Why high: an exact fingerprint shared with 8 models that declare the same family, without a second signal of a different kind yet.
Sao10K: Llama 3.1 Euryale 70B v2.2 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 | Counts every one of the 50 test strings exactly like 8 other models | tk_6588ed5b |
| How its API is set up | A combination of settings no other listing in the catalogue uses | api_daf2c53e |
| How much it can read and write | Reads up to 131,072 tokens at once, writes up to 16,384 | its own listing |
| Who served our requests | Novita, DeepInfra | we measured it, 21 August 2026 |
Click a row to open the full comparison.
We sent Sao10K: Llama 3.1 Euryale 70B v2.2 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: 10 prompt tokens.
Euryale L3.1 70B v2.2 is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.1](/models/sao10k/l3-euryale-70b).
Supported parameters
frequency_penaltylogit_biasmax_tokensmin_ppresence_penaltyrepetition_penaltyseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p
defaults: {}
