Qwen3 Max
Neural Network
Qwen3 Max is an updated Qwen3 series model from Alibaba for complex reasoning and precise instruction following.
Max answer length
(in tokens)
Context size
(in tokens)
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works Qwen3 Max?
Qwen3 Max is an updated release in Alibaba's Qwen3 line. Compared to the January 2025 version, it features significantly improved reasoning, instruction following, multilingual capabilities, and knowledge of rare, niche topics. This makes the model ideal for tasks requiring specific logic and formatting. In BotHub, Qwen3 Max is accessible without a VPN or foreign card: pay in rubles with a Russian card, paying only for tokens used, with no balance expiration. Over 250 models are available in the same window, allowing easy switching and comparison. A unified OpenAI-compatible API lets you connect the model to your service and swap it later without rewriting integrations. Chats are encrypted via AES-GCM. For companies, we offer contracts, invoices, EDI, and an admin panel with limits. It is useful for breaking down complex tasks, generating responses strictly according to your template, working with multilingual materials, exploring niche topics, or running the same prompt through multiple models to choose the best result.Frequently asked questions about Qwen3 Max
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.
Qwen3-max works with text and documents: it can analyze long contracts or reports, assist with code (refactoring, debugging, explaining functions), and create drafts or summaries. It accepts images as input and calls tools, making it suitable for both analytics and product-integrated scenarios.
The single response limit is 65,536 tokens, which is dozens of pages at once. This is enough for a large technical document, detailed code analysis, or a long series of edits without cutting off. The context window is 256,000 tokens, so the response is based on all uploaded material.
A separate reasoning mode is not explicitly noted in our data, but that doesn't mean it's absent. In practice, the model handles multi-step tasks well: ask it to break down a solution step-by-step, show intermediate calculations, or check logic, and you will get a detailed thought process.
Yes, it supports both. The model calls your functions and tools, returning structured JSON according to a specified schema — this is convenient for agents, document parsing, and integrations. In BotHub, everything works via a unified OpenAI-compatible API, making connection familiar.
Images — yes: send a screenshot, diagram, table, or photo of a page and ask it to analyze the content. The model also accepts documents. Audio and video are not listed in our input formats — for such tasks, BotHub has separate models, which you can switch to in the same window.
We don't have specific data on languages, so we cannot make exact promises. The Qwen series is originally developed as multilingual, so test the model with your task: in BotHub, access is open from Russia without a VPN or foreign card, with payment in rubles.