Qwen3.8 Max 0902
Neural Network
Qwen3.8 Max 0902 is a multimodal model from Alibaba Qwen: accepts text, images, and video as input and returns a text response.
Specifications
- Input
- text, images, documents
- Output
- text
- Context size
- 1 000 000 tokens
- Max answer length
- 131 072 tokens
- Reasoning effort
- minimal, low, medium, high, extra high
- Capabilities
- reasoning, function calling
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works Qwen3.8 Max 0902?
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team, a mixture-of-experts model with 2.4 trillion parameters. It accepts text, images, and video as input and responds with text, allowing one model to handle both visual analysis and standard text tasks. The 0902 index denotes a specific fixed version snapshot. In BotHub, the model is accessible without a VPN or foreign card: pay with a Russian card in rubles, pay-as-you-go for tokens used, and they do not expire. Over 250 models are available in the same window, making it easy to compare answers, and a unified OpenAI-compatible API allows you to swap models in your service without rewriting the integration. Dialogs are encrypted via AES-GCM and not saved, while teams have access to contracts, invoices, EDI, an admin panel, and limits. Use Qwen3.8 Max 0902 when you need to explain the content of a screenshot or diagram, generate a text description from a video clip, analyze a long document and summarize it, prepare a draft, or integrate the model into your product via API.Frequently asked questions about Qwen3.8 Max 0902
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.
qwen3.8-max-0902 is a text model from Qwen with a million-token context. It accepts text, documents, and images as input, can reason before answering, and call external functions. It is suitable for working with large codebases, document analysis, debugging and refactoring, as well as complex math and logic tasks.
The output limit is 131,072 tokens per response. This is enough for a voluminous technical document, a large code module, or a detailed analysis. If the material still doesn't fit, ask for a continuation: the million-token context allows you to keep the entire previous text in the dialogue.
Yes, reasoning before answering is confirmed. The model can break down a task into steps, check intermediate conclusions, and only then provide a result. This significantly helps in math, logic, data analysis, and analyzing third-party code, where correctness of the solution process is more important than speed.
Yes, qwen3.8-max-0902 supports function calling and structured JSON output. You describe the schema and tools, and the model returns a valid object or request to your service. In BotHub, this works via a unified OpenAI-compatible API, so you can switch an agent to another model without rewriting the integration.
You can input images and documents — the model will analyze an interface screenshot, diagram, chart, or PDF and respond with text. Audio and video input is not noted in our data, so do not count on it in advance. There are separate models for audio and video in BotHub.
We do not have specific data on prompt and response languages, so we won't promise anything specific — test the model on your task. BotHub itself works from Russia without a VPN or foreign card, payment is via ruble cards, and other models are open nearby for comparison.