Alibaba’s Qwen team today released a new set of Qwen3-VL Cookbooks. It is a curated collection of notebooks designed to show how Qwen3-VL can be used across a range of multimodal tasks.
The Cookbooks are said to be structured in a way so developers and researchers can experiment with Qwen3-VL either via local deployment or via API, depending on their infrastructure and needs.
The collection covers different use cases, like: Thinking with Images, Computer-Use Agent (i.e., GUI agents), Multimodal Coding, Omni Recognition, Advanced Document Parsing, Precise, Object Grounding across formats, General OCR & Key Info Extraction, 3D Grounding, Long, Document Understanding, Spatial Reasoning, Mobile Agent, and Video Understanding.
Qwen3-VL is already positioned as the “most powerful vision-language model in the Qwen series,” according to its developers. It supports long context lengths (256K native, expandable) and improved video, spatial, and visual reasoning capabilities.
But models are only useful when people can build with them. These Cookbooks lower the barrier: they provide ready-made notebooks, example workflows, and deployment guidance. In practice, this means teams can prototype use cases more quickly, adapt parts to their application, and validate whether Qwen3-VL delivers on its claims in their domain.
Another benefit is that by supporting both local and API-based usage, the Cookbooks allow teams to choose the tradeoffs they prefer (latency, privacy, cost) rather than being locked into one mode.
Speaking of making work easier for AI users, we recently launched Geekflare Connect, a platform that lets you connect multiple AI API keys (OpenAI, Google, Anthropic, and more) into a single workspace.
So if you are experimenting with models, Geekflare Connect gives you a unified interface rather than juggling multiple dashboards and APIs.
