Cohere is betting "sovereign AI" on developers — North Mini Code 1.0 is its first open-source model designed specifically for Coding Agents, with 30B total / 3B active parameters in a MoE layout, Apache 2.0 license, runnable locally on as little as 1× H100 FP8.

Model specs

  • 30B total / 3B active Mixture-of-Experts structure
  • 256K total context window, 64K max generation length
  • Training objectives: code generation, Agentic software engineering, Terminal tasks
  • Explicitly compatible with mainstream Agent Harnesses like OpenCode

Performance and throughput

  • Artificial Analysis Coding Index 33.4, ahead of peers at the same size among open-source models
  • In internal testing, output throughput is 2.8× higher than Devstral Small 2
  • Inter-token latency about 30% better than Devstral Small 2
  • Public comparisons available on SWE-Bench Verified / Pro and Terminal Bench v2 / Hard

Why this matters

30B total + 3B active + 256K context + Agentic training is becoming the "standard recipe" for Coding Agent models in the second half of 2026: large total parameters carry long-codebase semantics, small active parameters guard inference cost, long context lets the Agent scan the full repo, and specialized training patches up multi-step tool-use consistency. North Mini Code nails every one of these to the current open-source best.

What's even more important is the single-H100 deployability. For vendors that care about code security and don't want to be locked into any closed-source Coding Agent workflow, this is one of the few "runs locally AND is modifiable under Apache 2.0" options. The Hugging Face weights show that since early-access opened on June 5, the model has accumulated over a thousand downloads, with community reaction skewing positive.

Whether MoE routing efficiency and small-active-parameter stability hold up in real IDE and CI workflows for a few weeks of real work is the real test. Anthropic, OpenAI, and Google are all treating Coding Agents as the core scenario for the next stage of LLM deployment, and Cohere's entry into "open-source + small-active + sovereign" is a precise gap-fill for the open-source ecosystem — and a key step in regaining developer mindshare.