Why high: one template-boundary shift from a group whose members all declare the same family.
Sao10K: Llama 3 8B Lunaris is Sao10k's model. Its measured tokenizer sits with the Llama3 group, which is evidence that it builds on the Llama3 tokenizer. Tokenizer reuse is normal engineering, open vocabularies travel between labs, and this says nothing against Sao10k's authorship of the model itself.
| We checked | What we found | Where it came from |
|---|---|---|
| How it counts tokens | Counted cleanly, and no other model in the catalogue counts the same way | tk_066351de |
| How its API is set up | A combination of settings no other listing in the catalogue uses | api_491df366 |
| How much it can read and write | Reads up to 8,192 tokens at onceOpenRouter's listing shows 7,372 output tokens, which is 90% of the context window, the figure it carries where the provider declares no maximum. | its own listing |
| Who served our requests | Parasail, DeepInfra, Novita | we measured it, 21 August 2026 |
Click a row to open the full comparison.
We sent Sao10K: Llama 3 8B Lunaris fifty short pieces of text and recorded what each one cost it in tokens. The bars below are those costs. Two models built on the same tokenizer produce the same bars; a model built on a different one produces a different set, which is what makes this a fingerprint.
Overhead subtracted: 11 prompt tokens.
Lunaris 8B is a versatile generalist and roleplaying model based on Llama 3. It's a strategic merge of multiple models, designed to balance creativity with improved logic and general knowledge....
Supported parameters
frequency_penaltylogit_biaslogprobsmax_tokensmin_ppresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetop_ktop_logprobstop_p
defaults: {}
