Multi Qa MiniLM L6 Cos v1 measured on 18 of 261 Embeddings benchmarks18
BenchmarkByScoreRank
Reranking10
Other8
No benchmark matches
price not verifiedprice
47MTEB English v2
Aug 2021released
384Dimensions
1K tokensMax input
enLanguages
Alternatives?
ModelScoreCostPriceWhat changes
iBetterE5 Base v2unstatedOpen+38%—$0.005Memory (4-bit): 0 GB → 0.1 GB
OpenNemotron 3 Embed 8B BF16×4.8——Memory (4-bit): 0 GB → 4.8 GB
BetterQwen 3 Embedding 8BunstatedOpen×4.1—$0.01Languages: not verified+1iBetterMultilingual E5 Large InstructunstatedOpen×3.2—$0.01Memory (4-bit): 0 GB → 0.3 GB
BetterBge M3unstatedOpen×3.1—$0.01Languages: not verified+1ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
iE5 Base v2unstatedOpen+38%—$0.005Memory (4-bit): 0 GB → 0.1 GBQwen 3 Embedding 8BunstatedOpen×4.1—$0.01Languages: not verified+1iMultilingual E5 Large InstructunstatedOpen×3.2—$0.01Memory (4-bit): 0 GB → 0.3 GBBge M3unstatedOpen×3.1—$0.01Languages: not verified+1iMultilingual E5 LargeunstatedOpen×2.7—$0.01Memory (4-bit): 0 GB → 0.3 GBModelScoreCostPriceWhat changes
Nemotron 3 Embed 8B BF16Open×4.8——Memory (4-bit): 0 GB → 4.8 GBHDinghy Law 8B v1Open×4.8——Memory (4-bit): 0 GB → 4.8 GBmMost Embed DeOpen×4.7——Memory (4-bit): 0 GB → 0.7 GBOOcten Embedding 8BOpen×4.6——Memory (4-bit): 0 GB → 4.5 GBlOcten Law 8B v1Open×4.6——Memory (4-bit): 0 GB → 4.5 GBModelScoreCostPriceWhat changes
sStatic Similarity Mrl Multilingual v1unstatedOpen×2.5——Max input: not verified+1sStatic Retrieval Mrl En v1unstatedOpen×2.4——Max input: not verifiedsParaphrase Multilingual Mpnet Base v2unstatedOpen+10%——Max input: 1K tokens → 0K tokens+1sLaBSEunstatedOpensame——Max input: 1K tokens → 0K tokens+1sParaphrase Multilingual MiniLM L12 v2unstatedOpen-18%——Max input: 1K tokens → 0K tokens+1sAll MiniLM L6 v2unstatedOpen-27%—$0.005Max input: 1K tokens → 0K tokenssAll Mpnet Base v2unstatedOpen-34%—$0.005Max input: 1K tokens → 0K tokens+1sAll MiniLM L12 v2unstatedOpen-54%—$0.005Max input: 1K tokens → 0K tokensAll sentence-transformers 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
Benchmarks
in Embeddings & RetrievalMTEB Dutch v1 · STS · Dutch57.6#99
FAQ
How much does Multi Qa MiniLM L6 Cos v1 cost?›
There is no per-unit API price: price not verified.
How good is Multi Qa MiniLM L6 Cos v1, and what is it best at?›
#98 of 223 in Embeddings.
Is Multi Qa MiniLM L6 Cos v1 better than Mxbai Embed Large v1?›
On RTEB German beta · Mean over tasks · German, Multi Qa MiniLM L6 Cos v1 scores 16.2 vs 16.4 — about the same.
When was Multi Qa MiniLM L6 Cos v1 released? Is there a newer version?›
Released 2021-08-30. It is the current version in its line.
Is Multi Qa MiniLM L6 Cos v1 open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Multi Qa MiniLM L6 Cos v1 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Multi Qa MiniLM L6 Cos v1?›
Multi Qa MiniLM L6 Cos v1 is an open-weights embeddings & retrieval model from sentence-transformers, released Aug 2021.
What are the best alternatives to Multi Qa MiniLM L6 Cos v1?›
E5 Base v2 (better), Nemotron 3 Embed 8B BF16 (open weights).