# North Mini Code

Model tracker · checked 2026-11-02 · https://dbggr.dev/models/north-mini-code/

Open-weight 30B MoE model (3B active) for agentic coding and terminal tasks

North Mini Code is a fast open-weight model from Cohere, released 9 June 2026. It's free at Cohere, with a 256K-token context window.

- Made by: Cohere
- Released: 2026-06-09
- Status: Generally available
- Tier: Fast
- Weights: Open
- Memory to run: About 74 GB (BF16)
- Context window: 256,000 tokens
- Max output: 64,000 tokens
- Input: text
- API id: north-mini-code-1.0
- Docs: https://docs.cohere.com/docs/north-mini-code-1.0

## North Mini Code price at Cohere

US dollars per million tokens. Blended is 3 input tokens for every output token, one number to compare on.

| Provider | Input | Output | Cached input | Blended | Batch | Checked |
|---|---|---|---|---|---|---|
| Cohere | Free | Free | – | Free | – | [2026-11-02](https://cohere.com/pricing) |

- Cohere: Cohere lists North Mini Code as Free: trial and production keys are free until rate limits are reached. Cohere describes it as an open-weights research release, offered on its API for evaluation; it can also be deployed in production through Cohere's Model Vault (billed per instance; no North Mini Code rate listed). No cached-input or batch price.

## North Mini Code benchmarks

| Benchmark | Score | What it measures | Reported by |
|---|---|---|---|
| SWE-bench Verified | 67.6% | real GitHub issues fixed | [Cohere](https://huggingface.co/CohereLabs/North-Mini-Code-1.0) |

Scores reported by a model's maker aren't independently checked.

## Can you run North Mini Code yourself?

Yes. Cohere publishes the weights on Hugging Face as [CohereLabs/North-Mini-Code-1.0](https://huggingface.co/CohereLabs/North-Mini-Code-1.0), under Apache 2.0: 30B (MoE, 3B active) parameters, 61 GB in BF16.

Running it takes about 74 GB of GPU memory: one 80 GB data-centre GPU, or a Mac with comfortably more unified memory than that. That's the weight files plus 20% for working memory with short inputs; long contexts need more, and fitting in memory doesn't make it fast.

Cohere also publishes a smaller FP8 version, [CohereLabs/North-Mini-Code-1.0-fp8](https://huggingface.co/CohereLabs/North-Mini-Code-1.0-fp8), at 32 GB: about 39 GB to run, so one 80 GB data-centre GPU, or a Mac with comfortably more unified memory than that.

## Models like North Mini Code

| Model | Input | Output | Context | Weights |
|---|---|---|---|---|
| North Mini Code | Free | Free | 256K | Open |
| [gpt-oss-20b](https://dbggr.dev/models/gpt-oss-20b/) | $0.03 | $0.14 | 131K | Open |
| [gpt-oss-120b](https://dbggr.dev/models/gpt-oss-120b/) | $0.037 | $0.17 | 131K | Open |
| [NVIDIA Nemotron 3.5 Lightning 30B A3B](https://dbggr.dev/models/nvidia-nemotron-3-5-lightning-30b-a3b/) | $0.06 | $0.16 | 262K | Open |
| [Ministral 3 3B](https://dbggr.dev/models/ministral-3-3b/) | $0.10 | $0.10 | 256K | Open |
| [LFM3-1.7B](https://dbggr.dev/models/lfm3-1-7b/) | $0.08 | $0.20 | 262K | Open |

## FAQ

### How much does North Mini Code cost?

North Mini Code is listed as free at Cohere. Prices are list prices in US dollars, last checked 2 November 2026.

### What is North Mini Code's context window?

North Mini Code takes up to 256,000 tokens in one request and writes up to 64,000 tokens in one response.

### Is North Mini Code open weight?

Yes. Cohere publishes the weights, so you can run North Mini Code yourself or at any host that serves it.

### Can I run North Mini Code locally?

North Mini Code's weights are 61 GB in BF16, so it needs about 74 GB of GPU memory: one 80 GB data-centre GPU, or a Mac with comfortably more unified memory than that. Cohere also publishes a FP8 version that needs about 39 GB.

### Is North Mini Code free?

At Cohere, trial and production keys are free up to their rate limits.

### Where can I use North Mini Code?

North Mini Code is available from Cohere. At Cohere, call it as `north-mini-code-1.0`.