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Model details

North Mini Code

North Mini Code marks the debut of the North family and is positioned as a purpose-built agentic coding model rather than a general-purpose chat system. It is a sparse mixture-of-experts design with 30B total parameters but only 3B active at inference, a footprint small enough to keep generation latency low while still supporting the longer reasoning traces that code agents tend to produce. The model is trained to generalize across common agent harnesses such as OpenCode and SWE-Agent, and it handles interleaved reasoning and tool use through JSON-schema calls, making it straightforward to drop into multi-step software engineering pipelines that mix planning, file edits, and terminal commands.

Because the active parameter count is modest, the model is well suited to local and edge deployment, and community testing has already shown it running on consumer Apple silicon such as a 32GB M1 Pro, where output quality held up but prefill speed became the practical bottleneck. Its open-weight Apache 2.0 release, with checkpoints published on Hugging Face, gives developers room to fine-tune for proprietary codebases or specialized terminal workflows, and the sparse routing keeps per-token compute low enough to support responsive interactive use. Practically, it fits teams that want a lightweight, locally controllable coding agent for tasks like repository navigation, scripted refactors, and shell-driven automation, rather than users looking for a broad conversational assistant.

Coherenorth-mini-code-1-0north

Quick Info

Powered by
Provider
Cohere
Model key
north-mini-code-1-0
Release date
Jun 9, 2026
Last updated
Jun 9, 2026
Knowledge cutoff
2025-09-23
AI SDK package
@ai-sdk/openai-compatible
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 North Mini Code

Cohere

Official sourceAnnouncement

Cohere announced North Mini Code on June 9, 2026 via its official blog, introducing the model as an agentic coding system within the North family. The page confirms the exact model name "North Mini Code" and positions it for developer-facing coding workflows, with site navigation grouping it under the North line alongs The blog establishes North Mini Code as a Cohere-authored addition to its enterprise and developer model portfolio, distinct from the broader Command and parsing offerings. It is the originating announcement for the model, making it the primary source for any coverage of the release date, exact model identity, and Cohe

Cohere

CoverageBenchmark

Petronella Technology Group published a June 20, 2026 blog post explicitly naming Cohere North Mini Code and benchmarking it on a private test harness built around the firm's own engineering work. The piece positions the model as an open-weight coding option suitable for regulated environments handling Controlled Uncla While the post is promotional toward the vendor's hardware and AI deployment services, it does explicitly identify North Mini Code by name and confirms the model's relevance to on-premise, compliance-sensitive coding workflows. Concrete benchmark numbers from Petronella's private harness are not present in the supplied

Cohere

Coverage

An explainx.ai post dated June 10, 2026 explicitly names Cohere North Mini Code and frames it as Cohere's first open-source agentic coding model under Apache 2.0, using a 30B-total / 3B-active mixture-of-experts architecture with a 256K-token context window and 64K maximum generation. It recommends FP8 precision and li The post emphasizes sovereign and on-premises deployment for developers, contrasting North Mini Code with closed-API competitors like GPT-5.5, Claude Fable 5, and Gemini 3.5, and positioning it against other open alternatives such as DeepSeek V4 Pro, Qwen, and Llama 4. Because this is a secondary, marketing-adjacent so

Cohere

CoverageAnalysis

Artificial Analysis published an independent technical assessment on June 9, 2026 explicitly naming Cohere's North Mini Code as a small 30B-total / 3B-active open-weights mixture-of-experts coding model under Apache 2.0. The article reports an Artificial Analysis Intelligence Index score of 27.6, placing it above gpt-o The piece further documents that on Cohere's API, North Mini Code ran at approximately 199 output tokens per second in pre-release speed testing, faster than several comparable open-weights peers in its intelligence and size class. Model identity, parameter counts, license, and text-only modality are directly supported

Cohere

CoverageBenchmark

The Artificial Analysis model dashboard for North Mini Code confirms it is a Cohere open-weights model released June 2026, with text input/output, a 256K-token context window, 30B total parameters, 3B active parameters, and Apache 2.0 licensing. The page lists a reasoning version specifically and notes model weights ar Pricing is listed as $0.00 per 1M input and output tokens because the model is open-weights and self-hosted, not because Cohere offers free inference. The dashboard provides direct verification of North Mini Code's exact architecture, context length, license, and modality, anchoring the model identity against other sou

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