GPT 3.5 Turbo
Neural Network
GPT-3.5 Turbo is a fast OpenAI model for chat, text generation, and coding tasks, available via API in BotHub.
Max answer length
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Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works GPT 3.5 Turbo?
GPT-3.5 Turbo is an OpenAI model built for speed: the vendor calls it the fastest in its lineup. It understands and generates natural language and code, optimized for chat and text completion. Training data is limited to September 2021, so it excels in tasks where speed matters more than up-to-date facts. Connect gpt-3.5-turbo via BotHub without VPN or foreign cards: pay with a Russian card in rubles only for used tokens, which do not expire. All models are in one window, and a unified OpenAI-compatible API allows switching models without rewriting integration. Chats are encrypted, and companies get contracts, invoices, and an admin panel with limits. Use this model for chatbots, first-line support, drafts, descriptions, posts, routine coding tasks (explaining snippets, drafting functions, debugging), classifying large streams of short requests, and quick prototypes that can later be moved to a heavier model.Frequently asked questions about GPT 3.5 Turbo
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-3.5-turbo is an OpenAI text model for everyday tasks: rewriting emails, summarizing documents, drafting code, or parsing data structures. It has a 16,385-token context window and accepts text, documents, and images. Convenient as a fast tool in chat and via API.
The model generates up to 4,096 tokens per response, which is about a few pages of text. If you need more, break the task into parts and ask it to continue: the conversation history plus your request fits within the 16,385-token context.
Our data does not indicate a separate reasoning mode for gpt-3.5-turbo, so don't expect an extended chain of thought. However, you can ask the model to break down the task step-by-step in your prompt — this is usually enough for simple logic.
Yes, function calling and structured JSON output are supported. This allows connecting the model to external services, getting responses in a specific schema, and building agent scenarios. BotHub uses a unified OpenAI-compatible API, so you can switch to another model later without rewriting code.
According to our data, it accepts text, documents, and images — you can ask it to describe an image or extract data from a file. There is no mention of audio or video support for this model, and it generates text: use other models in the same window for audio and video.
There is no separate evaluation for Russian language performance in our data, so we won't promise exact figures — it's easier to test the model on your task directly in the chat. BotHub itself is fully in Russian: interface, support, and payment with Russian cards, without VPN or foreign cards.