GPT-5
Neural Network
GPT-5 is an OpenAI model for complex reasoning and coding: GPT-5 for code, analysis, and precise instruction following.
Specifications
- Input
- text, images, documents
- Output
- text
- Context size
- 400 000 tokens
- Max answer length
- 128 000 tokens
- Reasoning effort
- minimal, low, medium, high
- Capabilities
- reasoning, function calling, Batch API
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
Image prompt
(per 1K tokens)
How it works GPT-5?
GPT-5 is an OpenAI model designed for tasks requiring sequential reasoning, precise instruction following, and accurate results. Improvements over previous versions focus on code quality and reasoning depth, allowing the model to handle long, multi-step scenarios: it breaks down conditions, maintains logic, and completes solutions. In BotHub, it works without VPN or foreign cards: pay with a Russian card in rubles only for tokens used, which never expire. With over 250 other neural networks in one window, you can easily run the same task through multiple models to compare answers. A unified OpenAI-compatible API allows switching between them without rewriting integrations. Dialogs are encrypted; for companies, we offer contracts, invoices, electronic document management, and an admin panel with limits. It's up to you: write and refactor code, debug logs, prepare analytical reports and summaries of long documents, design service architecture, and integrate the model into your products via API.Frequently asked questions about GPT-5
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.
GPT-5 by OpenAI is a text model for complex work: long documents, code (writing, refactoring, debugging), reasoning and STEM tasks, image and file analysis. A 400,000-token context allows keeping an entire project, a stack of reports, or correspondence in one dialog. Suitable for assistants, analytics, and API automation.
The output limit is up to 128,000 tokens per response, which is dozens of pages of text. This is enough for a technical document, a translation of a large chapter, or an entire bulky code module. If the task is larger, break it into parts: tokens in BotHub are charged based on usage and do not expire.
Yes, reasoning before answering is supported, and you control the depth: faster and more economical for simple queries, more thorough for math, logic, and code analysis. The detail level of the final text is also adjustable, so you can get either a short output or a detailed explanation.
Yes, the model supports function calling and structured JSON output — convenient for agents that trigger your services and for parsing responses without regular expressions. In BotHub, all this is available via a unified OpenAI-compatible API, so switching models does not require rewriting integrations.
Images and documents — yes: send a screenshot of an interface, a diagram, a PDF, or a table with your question and get an analysis. There is no information in our data about audio or video input, so for transcribing recordings or working with videos, it is better to choose a specialized model in BotHub.
Quality for specific languages is not recorded in our data, so we won't make promises — test the model on your task, it's faster than any description. BotHub itself works in Russian: access without VPN or foreign cards, payment in rubles, and other models are available nearby for comparison.