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Model details

Cohere: North Mini Code (free)

North Mini Code marks the debut release of Cohere's North family and represents the company's first agentic coding model. It is built as a sparse mixture-of-experts architecture with 30 billion total parameters but only 3 billion active per inference, an efficiency-oriented design that targets high performance while keeping compute requirements modest. Cohere developed and optimized it specifically for software engineering tasks, framing it as a foundation for handling complex developer workflows and large codebases in agentic settings.

With its expansive context window, North Mini Code is well suited to multi-file refactors, repository-scale reasoning, and long-running agentic coding sessions that need to keep large amounts of source in view at once. The sparse-MoE design suggests a balance between capability and inference cost, making it attractive for coding assistants that must sustain many turns without ballooning latency or spend. It is positioned as a practical fit for developers looking for a Cohere-built coding model that can power autonomous tooling pipelines and interactive IDE-style assistants.

Kilo Gatewaycohere/north-mini-code:freenorth

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Provider
Kilo Gateway
Model key
cohere/north-mini-code:free
Release date
Jun 17, 2026
Last updated
Jun 17, 2026
Input modalities
Output modalities
Capabilities

Cost

A provider subscription or plan supersedes token-based pricing for this model.

Limits

Output tokens
64,000 tokens
Context window
256,000 tokens

Latest news about Cohere: North Mini Code (free)

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Coverage

Codersera's technical guide describes Cohere North Mini Code 1.0 as a 30-billion-parameter open-weight coding model released by Cohere in June 2026 under the Apache 2.0 license, positioned as the company's first fully open-source model aimed at developers. It uses a sparse Mixture-of-Experts design with 128 experts and The same write-up specifies a 256K-token input context window and up to 64K output tokens, notes the model can run on a single H100 in FP8, and lists availability on Hugging Face and Cohere's Chat V2 API. Architecturally, it documents a decoder-only Transformer with SwiGLU feed-forward blocks and a sigmoid router, atte

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