Dinghy Law 0.6B v1 measured on 14 of 261 Embeddings benchmarks14
BenchmarkByScoreRank
Reranking9
Other5
No benchmark matches
self-host onlyprice
58.5RTEB German beta
Jul 2026released
8K tokensMax input
en, de, zhLanguages
Alternatives?
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat 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 & RetrievalMTEB Dutch v1 · STS · Dutch77.3#42
FAQ
How much does Dinghy Law 0.6B v1 cost?›
There is no per-unit API price: self-host only.
Is Dinghy Law 0.6B v1 free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is Dinghy Law 0.6B v1, and what is it best at?›
#41 of 206 in Embeddings.
Is Dinghy Law 0.6B v1 better than Multilingual E5 Large?›
On MTEB Dutch v1 · Mean over task types · Dutch, Dinghy Law 0.6B v1 scores 62.1 vs 62.2 — about the same.
When was Dinghy Law 0.6B v1 released? Is there a newer version?›
Released 2026-07-13. It is the current version in its line.
Is Dinghy Law 0.6B v1 open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Dinghy Law 0.6B v1 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Dinghy Law 0.6B v1?›
Dinghy Law 0.6B v1 is an open-weights embeddings & retrieval model from Hanno-Labs, released Jul 2026.
What are the best alternatives to Dinghy Law 0.6B v1?›
Qwen 3 Embedding 8B (better), Llama Embed Nemotron 8B (open weights).