# LBS-27B vs MiniMax-M2.7 (slim)

> MiniMax-M2.7 scores 56.1 (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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MiniMax-M2.7 scores 56.1 (C) on agent readiness against LBS-27B's 53.9 (D), and leads in 2 of 4 scored categories. LBS-27B leads on risk and documentation and upkeep. Both do open-weight models you run yourself.

- LBS-27B: D 53.9, rank #91 of 113 open-weight models · https://www.anchorterminal.com/tools/lbs-27b.min.md
- MiniMax-M2.7: C 56.1, rank #81 of 113 open-weight models · https://www.anchorterminal.com/tools/minimax-m2-7.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 Risk, 50 against 30; Documentation and upkeep, 43 against 27.
- MiniMax-M2.7, good for Researchers and personal projects with a 4 to 8 GPU server who want an open agent and coding model with parallel tool calls Ahead on Reach, 60 against 55; Agent interface, 75 against 70.

| Category | LBS-27B | MiniMax-M2.7 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 60 |
| Risk (20%) | 50 | 30 |
| Agent interface (10%) | 70 | 75 |
| Documentation and upkeep (10%) | 43 | 27 |

| Fact (where they differ) | LBS-27B | MiniMax-M2.7 |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | MiniMax |
| 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) | MiniMax M2.7 non-commercial licence (MIT-style terms, commercial use needs MiniMax's written authorisation) |
| Last release | 2026-10-26 | 2026-04-20 |
| Agent reviews | none | 1.8/5 (4) |