Sulat.com
AI models
$10 off the fastest DeepSeek V4.1 Flash, Kimi K3 and GLM 5.3 from Synthetic
Cohere logo

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 published the official launch announcement for North Mini Code, described as the debut model in the new North family and positioned as an agentic coding model aimed at developers. The page is hosted on Cohere's blog domain and attributed directly to Cohere, establishing primary creator attribution for the model The fetched excerpt is truncated by the site's cookie-consent banner, so headline-level details such as licensing, parameter counts, and benchmarks are not verifiable from the supplied text. As the primary creator source, this page anchors the model-family origin claim that the other technical candidates build on, but

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

Explainx.ai summarizes the North Mini Code launch with additional technical detail: a 30B MoE architecture with 3B active parameters, Apache 2.0 license, 256K total context with 64K maximum generation, and FP8 precision enabling operation on a single H100 GPU. The post notes the model is evaluated on SWE-Bench Verified The page also includes an appended update dated September 11, 2026 about a different sibling model, North Small Translate (218B MoE, CC BY-NC), which is out of scope for this subject. Some specific architectural claims such as 128 routing experts with 8 active per token and the 2.8x throughput figure are not corroborat

Cohere

CoverageAnalysis

Artificial Analysis published an independent editorial assessment of North Mini Code, reporting an Intelligence Index score of 27.6, a Coding Index score of 33.4, 14% on GDPval-AA, and 37% on τ²-Bench Telecom. The article benchmarks the model against named comparable open-weight models including gpt-oss-20B (high), Mis Pre-release speed testing on Cohere's API measured 199 output tokens per second, above several comparable open-weight models of similar intelligence and size. The model is confirmed as text-only with 30B total and 3B active parameters, open-sourced under the Apache 2.0 license, with the article dated June 9, 2026.

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

Videos about North Mini Code

More models around North Mini Code