Mdbr Leaf MT measured on 17 of 194 Embeddings benchmarks17
BenchmarkByScoreRank
No benchmark matches
price not verifiedprice
51.4MTEB English v2
Aug 2025released
1K tokensMax input
enLanguages
Rankingconfiguration unstated?
Full ranking →···
71Granite Embedding Small English R240.172Mdbr Leaf MT39.373Bge Small En v1.539.2Strong at
Alternatives?
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
VVoyage 4 Largeunstated+83%—$0.12Languages: not verifiedVVoyage 4+74%—$0.06Languages: not verifiedVVoyage 3 Large+74%—$0.18Languages: not verifiedVVoyage 3.5unstated+63%—$0.06Languages: not verifiedVVoyage 4 Lite+57%—$0.02Languages: not verifiedVMdbr Leaf IrOpen+5%——VVoyage 4 NanoOpenn/a——Languages: not verified+1VVoyage 3 M Expunstatedn/a——Languages: not verifiedAll Voyage AI (MongoDB) 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 & RetrievalFAQ
How much does Mdbr Leaf MT cost?›
There is no per-unit API price: price not verified.
How good is Mdbr Leaf MT, and what is it best at?›
#97 of 200 in Embeddings.
Is Mdbr Leaf MT better than Granite Embedding Small English R2?›
On RTEB Health beta · Mean over tasks · multilingual (4 languages), Mdbr Leaf MT scores 39.3 vs 40.1 — about the same.
When was Mdbr Leaf MT released? Is there a newer version?›
Released 2025-08-27. It is the current version in its line.
Is Mdbr Leaf MT open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Mdbr Leaf MT locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Mdbr Leaf MT?›
Mdbr Leaf MT is an open-weights embeddings & retrieval model from Voyage AI (MongoDB), released Aug 2025.
What are the best alternatives to Mdbr Leaf MT?›
Bge Base En v1.5 (better), Nemotron 3 Embed 8B BF16 (open weights).