Static Retrieval Mrl En v1 measured on 16 of 261 Embeddings benchmarks16
BenchmarkByScoreRank
No benchmark matches
self-host onlyprice
35MTEB English v2
Oct 2024released
enLanguages
Rankingconfiguration unstated?
Full ranking →···
97Sentence Croissant Alpha v0.335.398Static Retrieval Mrl En v135.399Granite Embedding English R235.2Strong at
Alternatives?
ModelScoreCostPriceWhat changes
BetterQwen 3 Embedding 8BunstatedOpen+91%—$0.01Languages: not verified+1OOpenOcten Embedding 8B×2.2——Memory (4-bit): 0 GB → 4.5 GBiBetterMultilingual E5 Large InstructunstatedOpen+29%—$0.01Memory (4-bit): 0 GB → 0.3 GB
BetterBge M3unstatedOpen+27%—$0.01Languages: not verified+1iBetterMultilingual E5 LargeunstatedOpen+8%—$0.01Memory (4-bit): 0 GB → 0.3 GBModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
Qwen 3 Embedding 8BunstatedOpen+91%—$0.01Languages: not verified+1iMultilingual E5 Large InstructunstatedOpen+29%—$0.01Memory (4-bit): 0 GB → 0.3 GBBge M3unstatedOpen+27%—$0.01Languages: not verified+1iMultilingual E5 LargeunstatedOpen+8%—$0.01Memory (4-bit): 0 GB → 0.3 GB
Nemotron 3 Embed 1B BF16Open+74%—$0.015Memory (4-bit): 0 GB → 0.7 GBModelScoreCostPriceWhat changes
OOcten Embedding 8BOpen×2.2——Memory (4-bit): 0 GB → 4.5 GBlOcten Law 8B v1Open×2.2——Memory (4-bit): 0 GB → 4.5 GBOOcten Embedding 8B INT8Open×2.2——Memory (4-bit): 0 GB → 4.5 GBbMoD EmbeddingOpen×2.1——Memory (4-bit): 0 GB → 2.4 GBOOcten Embedding 4BOpen×2.1——Memory (4-bit): 0 GB → 2.4 GBModelScoreCostPriceWhat changes
sStatic Similarity Mrl Multilingual v1unstatedOpen-5%——Memory (4-bit): 0 GB → 0.1 GBsMulti Qa MiniLM L6 Cos v1unstatedOpen-18%——sParaphrase Multilingual Mpnet Base v2unstatedOpen-19%——Memory (4-bit): 0 GB → 0.2 GBsAll Mpnet Base v2unstatedOpen-20%—$0.005Memory (4-bit): 0 GB → 0.1 GBsAll MiniLM L6 v2unstatedOpen-21%—$0.005sLaBSEunstatedOpen-26%——Memory (4-bit): 0 GB → 0.3 GBsParaphrase Multilingual MiniLM L12 v2unstatedOpen-27%——Memory (4-bit): 0 GB → 0.1 GBsAll MiniLM L12 v2unstatedOpen-27%—$0.005All 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 & RetrievalBEIR · Mean over tasks · English34.1#159
BEIR · Retrieval · English34.1#159
FAQ
How much does Static Retrieval Mrl En v1 cost?›
There is no per-unit API price: self-host only.
Is Static Retrieval Mrl En v1 free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is Static Retrieval Mrl En v1, and what is it best at?›
#157 of 200 in Embeddings.
Is Static Retrieval Mrl En v1 better than Sentence Croissant Alpha v0.3?›
On RTEB Law beta · Mean over tasks · multilingual (4 languages), Static Retrieval Mrl En v1 scores 35.3 vs 35.3 — about the same.
When was Static Retrieval Mrl En v1 released? Is there a newer version?›
Released 2024-10-24. It is the current version in its line.
Is Static Retrieval Mrl En v1 open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Static Retrieval Mrl En v1 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Static Retrieval Mrl En v1?›
Static Retrieval Mrl En v1 is an open-weights embeddings & retrieval model from sentence-transformers, released Oct 2024.
What are the best alternatives to Static Retrieval Mrl En v1?›
Qwen 3 Embedding 8B (better), Octen Embedding 8B (open weights).