Why high: an exact fingerprint shared with 1 model that declares the same family, without a second signal of a different kind yet.
Cohere: North Mini Code (free) is Cohere's model, and its measured tokenizer sits in Cohere's own signature group alongside its sibling models. No other maker's measured model shares it so far.
| We checked | What we found | Where it came from |
|---|---|---|
| How it counts tokens | Counts every one of the 50 test strings exactly like 1 other model | tk_caaaa531 |
| How its API is set up | A combination of settings no other listing in the catalogue uses | api_c5269bc3 |
| How much it can read and write | Reads up to 256,000 tokens at once, writes up to 64,000 | its own listing |
| Whether it thinks before answering | Reasons when asked to | its own listing |
| Who served our requests | Cohere | we measured it, 21 August 2026 |
Click a row to open the full comparison.
We sent Cohere: North Mini Code (free) 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: 0 prompt tokens.
North Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized...
Supported parameters
frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningseedstoptemperaturetool_choicetoolstop_ktop_p
defaults: {"temperature":null,"top_p":null,"top_k":null,"frequency_penalty":null,"presence_penalty":null,"repetition_penalty":null}
