# North Mini Code 1.0 vs Qwen3-4B-Instruct-2507 (slim)

> North Mini Code 1.0 scores 61 (C) to Qwen3-4B-Instruct-2507's 54.5 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/north-mini-code-1-0-vs-qwen3-4b-instruct-2507.md (~10,400 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/north-mini-code-1-0-vs-qwen3-4b-instruct-2507.json · canonical https://www.anchorterminal.com/compare/north-mini-code-1-0-vs-qwen3-4b-instruct-2507
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-10
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North Mini Code 1.0 scores 61 (C) on agent readiness against Qwen3-4B-Instruct-2507's 54.5 (C), and leads in 3 of 4 scored categories. Qwen3-4B-Instruct-2507 leads on reach. Both do open-weight models you run yourself.

- North Mini Code 1.0: C 61, rank #80 of 160 open-weight models · https://www.anchorterminal.com/tools/north-mini-code-1-0.min.md
- Qwen3-4B-Instruct-2507: C 54.5, rank #130 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-4b-instruct-2507.min.md
- North Mini Code 1.0, good for Developers who want a coding agent on their own GPU with a permissive licence Ahead on Risk, 60 against 55; Agent interface, 85 against 75; Documentation and upkeep, 36 against 26.
- Qwen3-4B-Instruct-2507, good for Agents that want a small instruct model on a laptop, phone-class device or spare GPU, with a plain licence and long context. Ahead on Reach, 90 against 85.

| Category | North Mini Code 1.0 | Qwen3-4B-Instruct-2507 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 90 |
| Risk (20%) | 60 | 55 |
| Agent interface (10%) | 85 | 75 |
| Documentation and upkeep (10%) | 36 | 26 |

| Fact (where they differ) | North Mini Code 1.0 | Qwen3-4B-Instruct-2507 |
| --- | --- | --- |
| Vendor | Cohere | Alibaba (Qwen team) |
| Last release | 2026-07-29 | 2025-09-17 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Agent interface, North Mini Code 1.0 +10: North Mini Code 1.0 85 (Chat template 20, chat_template.jinja in the repository (12,397 characters).); Qwen3-4B-Instruct-2507 75 (Chat template 20, a Jinja template in tokenizer_config.json.)
- Documentation and upkeep, North Mini Code 1.0 +10: North Mini Code 1.0 36 (Model card 11, Intended use, the architecture, the parameters and the context are on the card.); Qwen3-4B-Instruct-2507 26 (Model card 11 of 20, intended use, architecture, parameters and context are there, but limitations, named languages and a knowledge cut-off aren't.)
- Reach, Qwen3-4B-Instruct-2507 +5: North Mini Code 1.0 85 (Memory 25, the smallest build from Cohere is the w4a16 repository, 19.38 GB, and 19.38 GB × 1.2 = 23.3 GB, within 24 GB.); Qwen3-4B-Instruct-2507 90 (Memory 30, LM Studio's and Ollama's 4-bit builds are 2.3 to 2.5 GB, about 3 GB with a fifth added, inside 16 GB.)
- Risk, North Mini Code 1.0 +5: North Mini Code 1.0 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.); Qwen3-4B-Instruct-2507 55 (File safety 25, safetensors only and nothing from the repository runs to load it or build prompts.)