AI Desk · AI FingerprintingNew arrival
Why high: an exact fingerprint shared with 21 models that declare the same family, without a second signal of a different kind yet.
PrismML: Ternary Bonsai 2 27B is Prism Ml's model. Its measured tokenizer sits with the Qwen group, which is evidence that it builds on the Qwen tokenizer. Tokenizer reuse is normal engineering, open vocabularies travel between labs, and this says nothing against Prism Ml'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 21 other models | tk_181907f2 |
| How its API is set up | A combination of settings no other listing in the catalogue uses | api_7ea257fb |
| How much it can read and write | Reads up to 262,144 tokens at once, writes up to 32,768 | its own listing |
| Whether it thinks before answering | Reasons when asked to, at xhigh, medium, xhigh by default | its own listing |
| Who served our requests | Darkbloom | we measured it, 5 October 2026 |
Click a row to open the full comparison.
We sent PrismML: Ternary Bonsai 2 27B 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: 52 prompt tokens.
Bonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B. It supports coding, mathematics, tool calling, and image understanding with a 262K-token context window. Ternary compression shrinks...
Supported parameters
frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
defaults: {"temperature":1,"top_p":0.95,"top_k":20}
