O4 Mini
Neural Network
O4 Mini is a compact OpenAI reasoning model: o4-mini for code, logic, and tool-calling tasks.
Max answer length
(in tokens)
Context size
(in tokens)
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works O4 Mini?
O4 Mini is a compact model from OpenAI's o-series, designed for fast, step-by-step reasoning with cost-efficiency, featuring multimodal input and tool support. In BotHub, the model is accessible without a VPN or foreign card: top up your balance with a Russian card in rubles and pay only for actual tokens used, which never expire. With over 250 other neural networks in one window, you can instantly compare o4-mini's response with other models. The unified OpenAI-compatible API allows switching between them without rewriting integrations. Chats are encrypted via AES-GCM, and companies get access to contracts, invoices, and an admin panel with limits. For developers, o4-mini helps analyze unfamiliar code, debug, and write tests. For analysts, it performs multi-step calculations and verifies logic. For agent builders, function calling is useful: the model decides when to use search, a calculator, or your service. For product teams, it serves as a fast layer for high-volume, repetitive requests.Frequently asked questions about O4 Mini
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.
o4-mini is an OpenAI reasoning model with a 200,000 token context. It is suitable for coding tasks: analysis, debugging, and refactoring, as well as STEM problems, document and image analysis, and agent scenarios with tool calling. It accepts text, documents, and images as input.
According to our data, the maximum output is 100,000 tokens per response. This is enough for a large code module, a detailed technical analysis, or an entire long document. If the task is larger, break it into parts and continue in the same chat.
Yes, reasoning before answering is confirmed. The model builds an internal chain of steps before providing a result — this is noticeable in math, logic, and multi-step debugging. Reasoning tokens are paid for as you go, without a subscription, and unused balance does not expire.
Yes, o4-mini supports function calling and structured JSON output. This allows you to connect it to your services, databases, and agents via the unified OpenAI-compatible BotHub API — switching to another model will not require rewriting your integration.
Images and documents — yes: the model accepts images and files, including native documents, so you can ask it to analyze a screenshot, diagram, or report. Audio and video as input formats are not supported according to our data.
We do not have data on prompt and response languages, so it is better to evaluate it yourself: open o4-mini in BotHub and test it with your real task. Access from Russia without a VPN or foreign card, payment with Russian cards, and other models nearby for comparison.