Xclip Base Patch 32
Microsoft's Xclip Base Patch 32 is a vision model capable of general video-language understanding, trained fully-supervised on Kinetics-400. It is genuinely best at tasks like zero-shot, few-shot, or fully supervised video classification and video-text retrieval. Notably, this model was trained using a contrastive approach on video and text pairs, and achieves a top-1 accuracy of 80.4% and a top-5 accuracy of 95.0%.
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Frequently asked questions about Xclip Base Patch 32
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Microsoft has not published a context window for Xclip Base Patch 32, so the catalog shows it as not available rather than estimating one.
Yes. Xclip Base Patch 32 is an open-weight model released under the MIT license, so the weights can be downloaded and self-hosted within that license's terms.
Xclip Base Patch 32 accepts Video and Text and produces Embedding. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
No published benchmark result for Xclip Base Patch 32 is in the catalog yet, so the model is shown as unmeasured. It is not ranked or estimated; the router treats it as unknown for every task until a suite measures it.
Not on the managed pool today; Xclip Base Patch 32 is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
Microsoft has not published a parameter count for Xclip Base Patch 32, so the catalog cannot estimate its memory footprint. The capacity planner can size it from a parameter count you supply.
Fields collected from public registries, host APIs and benchmark publishers, each tagged with its source.
Last updated: Aug 28, 2026
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