Qwen2.5-VL 72B on live video streams

What Qwen2.5-VL 72B is good at

Qwen2.5-VL 72B was built with unusually strong document parsing and object grounding: it can return precise bounding boxes and points, not just descriptions, and reads dense documents, tables, and forms reliably. That grounding precision carries over to video, where the model can localize when specific events happen within a long clip.

It also has real agentic ability, functioning as a visual grounding backbone for computer-use tasks that need to click, read, and reason about on-screen elements. That combination of precise localization and agentic reasoning makes it a natural fit for automation over a live camera or screen share.

• Precise object grounding with bounding boxes and points
• Document and form parsing with high structural accuracy
• Long-video event localization and agentic computer-use tasks

Qwen2.5-VL 72B and Overshoot's live-video workflow

Qwen2.5-VL 72B is not currently in Overshoot's live model catalog; GET /v1beta/models lists what is live at any time. The workflow it would plug into is the same across the API: create a Stream, publish a LiveKit video track, then send a chat-completions request whose image_url or video_url is an ovs:// reference. Overshoot retains 600 seconds of frame history, so a request can anchor the latest frame, an exact timestamp, or a bounded recent segment sampled at up to 1 fps for event-localization queries.

Qwen2.5-VL 72B's grounding precision and agentic ability map naturally onto that pattern: agentic loops that call a model repeatedly against the same stream benefit from SSE token streaming and a reused thread_id keeping the prompt cache warm.

How it compares to Qwen3-VL

Qwen2.5-VL 72B is the flagship of the previous generation, and Qwen3-VL 32B and 235B-A22B improve on it in general video and long-context understanding. Teams already standardized on Qwen2.5-VL’s grounding and document-parsing behavior, or building on its established computer-use tooling, still have good reason to stay on 72B rather than move to the newer line.

Frequently asked questions

Can Qwen2.5-VL 72B analyze live video?

Qwen2.5-VL 72B is strong at video understanding, including localizing when specific events happen in a long clip, when self-hosted or served by another provider. It is not currently in Overshoot's live model catalog, so it cannot be referenced against an Overshoot WebRTC stream today. Check GET /v1beta/models for the current catalog.

Is Qwen2.5-VL 72B open source?

Weights are released under the Qwen license, which permits broad use with some conditions, including downloading and self-hosting the model.

Is Qwen2.5-VL 72B available on Overshoot?

Not currently. Qwen2.5-VL 72B is not in Overshoot's live model catalog. The catalog changes over time, so check GET /v1beta/models for the up-to-date list of hosted and passthrough models.

What is Qwen2.5-VL 72B best used for?

It excels at tasks that need precise localization: reading and structuring documents, grounding objects with boxes or points, finding when an event occurs in a long video, and driving computer-use agents that need to identify and act on specific on-screen elements.

Related models

• Qwen3-VL 32B
• Qwen2.5-VL 7B
• QVQ-72B
• GLM-4.5V
• Qwen3.6 27B
• Qwen3.6 35B A3B