# North Mini Code 1.0 vs Qwen3.5-2B (slim)

> North Mini Code 1.0 scores 61 (C) to Qwen3.5-2B's 50.5 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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- 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 Qwen3.5-2B's 50.5 (D), and leads in 3 of 4 scored categories. 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
- Qwen3.5-2B: D 50.5, rank #144 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-5-2b.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 Reach, 85 against 80; Risk, 60 against 55; Agent interface, 85 against 60.
- Qwen3.5-2B, good for Builders who want a cheap local helper or fine-tuning base for narrow tasks and image reading on a laptop, small GPU or CPU

| Category | North Mini Code 1.0 | Qwen3.5-2B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 80 |
| Risk (20%) | 60 | 55 |
| Agent interface (10%) | 85 | 60 |
| Documentation and upkeep (10%) | 36 | 37 |

| Fact (where they differ) | North Mini Code 1.0 | Qwen3.5-2B |
| --- | --- | --- |
| Vendor | Cohere | Alibaba (Qwen team) |
| Last release | 2026-07-29 | 2026-03-02 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Agent interface, North Mini Code 1.0 +25: North Mini Code 1.0 85 (Chat template 20, chat_template.jinja in the repository (12,397 characters).); Qwen3.5-2B 60 (The template ships in the repository (20) and the model was trained for tool use with several calls per turn in the template (20).)
- Reach, North Mini Code 1.0 +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.); Qwen3.5-2B 80 (Memory earns the full 30, since LM Studio's Q4_K_M GGUF with its vision projector is 1.94 GB, about 2.3 GB with the fifth added (Ollama's Q4_K_M build was 1.9 G…)
- 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.); Qwen3.5-2B 55 (Safetensors only with no remote code gives file safety its 25, and files in the Qwen organisation the publisher's GitHub links to, each with a hash on the Hub…)