. The difference from the standard o3-mini is factual: it is the same model but with a larger reasoning budget. In BotHub, access is available without a VPN or foreign card; payment is made with a Russian card based on actual token usage, and unused tokens do not expire. Over 250 models are available in one window: you can compare answers to the same prompt, and a unified OpenAI-compatible API allows you to switch models without rewriting integrations. For companies, BotHub provides contracts, invoices, and an admin panel with limits. It is useful when you need to break down a problem step-by-step, verify a formula derivation, proofread engineering calculations, debug an algorithm, or explain the logic of a solution to students and colleagues.Frequently asked questions about O3 Mini High
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.
This is an OpenAI text model for tasks where reasoning accuracy is important: code, mathematics, logic, document analysis, and comparison. The context window is 200,000 tokens, so you can upload a large file in its entirety and discuss it in parts without losing details.
The output limit is up to 100,000 tokens, which is tens of pages of text or a large code module in one pass. In practice, the volume depends on the prompt: if you need a detailed analysis or a full file, ask for it directly in your request.
The 'high' suffix in the name indicates an increased effort level: the o3-mini model spends more steps on internal task analysis before answering. There is no specific indication of showing the thought process in our data, so focus on the final result.
Yes, function calling and structured JSON output are confirmed by our data. The model can be embedded into an agent that accesses your tools and returns an answer according to a specified schema. BotHub's unified OpenAI-compatible API allows you to switch to another model without rewriting integrations.
In addition to text, the model accepts documents: upload a file and ask to analyze the content, summarize findings, or find specific fragments. There is no indication of image, audio, or video support in our data, so for such tasks, it is more convenient to choose a specialized model in the same window.
There are no separate measurements by language in our data, so we will not promise specific accuracy—it is easier to check with your typical prompt. The service itself is fully accessible from Russia: without a VPN or foreign card, payment is made with Russian cards in rubles.