Multi Qa MiniLM L6 Cos v1 measured on 18 of 194 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+9%—$0.005Memory (4-bit): 0 GB → 0.1 GBcOpenF2LLM v2 8Bunstated+68%——Memory (4-bit): 0 GB → 4.5 GB
BetterBge Base En v1.5unstatedOpen+5%—$0.005Memory (4-bit): 0 GB → 0.1 GBtBetterGte BaseunstatedOpen+4%—$0.005Memory (4-bit): 0 GB → 0.1 GB
BetterQwen 3 Embedding 0.6BunstatedOpen+45%—$0.01Languages: not verified+1ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
iE5 Base v2unstatedOpen+9%—$0.005Memory (4-bit): 0 GB → 0.1 GBBge Base En v1.5unstatedOpen+5%—$0.005Memory (4-bit): 0 GB → 0.1 GBtGte BaseunstatedOpen+4%—$0.005Memory (4-bit): 0 GB → 0.1 GBQwen 3 Embedding 0.6BunstatedOpen+45%—$0.01Languages: not verified+1iMultilingual E5 Large InstructunstatedOpen+36%—$0.01Memory (4-bit): 0 GB → 0.3 GBModelScoreCostPriceWhat changes
cF2LLM v2 8BunstatedOpen+68%——Memory (4-bit): 0 GB → 4.5 GBcF2LLM v2 4BunstatedOpen+67%——Memory (4-bit): 0 GB → 2.4 GBcF2LLM v2 1.7BunstatedOpen+67%——Memory (4-bit): 0 GB → 1 GBcF2LLM v2 0.6BunstatedOpen+65%——Memory (4-bit): 0 GB → 0.4 GBcF2LLM v2 330MunstatedOpen+63%——Memory (4-bit): 0 GB → 0.2 GBModelScoreCostPriceWhat changes
sParaphrase Multilingual Mpnet Base v2unstatedOpen+27%——Max input: 1K tokens → 0K tokens+1sLaBSEunstatedOpen+25%——Max input: 1K tokens → 0K tokens+1sParaphrase Multilingual MiniLM L12 v2unstatedOpen+20%——Max input: 1K tokens → 0K tokens+1sStatic Similarity Mrl Multilingual v1unstatedOpen+13%——Max input: not verified+1sAll MiniLM L6 v2unstatedOpensame—$0.005Max input: 1K tokens → 0K tokenssStatic Retrieval Mrl En v1unstatedOpenn/a——Max input: not verifiedsSentence T5 XlunstatedOpenn/a——Max input: 1K tokens → 0K tokens+1sSentence T5 XxlunstatedOpenn/a——Max input: 1K tokens → 0K tokens+1All 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 Granite Embedding 125M English?›
On MTEB French v1 · Classification · French, Multi Qa MiniLM L6 Cos v1 scores 51 vs 51.4 — 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), F2LLM v2 8B (open weights).