Colpali v1.3 measured on 8 of 203 Multimodal benchmarks8
BenchmarkByScoreRank
No benchmark matches
self-host onlyprice
79.4MIEB lite
Nov 2024released
16K tokensMax input
enLanguages
Ranking?
Full ranking →···
33Eager Embed v184.934Colpali v1.384.835DNA VL STEER 2B84Strong at
Alternatives?
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
DArgus Colqwen3.5 9B v0unstatedOpen+9%——Memory (4-bit): 1.8 GB → 5.3 GBRun 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
LicenceApache-2.0free for commercial use
History
3 versionsBenchmarks
in Embeddings & RetrievalMMEB-V2lab44.2
FAQ
How much does Colpali v1.3 cost?›
There is no per-unit API price: self-host only.
Is Colpali v1.3 free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is Colpali v1.3, and what is it best at?›
#36 of 89 in Multimodal.
Is Colpali v1.3 better than Eager Embed v1?›
On MIEB multilingual · Document Understanding · English, Colpali v1.3 scores 84.8 vs 84.9 — about the same.
When was Colpali v1.3 released? Is there a newer version?›
Released 2024-11-01. It is the current version in its line.
Is Colpali v1.3 open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Colpali v1.3 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Colpali v1.3?›
Colpali v1.3 is an open-weights embeddings & retrieval model from vidore, released Nov 2024.
What are the best alternatives to Colpali v1.3?›
Jina Embeddings v4 (better), Argus Colqwen3.5 9B v0 (open weights).