Qwen3 Max Thinking
Neural Network
Qwen3 Max Thinking is Alibaba's flagship reasoning model for multi-step tasks and deep analysis.
Max answer length
(in tokens)
Context size
(in tokens)
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works Qwen3 Max Thinking?
Qwen3 Max Thinking is Alibaba's flagship reasoning model from the Qwen3 line, designed for critical tasks requiring multi-step responses. With increased capacity and large-scale reinforcement learning, it processes thoughts longer and maintains logic more accurately in long chains, rather than outputting the first formulation that comes to mind, unlike Qwen3 versions without reasoning mode. In BotHub, the model is accessible from Russia without a VPN or foreign card, with payment in rubles based on actual usage—for tokens consumed, which do not expire. Over 250 neural networks await you in the same window: easily compare answers and switch models. A unified OpenAI-compatible API allows connecting the Qwen3 Max Thinking API to your service without rewriting integrations. Chats are encrypted, and companies have access to contracts, invoices, and an admin panel with limits. Qwen3 Max Thinking helps analysts untangle multi-factor tasks and verify conclusions, developers debug complex logic and find errors, researchers compare sources and gather arguments, and product managers calculate solution scenarios before launch.Frequently asked questions about Qwen3 Max Thinking
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 a Qwen text model with reasoning before answering. It is suitable for analyzing long documents, working with code—explaining, refactoring, debugging—as well as for logic and STEM tasks. It accepts text, documents, and images, calls functions, and returns structured JSON. Context is 262,144 tokens.
The output limit is 65,536 tokens per response: this is enough for a voluminous document, detailed analysis, or a large code file. If you need more, split the task into parts and continue in the same dialogue—the 262,144-token context will retain the entire history.
Yes, the reasoning mode is confirmed by our data: the model first breaks the task down into steps and only then formulates an answer. This noticeably helps with math, logic, code debugging, and situations where you need to synthesize conditions from a long document.
Yes, the model supports function calling and structured JSON output—you can connect it to your tools, databases, and services. In BotHub, it is available via a unified OpenAI-compatible API, so replacing the model in your agent does not require rewriting the integration.
Images and documents—yes, they are listed as supported input formats: you can send an interface screenshot, diagram, chart, contract, or report and ask to analyze the content. Audio and video input is not noted in our data, so choose a specialized model for such files.
There is no information about languages in the model's specifications, so we will not claim accuracy in Russian. You can check this in a minute: send your usual work request and compare the answer with another model in the same window. Access from Russia without a VPN or foreign card, payment in rubles based on actual usage.