Qwen3.7 Plus
Neural Network
Qwen3.7 Plus is an Alibaba model from the Qwen3.7 series: accepts text and images, responds with text, available via API in BotHub.
Specifications
- Input
- text, images, documents
- Output
- text
- Context size
- 262 144 tokens
- Max answer length
- 131 072 tokens
- Reasoning effort
- low, medium, high
- Capabilities
- reasoning, function calling
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works Qwen3.7 Plus?
Qwen3.7 Plus is an Alibaba model from the Qwen3.7 line, designed for a balance of quality and cost: it accepts text and images as input and responds with text, so a single request can combine a screenshot or photo with a standard task description. The series' text capabilities have been improved compared to the previous generation. Through BotHub, the model works without a VPN or foreign card: pay with a Russian card in rubles based on usage, no subscription, and unused tokens do not expire. Over 250 models are available in one window—you can switch and compare answers, and a unified OpenAI-compatible API allows you to change models in a multi-model system without rewriting the integration; data is transmitted with AES-GCM encryption, and for companies, there is a contract, invoice, EDI, and an admin panel with limits. Useful when you need to parse long text and summarize it, turn the content of a screenshot or diagram into a text description, prepare drafts of letters and documentation, answer questions about an attached image, or embed an affordable model into your own service.Frequently asked questions about Qwen3.7 Plus
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.
The model accepts text, documents, and images, and responds with text. It is suitable for parsing voluminous reports and contracts, working with code—refactoring and debugging, analyzing screenshots and diagrams, and solving STEM problems. A context of 262,144 tokens allows you to keep an entire project or set of documents in the dialogue.
Up to 131,072 tokens in a single response—this is enough for a voluminous article, technical documentation, or a large code module without splitting it into parts. Need more? Continue generation with the next request: the 262,144-token context is sufficient for the model to remember what has already been written.
Yes, the reasoning mode before answering is confirmed by our data. The model first builds a chain of steps and only then provides the result. This significantly helps with math, logic, code debugging, and anywhere where careful analysis of the condition is important, rather than an instant reply.
Yes, the model supports function calling and structured JSON output. You describe a set of tools, it selects the appropriate one itself and returns arguments according to the specified schema. Through the unified OpenAI-compatible BotHub API, such logic is convenient to embed into agents and work pipelines.
Images and documents—yes: send screenshots, diagrams, charts, report pages, and the model will parse them, responding with text. Audio and video input are not noted in our data, so it is better not to count on them—there are specialized models in the catalog for sound and videos.
We do not have data on prompt and response languages, so we will not promise anything in advance—it is more reliable to test the model on your task with a couple of requests and compare it with another in the same window. Access works from Russia without a VPN, payment with a Russian card in rubles.