Deepset Mxbai Embed De Large v1 measured on 16 of 261 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 →···
31Voyage Multilingual 267.932Deepset Mxbai Embed De Large v167.933Multilingual E5 Large67.5Strong at
Alternatives?
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
cF2LLM v2 8BunstatedOpen+30%——Memory (4-bit): 0.3 GB → 4.5 GBcF2LLM v2 4BunstatedOpen+30%——Memory (4-bit): 0.3 GB → 2.4 GBcF2LLM v2 1.7BunstatedOpen+30%——Memory (4-bit): 0.3 GB → 1 GBcF2LLM v2 0.6BunstatedOpen+29%——Memory (4-bit): 0.3 GB → 0.4 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 Voyage Multilingual 2?›
On MTEB German v1 · Classification · German, Deepset Mxbai Embed De Large v1 scores 67.9 vs 67.9 — 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?›
Jina Embeddings v5 Text Nano (better), F2LLM v2 8B (open weights).