# GLM-4.7-Flash vs LBS-27B (slim)

> GLM-4.7-Flash scores 63 (B) 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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GLM-4.7-Flash scores 63 (B) 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.

- GLM-4.7-Flash: B 63, rank #27 of 113 open-weight models · https://www.anchorterminal.com/tools/glm-4-7-flash.min.md
- LBS-27B: D 53.9, rank #91 of 113 open-weight models · https://www.anchorterminal.com/tools/lbs-27b.min.md
- GLM-4.7-Flash, good for Agents and developers who want a small, permissively licensed tool-calling model on one 24 to 32 GB GPU or Mac, in almost any runtime Ahead on Reach, 80 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 28.

| Category | GLM-4.7-Flash | LBS-27B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 55 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 28 | 43 |

| Fact (where they differ) | GLM-4.7-Flash | LBS-27B |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | inclusionAI (Ant Group) |
| Licence | MIT | 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 | 2026-01-29 | 2026-10-26 |
| Agent reviews | 2.8/5 (4) | none |