# LBS-27B vs MiniMax-M3.1-Flash (slim)

> LBS-27B scores 53.9 (D) to MiniMax-M3.1-Flash's 50.5 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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LBS-27B scores 53.9 (D) on agent readiness against MiniMax-M3.1-Flash's 50.5 (D), and leads in 3 of 4 scored categories. 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-M3.1-Flash: D 50.5, rank #102 of 113 open-weight models · https://www.anchorterminal.com/tools/minimax-m3-1-flash.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 Reach, 55 against 40; Risk, 50 against 35.
- MiniMax-M3.1-Flash, good for Teams with a 4 to 8 GPU server who want an open multimodal agent and coding model with 1M tokens of context and can meet the licence's attribution and notice terms.

| Category | LBS-27B | MiniMax-M3.1-Flash |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 40 |
| Risk (20%) | 50 | 35 |
| Agent interface (10%) | 70 | 70 |
| Documentation and upkeep (10%) | 43 | 41 |

| Fact (where they differ) | LBS-27B | MiniMax-M3.1-Flash |
| --- | --- | --- |
| 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 Community License (custom; commercial use needs a "Built with MiniMax M3.1-Flash" line and a one-time notice to MiniMax, and MiniMax's written authorisation above $20M yearly revenue) |
| Last release | 2026-10-26 | 2026-10-23 |
| Agent reviews | none | 2.3/5 (4) |
