GPT 3.5 Turbo 16K
Neural Network
GPT 3.5 Turbo 16K is an OpenAI model with extended context for long texts and documents, available in BotHub via GPT 3.5 Turbo 16K API.
Max answer length
(in tokens)
Context size
(in tokens)
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works GPT 3.5 Turbo 16K?
GPT 3.5 Turbo 16K is an OpenAI version of GPT 3.5 Turbo with an increased context window: it holds about twenty pages of text in one request, four times more than the base version. This allows the model to keep a long document or entire conversation in view and answer based on the full material, not just a fragment. In BotHub, the model is accessible without a VPN or foreign card; payment is made with Russian cards in rubles, charged per used token, and tokens do not expire. Over 250 neural networks are available in the same window, allowing you to compare answers and switch models. A unified OpenAI-compatible API lets you connect the model to your product and switch it without rewriting the integration; data is encrypted via AES-GCM and not saved. For companies, BotHub provides contracts, invoices, and electronic document management, plus an admin panel with team limits. Useful for analyzing long reports or contracts, summarizing multi-page articles, maintaining dialogues with full history, or processing streams of similar documents via API.Frequently asked questions about GPT 3.5 Turbo 16K
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 with a 16,385 token context. Suitable for correspondence and editing, document summarization, code generation and analysis, refactoring, debugging, classification, and data extraction. Accepts text, documents, and images as input, supports function calling. Accessible from Russia without VPN or foreign cards.
In one response, the model outputs up to 4096 tokens — enough for an article, detailed instruction, or a large code fragment. The total window is 16,385 tokens for request and response combined, so it is more convenient to generate very long texts in parts, passing the previous fragment.
A separate reasoning mode is not noted in our data, so do not expect ready-made chains of thought by default. However, you can ask it to break down a task step-by-step directly in the prompt. For heavy logic and STEM, switch to a reasoning model in the same BotHub window.
Yes. The model supports function calling and structured JSON output: it selects the necessary tool and returns arguments according to a specified schema. This is convenient for bots, integrations with your backend, and extracting fields from text. Everything works via the unified OpenAI-compatible BotHub API.
You can upload images and documents: the model analyzes the content of images and files, responding with text. There are no notes in our data regarding audio and video, so for transcribing recordings or working with clips, it is better to use a specialized model — it is nearby, in the same interface.
We do not have data on prompt and output languages, but the GPT-3.5 line is inherently multilingual, so the model works with Russian. Test it on your scenario: if the phrasing seems dry, switch to another model in BotHub without rewriting the integration.