Video classification AI Models

Models listed

25

Reviewed and live in this category

Worth weighing up

What goes in and out, licence terms, and whether you can host it yourself

How we treat data

Published specs only — we don't estimate numbers a vendor hasn't stated

Video classification models are a source-backed task collection in this directory. The current editorial inventory contains 25 mapped model records. Task membership is a discovery signal, not a performance ranking, deployment recommendation, or proof that every checkpoint accepts the same inputs and returns the same outputs.

Start with the model list, then open each record that matches your data, operating constraints, and intended workflow. Check the primary source, documented modalities, license, release information, and implementation notes before using a model in production.

This collection keeps unsupported pricing, availability, and benchmark claims blank. Each page remains outside the public index until an editor approves its content and related model records.

Video classification model list

Scan the table below, then open any model for pricing, limits and the full write-up.

25 models
ModelCapabilityContextInput $/1MOutput $/1MSpeed
facebook/timesformer-base-finetuned-k400
facebook
10.0
facebook/timesformer-base-finetuned-k600
facebook
10.0
facebook/vjepa2-vitg-fpc64-256
facebook
10.0
facebook/vjepa2-vitg-fpc64-384
facebook
10.0
facebook/vjepa2-vitl-fpc16-256-ssv2
facebook
10.0
facebook/vjepa2-vitl-fpc64-256
facebook
10.0
google/videoprism-base-f16r288
google
10.0
google/videoprism-lvt-base-f16r288
google
10.0
google/vivit-b-16x2
google
10.0
google/vivit-b-16x2-kinetics400
google
10.0
KoreaPeter/ms-eff-gcvit-deepfake-b0-celeb-df-v2
KoreaPeter
10.0
KoreaPeter/ms-eff-gcvit-deepfake-b0-ff-plus-plus
KoreaPeter
10.0
KoreaPeter/ms-eff-gcvit-deepfake-b0-kodf
KoreaPeter
10.0
KoreaPeter/ms-eff-gcvit-deepfake-b5-celeb-df-v2
KoreaPeter
10.0
KoreaPeter/ms-eff-gcvit-deepfake-b5-ff-plus-plus
KoreaPeter
10.0
KoreaPeter/ms-eff-gcvit-deepfake-b5-kodf
KoreaPeter
10.0
MCG-NJU/videomae-base
MCG-NJU
10.0
MCG-NJU/videomae-base-finetuned-kinetics
MCG-NJU
10.0
MCG-NJU/videomae-large
MCG-NJU
10.0
microsoft/xclip-base-patch16
microsoft
10.0
microsoft/xclip-base-patch16-zero-shot
microsoft
10.0
microsoft/xclip-base-patch32
microsoft
10.0
microsoft/xclip-base-patch32-16-frames
microsoft
10.0
nvidia/Cosmos-Embed1-448p-anomaly-detection
nvidia
10.0
OpenGVLab/VideoMAEv2-Base
OpenGVLab
10.0

25 models · click a column to sort

About the capability score: a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.

Video classification model questions

It groups source-backed directory records for research and comparison. Review each model page and its primary documentation because collection membership alone does not prove quality, availability, or suitability.