# LBS-27B vs Ornith-1.5-9B (slim)

> Ornith-1.5-9B scores 61 (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-ornith-1-5-9b.md (~6,400 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/lbs-27b-vs-ornith-1-5-9b.json · canonical https://www.anchorterminal.com/compare/lbs-27b-vs-ornith-1-5-9b
- 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)

Ornith-1.5-9B scores 61 (C) on agent readiness against LBS-27B's 53.9 (D), and leads in 2 of 4 scored categories. LBS-27B leads on 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
- Ornith-1.5-9B: C 61, rank #47 of 113 open-weight models · https://www.anchorterminal.com/tools/ornith-1-5-9b.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 Documentation and upkeep, 43 against 31.
- Ornith-1.5-9B, good for Local coding and terminal agents on a laptop or a single consumer GPU, where a clear licence file and an answering publisher aren't required Ahead on Reach, 95 against 55; Agent interface, 85 against 70.

| Category | LBS-27B | Ornith-1.5-9B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 95 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 43 | 31 |

| Fact (where they differ) | LBS-27B | Ornith-1.5-9B |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | Ornith |
| 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) | MIT |
| Last release | 2026-10-26 | 2026-08-23 |
| Agent reviews | none | 2.3/5 (4) |