North Mini Code 1.0
North Mini Code 1.0 is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.
Use it for
- Teams evaluating coding, rag, and agents
- Workloads that can use a 256k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Family
- North
- Released
- 2026-06-09
- Context
- 256k
- Max output
- 64,000
- Parameters
- 30B (MoE, 3B active)
- Architecture
- Decoder-only Transformer, sparse mixture-of-experts (128 experts, 8 active per token), interleaved sliding-window attention with RoPE and global attention in 3:1 ratio, SwiGLU FFN with sigmoid-gated routing
- Specialization
- code
- Openness
- Open source
- License
- Apache 2.0(OSI)Commercial use allowed
- Training
- Two-stage: cascaded supervised fine-tuning (SFT) followed by reinforcement learning with verifiable rewards (RLVR), focusing on agentic coding
Cheapest of 1 route · Cohere API
About
A 30B-parameter sparse mixture-of-experts (3B active parameters) code generation model from Cohere, released as open weights under Apache 2.0. Designed for agentic software engineering, code generation, and terminal-based tasks. Supports a 256K token context window with 64K maximum output length, interleaved thinking, and tool use via JSON schema chat templates. The inaugural model in Cohere's North family.
North Mini Code 1.0 is an open-source model in the North family. The structured metadata tracks a 256k-token context window, reasoning, function calling, tool use, and structured outputs. This page tracks provider routes through Cohere API. Headline tracked benchmarks include SWE-bench Verified 61.0.
Top use-case fit: coding, agents, and build tasks
Coding
1 relevant benchmark in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Agents
1 relevant benchmark in the decision map.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Cohere API | - | - | ServerlessPartial |
Available via routers & gateways(4)
Kong AI Gateway
GatewayMulti-LLM AI gateway built on Kong Gateway 3.x, adding semantic routing, load balancing, guardrails, and MCP traffic analytics as plugins over Kong's existing API management platform.
LiteLLM
GatewayOpen-source Python SDK and proxy server that unifies 100+ LLM APIs behind a single OpenAI-compatible interface, with load balancing, cost tracking, and configurable failover.
OpenRouter
HybridUnified hybrid gateway to 400+ models from 60+ providers via a single OpenAI-compatible API, with optional auto-routing that selects the best model per prompt.
Portkey
GatewayProduction AI gateway routing to 1,600+ LLMs with failover, load balancing, semantic caching, and guardrails; Apache 2.0 core is fully self-hostable with the complete feature set.
Capabilities
Benchmark peer barsfor Coding
Benchmark scores(1)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| SWE-bench Verified | 61.0 | Mini-SWE-Agent pass@1; Cohere self-reported | https://huggingface.co/blog/CohereLabs/introducing-north-mini-code |
Migration checks
No linked migration route is available for this model yet.
Cheapest of 1 route · Cohere API