KURE Sparse Nano measured on 4 of 194 Embeddings benchmarks4
BenchmarkByScoreRank
Retrieval1
Other3
No benchmark matches
price not verifiedprice
27.3RTEB French beta
Oct 2026released
8K tokensMax input
en, koLanguages
Alternatives?
ModelScoreCostPriceWhat changes
nBetterKURE v2Open+6%——nBetterKURE v3Open+5%——Memory (4-bit): 0.1 GB → 0.7 GBnBetterKURE Sparse BaseOpen+4%——Memory (4-bit): 0.1 GB → 0.4 GBsBetterComsat Embed Ko 8B PreviewOpen+3%——Memory (4-bit): 0.1 GB → 4.5 GB
OpenQwen 3 Embedding 8Bunstated+2%—$0.01Languages: not verified+1ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
nKURE v2Open+6%——nKURE v3Open+5%——Memory (4-bit): 0.1 GB → 0.7 GBnKURE Sparse BaseOpen+4%——Memory (4-bit): 0.1 GB → 0.4 GBsComsat Embed Ko 8B PreviewOpen+3%——Memory (4-bit): 0.1 GB → 4.5 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 KURE Sparse Nano cost?›
There is no per-unit API price: price not verified.
How good is KURE Sparse Nano, and what is it best at?›
#99 of 215 in Embeddings.
Is KURE Sparse Nano better than Qwen 3 Embedding 4B?›
On MTEB Korean v2 · Retrieval · multilingual (2 languages), KURE Sparse Nano scores 76.7 vs 77.1 — about the same.
When was KURE Sparse Nano released? Is there a newer version?›
Released 2026-10-12. It is the current version in its line.
Is KURE Sparse Nano open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run KURE Sparse Nano locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is KURE Sparse Nano?›
KURE Sparse Nano is an open-weights embeddings & retrieval model from nlpai-lab, released Oct 2026.
What are the best alternatives to KURE Sparse Nano?›
KURE v2 (better).