KURE Sparse Base measured on 4 of 194 Embeddings benchmarks4
BenchmarkByScoreRank
Retrieval1
Other3
No benchmark matches
price not verifiedprice
59.1RTEB French beta
Oct 2026released
8K tokensMax input
en, koLanguages
Alternatives?
ModelScoreCostPriceWhat changes
VBetterVoyage 4 Largeunstated+17%—$0.12Languages: not verifiedModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
VVoyage 4 Largeunstated+17%—$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 Sparse Base cost?›
There is no per-unit API price: price not verified.
How good is KURE Sparse Base, and what is it best at?›
#13 of 215 in Embeddings.
Is KURE Sparse Base better than Qwen 3 Embedding 8B?›
On RTEB French beta · Mean over tasks · multilingual (2 languages), KURE Sparse Base scores 59.1 vs 59.5 — about the same.
When was KURE Sparse Base released? Is there a newer version?›
Released 2026-10-12. It is the current version in its line.
Is KURE Sparse Base open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run KURE Sparse Base locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is KURE Sparse Base?›
KURE Sparse Base is an open-weights embeddings & retrieval model from nlpai-lab, released Oct 2026.
What are the best alternatives to KURE Sparse Base?›
Voyage 4 Large (better), Nemotron 3 Embed 8B BF16 (open weights).