Qwen3.6 Flash
Neural Network
Qwen3.6 Flash is a fast Alibaba model with 1M token context; Qwen3.6 Flash API for large documents and multimodal tasks.
Specifications
- Input
- text, images, documents
- Output
- text
- Context size
- 1 000 000 tokens
- Max answer length
- 65 536 tokens
- Reasoning effort
- low, medium, high
- Capabilities
- reasoning, function calling
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works Qwen3.6 Flash?
Qwen3.6 Flash is a model from Alibaba's Qwen 3.6 series, designed for speed and cost-efficiency. It accepts text, images, and video, and its 1M token context window allows you to process voluminous documentation, long code, or large archives of correspondence in a single request without splitting. In BotHub, the model works from Russia without a VPN or foreign card: you top up your balance with a Russian card in rubles and pay per token, not for a subscription, and tokens do not expire. Over 250 other neural networks are available in the same window, so you can compare answers or switch models in a few clicks. A unified OpenAI-compatible API allows you to do this in code without rewriting integrations. Requests are encrypted; for companies, we offer contracts, invoices, EDI, and an admin panel with limits. It is useful when you need to quickly process a stream of similar requests, summarize long reports, analyze code, extract data from screenshots and video frames, or build an assistant where response speed is critical.Frequently asked questions about Qwen3.6 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.
It is a text model: it answers questions, writes and analyzes code, and helps with texts and documents. It is suitable for long materials and agent scenarios — it accepts images and documents, can reason, and call external tools. Available in BotHub in one window with other models, accessible from Russia without a VPN.
The maximum volume of a single response according to BotHub data is 65,536 tokens, and the context reaches one million tokens. This means long documents and large code fragments fit into one window, and the output is a voluminous text without needing to stitch multiple pieces together.
Yes, the model can reason before answering: it goes through the task step-by-step and only then provides the final result. This significantly helps with math, logic, data analysis, and debugging, where a correct answer is more important than a fast one.
Yes, function calling and structured JSON output are supported. The model returns the answer in a specified schema, making it easy to connect to external services and databases via the unified OpenAI-compatible BotHub API, without rewriting integrations when switching models.
According to our data, images and documents are accepted — you can upload a scan, table, or PDF and ask questions about the content. There is no confirmed information regarding audio and video input, so we cannot confirm or deny it.
There is no reliable quality assessment specifically for the Russian language in our data, so we will not make promises. It is more practical to test it with your own tasks: payment is per use, without a subscription, and you can switch to another model in BotHub right in the same window.