Seed 1.6 Flash
Neural Network
Seed 1.6 Flash is a multimodal ByteDance Seed model with a 256k token context for working with text and images.
Max answer length
(in tokens)
Context size
(in tokens)
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works Seed 1.6 Flash?
Seed 1.6 Flash is a fast multimodal model from the ByteDance Seed team: it understands both text and images, and the 256k token context window allows you to keep voluminous documents, long logs, or an entire codebase in a single dialogue. The Flash version is designed for fast response times while maintaining deep reasoning, making it suitable for tasks where an answer is needed almost instantly. Through BotHub, the model is accessible without a VPN or foreign card: you pay in rubles only for the tokens used, and unused tokens do not expire. Other models are available in the same window, so you can compare answers in a couple of clicks, and a unified OpenAI-compatible API eliminates the need to rewrite integrations when switching engines; traffic is encrypted via AES-GCM, and for companies, contracts, invoices, electronic document management, and an admin panel with limits are available. It is useful for analyzing long reports and correspondence, describing and classifying images, writing and debugging code, building assistants and chatbots with fast response times, and processing documents in streams via API.Frequently asked questions about Seed 1.6 Flash
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.
seed-1.6-flash is a fast text model from ByteDance Seed for daily and work tasks: analyzing documents and images, reasoning and STEM, working with code, and function calling. A large context of up to 262,144 tokens allows you to keep long materials in a single dialogue. Through BotHub, the model is available without a VPN or foreign card, with pay-as-you-go billing.
In a single response, the model outputs up to 32,768 tokens — this is several dozen pages of text, depending on the language and formatting. This is enough for long instructions, code analysis, and voluminous documents. If you need more, the dialogue can be continued with several messages — the context of up to 262,144 tokens allows this. Through BotHub, tokens do not expire.
Yes, this is a reasoning model: before answering, it can go through a chain of steps and provide a ready-made solution. This is especially noticeable in mathematics, logic, and programming tasks where sequence is important. The dialogue shows the result, not the draft, so the answers are convenient to use in work.
Yes, function calling and structured output are supported. The model can be connected to external services and databases, and you can request the response in strict JSON — this is convenient for integrations, automation, and agent scenarios. Through the unified OpenAI-compatible BotHub API, this model connects to your code without rewriting the integration.
You can upload images and documents — the model recognizes their content and answers based on them, for example, analyzing scans, tables, diagrams, or code screenshots. Audio and video input is not noted in our data, so you should not count on this format. Everything else — text, images, and files — works in one BotHub window.
There is no data on the quality of Russian language understanding in the model description, so we will not make promises: the model is primarily optimized for fast problem solving and working with code. A practical tip — test it with your own texts and prompts; comparison takes a couple of minutes right in the BotHub interface.