Deepset Mxbai Embed De Large v1 measured on 16 of 194 Embeddings benchmarks16
BenchmarkByScoreRank
No benchmark matches
price not verifiedprice
52MTEB English v2
Jul 2024released
1,024Dimensions
1K tokensMax input
en, deLanguages
Rankingconfiguration unstated?
Full ranking →···
21Multilingual E5 Large Instruct51.922Deepset Mxbai Embed De Large v151.923F2LLM v2 330M51.9Strong at
Alternatives?
ModelScoreCostPriceWhat changes
BetterNemotron 3 Embed 1B BF16Open+14%—$0.015Memory (4-bit): 0.3 GB → 0.7 GBmOpenMost Embed De+17%——Memory (4-bit): 0.3 GB → 0.7 GB
BetterJina Embeddings v5 Text NanounstatedOpen+11%—$0.02Languages: not verifiedBetterJina Embeddings v5 Text SmallunstatedOpen+10%—$0.05Languages: not verified+1BetterJina Embeddings v3unstatedOpen+6%—$0.05ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
Nemotron 3 Embed 1B BF16Open+14%—$0.015Memory (4-bit): 0.3 GB → 0.7 GBJina Embeddings v5 Text NanounstatedOpen+11%—$0.02Languages: not verifiedJina Embeddings v5 Text SmallunstatedOpen+10%—$0.05Languages: not verified+1Jina Embeddings v3unstatedOpen+6%—$0.05mMost Embed DeOpen+17%——Memory (4-bit): 0.3 GB → 0.7 GBModelScoreCostPriceWhat changes
mMost Embed DeOpen+17%——Memory (4-bit): 0.3 GB → 0.7 GBNemotron 3 Embed 1B BF16Open+14%—$0.015Memory (4-bit): 0.3 GB → 0.7 GBcF2LLM v2 8BunstatedOpen+14%——Memory (4-bit): 0.3 GB → 4.5 GBiInf Retriever v1unstatedOpen+13%——Memory (4-bit): 0.3 GB → 4.2 GBcF2LLM v2 4BunstatedOpen+12%——Memory (4-bit): 0.3 GB → 2.4 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
Benchmarks
in Embeddings & RetrievalFAQ
How much does Deepset Mxbai Embed De Large v1 cost?›
There is no per-unit API price: price not verified.
How good is Deepset Mxbai Embed De Large v1, and what is it best at?›
#90 of 200 in Embeddings.
Is Deepset Mxbai Embed De Large v1 better than Multilingual E5 Large Instruct?›
On MTEB German v1 · Retrieval · German, Deepset Mxbai Embed De Large v1 scores 51.9 vs 51.9 — about the same.
When was Deepset Mxbai Embed De Large v1 released? Is there a newer version?›
Released 2024-07-12. It is the current version in its line.
Is Deepset Mxbai Embed De Large v1 open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Deepset Mxbai Embed De Large v1 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Deepset Mxbai Embed De Large v1?›
Deepset Mxbai Embed De Large v1 is an open-weights embeddings & retrieval model from mixedbread-ai, released Jul 2024.
What are the best alternatives to Deepset Mxbai Embed De Large v1?›
Nemotron 3 Embed 1B BF16 (better), Most Embed De (open weights).