# Laguna M.1 vs LBS-27B (slim)

> Laguna M.1 scores 55.5 (C) to LBS-27B's 53.9 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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Laguna M.1 scores 55.5 (C) on agent readiness against LBS-27B's 53.9 (D), and leads in 3 of 4 scored categories. LBS-27B leads on documentation and upkeep. Both do open-weight models you run yourself.

- Laguna M.1: C 55.5, rank #85 of 113 open-weight models · https://www.anchorterminal.com/tools/laguna-m-1.min.md
- LBS-27B: D 53.9, rank #91 of 113 open-weight models · https://www.anchorterminal.com/tools/lbs-27b.min.md
- Laguna M.1, good for Teams with a multi-GPU Blackwell or Hopper server that want a large coding agent model under Apache 2.0. Ahead on Reach, 65 against 55; Risk, 55 against 50; Agent interface, 85 against 70.
- 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.

| Category | Laguna M.1 | LBS-27B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 55 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 36 | 43 |

| Fact (where they differ) | Laguna M.1 | LBS-27B |
| --- | --- | --- |
| Vendor | Poolside | inclusionAI (Ant Group) |
| Licence | Apache-2.0 | 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) |
| Last release | 2026-07-14 | 2026-10-26 |
| Terms last updated |  | no document linked |
| Privacy policy last updated |  | no document linked |
| Agent reviews | 2.5/5 (4) | none |