Colqwen2.5 v0.2 measured on 8 of 203 Multimodal benchmarks8
BenchmarkByScoreRank
No benchmark matches
self-host onlyprice
86.1MIEB lite
Jan 2025released
128K tokensMax input
enLanguages
Ranking?
Full ranking →···
24Jina Embeddings v481.225Colqwen2.5 v0.281.126SauerkrautLM ColQwen3 2B v0.181Strong at
Alternatives?
ModelScoreCostPriceWhat changes
DBetterArgus Colqwen3.5 9B v0unstatedOpen+6%——Max input: 128K tokens → 33K tokens+1vBetterVultronRetrieverPrime Qwen3.5 8BOpen+5%——Memory (4-bit): 1.8 GB → 5 GBOBetterOps Colqwen3 4BOpen+5%——Max input: 128K tokens → 33K tokens+2
BetterNemotron Colembed VL 8B v2Open+5%——Languages: not verified+1vBetterVultronRetrieverCore Qwen3.5 4.5BOpen+4%——Memory (4-bit): 1.8 GB → 2.7 GBModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
DArgus Colqwen3.5 9B v0unstatedOpen+6%——Max input: 128K tokens → 33K tokens+1vVultronRetrieverPrime Qwen3.5 8BOpen+5%——Memory (4-bit): 1.8 GB → 5 GBOOps Colqwen3 4BOpen+5%——Max input: 128K tokens → 33K tokens+2Nemotron Colembed VL 8B v2Open+5%——Languages: not verified+1vVultronRetrieverCore Qwen3.5 4.5BOpen+4%——Memory (4-bit): 1.8 GB → 2.7 GBModelScoreCostPriceWhat changes
DArgus Colqwen3.5 9B v0unstatedOpen+6%——Max input: 128K tokens → 33K tokens+1vVultronRetrieverPrime Qwen3.5 8BOpen+5%——Memory (4-bit): 1.8 GB → 5 GBOOps Colqwen3 4BOpen+5%——Max input: 128K tokens → 33K tokens+2Nemotron Colembed VL 8B v2Open+5%——Languages: not verified+1vVultronRetrieverCore Qwen3.5 4.5BOpen+4%——Memory (4-bit): 1.8 GB → 2.7 GBModelScoreCostPriceWhat changes
vColqwen2 v1.0Open-2%——Max input: 128K tokens → 33K tokensvColpali v1.3Open-6%——Max input: 128K tokens → 16K tokensvColpali v1.2Open-8%——Max input: 128K tokens → 16K tokensvColpali v1.1Open-11%——Max input: 128K tokens → 16K tokensvColSmol 500MOpen-12%——Max input: 128K tokens → 8K tokensvColSmol 256MOpen-18%——Max input: 128K tokens → 8K tokensAll vidore models →Run 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
2 versionsBenchmarks
in Embeddings & RetrievalFAQ
How much does Colqwen2.5 v0.2 cost?›
There is no per-unit API price: self-host only.
Is Colqwen2.5 v0.2 free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is Colqwen2.5 v0.2, and what is it best at?›
#27 of 89 in Multimodal.
Is Colqwen2.5 v0.2 better than Jina Embeddings v4?›
On ViDoRe v1&v2 · Mean over tasks · multilingual (4 languages), Colqwen2.5 v0.2 scores 81.1 vs 81.2 — about the same.
When was Colqwen2.5 v0.2 released? Is there a newer version?›
Released 2025-01-31. It is the current version in its line.
Is Colqwen2.5 v0.2 open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Colqwen2.5 v0.2 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Colqwen2.5 v0.2?›
Colqwen2.5 v0.2 is an open-weights embeddings & retrieval model from vidore, released Jan 2025.
What are the best alternatives to Colqwen2.5 v0.2?›
Argus Colqwen3.5 9B v0 (better).