Xclip Large Patch14 measured on 13 of 195 Multimodal benchmarks13
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self-host onlyprice
8.2MVEB text video v1
Aug 2022released
768Dimensions
0K tokensMax input
enLanguages
Alternatives?
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
LLCO Embedding Omni 3BunstatedOpen+36%——Languages: not verified+1LLCO Embedding Omni 7BunstatedOpen+28%——Languages: not verified+1VVLM2Vec v2.0Open+20%——Memory (4-bit): 0.3 GB → 1.3 GBHE5 Omni 3BunstatedOpen+17%——Languages: not verified+1Run it yourself
estimateFits on✓ 8 GB (phone, laptop) · full quality✓ 16 GB · full quality✓ 24 GB GPU · full quality✓ 48 GB GPU · full quality✓ 80 GB GPU · full quality
LicenceMITfree for commercial use
Benchmarks
in Embeddings & RetrievalFAQ
How much does Xclip Large Patch14 cost?›
There is no per-unit API price: self-host only.
Is Xclip Large Patch14 free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is Xclip Large Patch14, and what is it best at?›
#17 of 27 in Multimodal.
Is Xclip Large Patch14 better than Qwen 2.5 Omni 3B?›
On MVEB text video v1 · Video Centric QA · English, Xclip Large Patch14 scores 24.2 vs 24.4 — about the same.
When was Xclip Large Patch14 released? Is there a newer version?›
Released 2022-08-04. It is the current version in its line.
Is Xclip Large Patch14 open source?›
Yes, the weights are open (MIT licence).
Can I run Xclip Large Patch14 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Xclip Large Patch14?›
Xclip Large Patch14 is an open-weights embeddings & retrieval model from Microsoft, released Aug 2022.
What are the best alternatives to Xclip Large Patch14?›
Jina Embeddings v5 Omni Small (better), LCO Embedding Omni 3B (open weights).