North Mini Code Cohere S Small Coding Focused Moe Model
Source
artificialanalysis.ai
Author
Artificial Analysis articles
Date
Why it matters
A small Apache-2.0 coding mixture-of-expertsA model built from many specialist sub-networks where only a few activate per token, giving big-model capability at small-model running cost.Full definition → that beats gpt-oss-20B and is fast, but weak on non-coding AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → tasks, with higher token use than peers. Fit it to coding-only workloads.
Key takeaways · AI-distilled
North Mini Code scores 33.4 on the Artificial Analysis Coding Index, well above GLM-4.7-Flash at 25.9 and slightly below Qwen3.6 35B A3B at 35.2 among open models in its size class.
Outside coding it is weak: 14% on GDPval-AA and 37% on tau-squared Bench Telecom, giving an Agentic Index score of 21.7.
It is a text-only 30B total, 3B active model under Apache 2.0, served at about 199 output tokenThe chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.Full definition → per second on Cohere's API, but it uses more output tokens on the index suite than most comparable models.
Terms in this piece · Glossary
token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
mixture-of-experts — A model built from many specialist sub-networks where only a few activate per token, giving big-model capability at small-model running cost.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
