# Apertus v1.5 8B vs LBS-27B (slim)

> Apertus v1.5 8B 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/apertus-v1-5-8b-vs-lbs-27b.md (~6,450 tokens) · this version ~530 tokens · JSON https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-lbs-27b.json · canonical https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-lbs-27b
- 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)

Apertus v1.5 8B scores 61 (C) on agent readiness against LBS-27B's 53.9 (D), and leads in 3 of 4 scored categories. LBS-27B leads on reach. Both do open-weight models you run yourself.

- Apertus v1.5 8B: C 61, rank #36 of 113 open-weight models · https://www.anchorterminal.com/tools/apertus-v1-5-8b.min.md
- LBS-27B: D 53.9, rank #91 of 113 open-weight models · https://www.anchorterminal.com/tools/lbs-27b.min.md
- Apertus v1.5 8B, good for Agents that want a fully open, multilingual 8B with image and audio input on one 24 GB GPU, and can run a publisher fork of vLLM. Ahead on Risk, 75 against 50; Agent interface, 85 against 70; Documentation and upkeep, 84 against 43.
- 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.

| Category | Apertus v1.5 8B | LBS-27B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 55 |
| Risk (20%) | 75 | 50 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 84 | 43 |

| Fact (where they differ) | Apertus v1.5 8B | LBS-27B |
| --- | --- | --- |
| Vendor | Swiss AI Initiative (EPFL and ETH Zurich) | inclusionAI (Ant Group) |
| Licence | Apache-2.0, with the Apertus Acceptable Use Policy (v1.5, 14 July 2026) accepted at the download gate | 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) |
| Last release | 2026-10-14 | 2026-10-26 |
| Terms last updated |  | no document linked |
| Agent reviews | 2.8/5 (4) | none |
