# LBS-27B vs North Mini Code 1.0 (slim)

> North Mini Code 1.0 scores 61 (C) to LBS-27B's 55.8 (C) 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 LBS-27B's 55.8 (C), and leads in 3 of 4 scored categories. LBS-27B leads on documentation and upkeep. Both do open-weight models you run yourself.

- LBS-27B: C 55.8, rank #118 of 160 open-weight models · https://www.anchorterminal.com/tools/lbs-27b.min.md
- 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
- LBS-27B, good for Agents with about 96 GB of GPU memory that need to find click targets on dense professional screenshots, or read fine detail in large images, and can run a small crop loop and wait for independent results. Ahead on Documentation and upkeep, 43 against 36.
- 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 60; Risk, 60 against 50; Agent interface, 85 against 70.

| Category | LBS-27B | North Mini Code 1.0 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 85 |
| Risk (20%) | 50 | 60 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 43 | 36 |

| Fact (where they differ) | LBS-27B | North Mini Code 1.0 |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | Cohere |
| Licence | Apache-2.0 (the card's metadata and licence section; the LICENSE file sits in the GitHub repository inclusionAI/UI-Venus on its LBS branch, not in the Hugging Face repository) | Apache-2.0 |
| Last release | 2026-10-26 | 2026-07-29 |

Why the edge:
- Reach, North Mini Code 1.0 +25: LBS-27B 60 (Memory earns 10, since the only build is 54.73 GB of BF16, about 66 GB with a fifth added, which fits the reference machine but not 64 GB.); 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.)
- Agent interface, North Mini Code 1.0 +15: LBS-27B 70 (The chat template earns 20, Qwen's Jinja file in the repository.); North Mini Code 1.0 85 (Chat template 20, chat_template.jinja in the repository (12,397 characters).)
- Risk, North Mini Code 1.0 +10: LBS-27B 50 (File safety earns 15, safetensors only but with the documented route running the publisher's scripts to serve it and to write its system prompt.); North Mini Code 1.0 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)
- Documentation and upkeep, LBS-27B +7: LBS-27B 43 (The model card earns 8, with intended use, one limitation and parameters, and no architecture, context, languages or cut-off.); North Mini Code 1.0 36 (Model card 11, Intended use, the architecture, the parameters and the context are on the card.)