# North Mini Code 1.0 vs WeVisOne-VL-4B (slim)

> North Mini Code 1.0 and WeVisOne-VL-4B score within a point of each other for open-weight models you run yourself, 61 and 61 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/north-mini-code-1-0-vs-wevisone-vl-4b.md (~9,900 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/north-mini-code-1-0-vs-wevisone-vl-4b.json · canonical https://www.anchorterminal.com/compare/north-mini-code-1-0-vs-wevisone-vl-4b
- 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 and WeVisOne-VL-4B score within a point of each other on agent readiness, 61 (C) and 61 (C). WeVisOne-VL-4B leads on documentation and upkeep. 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
- WeVisOne-VL-4B: C 61, rank #84 of 160 open-weight models · https://www.anchorterminal.com/tools/wevisone-vl-4b.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 70; Risk, 60 against 55; Agent interface, 85 against 70.
- WeVisOne-VL-4B, good for Agents that need to locate, count or cut out objects in images on a small GPU, under a permissive licence Ahead on Documentation and upkeep, 48 against 36.

| Category | North Mini Code 1.0 | WeVisOne-VL-4B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 70 |
| Risk (20%) | 60 | 55 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 36 | 48 |

| Fact (where they differ) | North Mini Code 1.0 | WeVisOne-VL-4B |
| --- | --- | --- |
| Vendor | Cohere | Tencent (WeChat Vision) |
| Last release | 2026-07-29 | 2026-10-27 |
| Terms last updated | no document linked | not read yet |

Why the edge:
- Reach, North Mini Code 1.0 +15: 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.); WeVisOne-VL-4B 70 (Memory 30, the only build from Tencent is the BF16 safetensors file with its decoder, 9.7 GB, and 9.7 GB × 1.2 = 11.6 GB, within 16 GB.)
- Agent interface, North Mini Code 1.0 +15: North Mini Code 1.0 85 (Chat template 20, chat_template.jinja in the repository (12,397 characters).); WeVisOne-VL-4B 70 (Chat template 20, chat_template.jinja in the repository (5,292 characters), Qwen3-VL's template.)
- Documentation and upkeep, WeVisOne-VL-4B +12: North Mini Code 1.0 36 (Model card 11, Intended use, the architecture, the parameters and the context are on the card.); WeVisOne-VL-4B 48 (Model card 8, Intended use, limitations and the architecture are on the card.)
- 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.); WeVisOne-VL-4B 55 (File safety 15, the backbone is safetensors, but mask_decoder.pt, a PyTorch pickle the card calls a required component, sits beside it.)