KURE v3 measured on 4 of 194 Embeddings benchmarks4
BenchmarkByScoreRank
Retrieval1
Other3
No benchmark matches
price not verifiedprice
62.1RTEB French beta
Oct 2026released
8K tokensMax input
en, koLanguages
Alternatives?
ModelScoreCostPriceWhat changes
VBetterVoyage 4 Largeunstated+12%—$0.12Languages: not verifiedModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
VVoyage 4 Largeunstated+12%—$0.12Languages: not verifiedModelScoreCostPriceWhat changes
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 KURE v3 cost?›
There is no per-unit API price: price not verified.
How good is KURE v3, and what is it best at?›
#5 of 215 in Embeddings.
Is KURE v3 better than Octen Embedding 4B INT8?›
On RTEB French beta · Mean over tasks · multilingual (2 languages), KURE v3 scores 62.1 vs 64.2 — lower.
When was KURE v3 released? Is there a newer version?›
Released 2026-10-20. It is the current version in its line.
Is KURE v3 open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run KURE v3 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is KURE v3?›
KURE v3 is an open-weights embeddings & retrieval model from nlpai-lab, released Oct 2026.
What are the best alternatives to KURE v3?›
Voyage 4 Large (better), Nemotron 3 Embed 8B BF16 (open weights).