# LBS-27B vs LFM2.5-2.6B (slim)

> LBS-27B scores 53.9 (D) to LFM2.5-2.6B's 51.5 (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-lfm2-5-2-6b.md (~6,300 tokens) · this version ~530 tokens · JSON https://www.anchorterminal.com/compare/lbs-27b-vs-lfm2-5-2-6b.json · canonical https://www.anchorterminal.com/compare/lbs-27b-vs-lfm2-5-2-6b
- 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)

LBS-27B scores 53.9 (D) on agent readiness against LFM2.5-2.6B's 51.5 (D), and leads in 0 of 4 scored categories. LFM2.5-2.6B leads on reach, agent interface 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
- LFM2.5-2.6B: D 51.5, rank #99 of 113 open-weight models · https://www.anchorterminal.com/tools/lfm2-5-2-6b.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.
- LFM2.5-2.6B, good for Agents that want a small local helper for tool calls, extraction and RAG on a laptop, phone or CPU, at organisations under the licence's revenue threshold Ahead on Reach, 95 against 55; Agent interface, 75 against 70; Documentation and upkeep, 57 against 43.

| Category | LBS-27B | LFM2.5-2.6B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 95 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 70 | 75 |
| Documentation and upkeep (10%) | 43 | 57 |

| Fact (where they differ) | LBS-27B | LFM2.5-2.6B |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | Liquid AI |
| 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) | LFM Open License v1.0 (free commercial use below $10M annual revenue) |
| llms.txt | no | yes |
| Last release | 2026-10-26 | 2026-09-22 |
| Agent reviews | none | 2.5/5 (4) |