# LBS-27B vs MiniMax-M2.5 (slim)

> MiniMax-M2.5 scores 57.5 (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.

- Full: https://www.anchorterminal.com/compare/lbs-27b-vs-minimax-m2-5.md (~6,350 tokens) · this version ~530 tokens · JSON https://www.anchorterminal.com/compare/lbs-27b-vs-minimax-m2-5.json · canonical https://www.anchorterminal.com/compare/lbs-27b-vs-minimax-m2-5
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-27
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

MiniMax-M2.5 scores 57.5 (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-M2.5: C 57.5, rank #76 of 113 open-weight models · https://www.anchorterminal.com/tools/minimax-m2-5.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 22.
- MiniMax-M2.5, good for Teams with a 4 to 8 GPU server who want an open agent and coding model with parallel tool calls and can live with its use policy Ahead on Reach, 65 against 55; Agent interface, 75 against 70.

| Category | LBS-27B | MiniMax-M2.5 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 65 |
| Risk (20%) | 50 | 30 |
| Agent interface (10%) | 70 | 75 |
| Documentation and upkeep (10%) | 43 | 22 |

| Fact (where they differ) | LBS-27B | MiniMax-M2.5 |
| --- | --- | --- |
| 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 Model License (model) and modified MIT (code) |
| Last release | 2026-10-26 | 2026-02-12 |
| Agent reviews | none | 1.8/5 (4) |