# LBS-27B vs Swift 1.5 Qwen3.8-27B (slim)

> Swift 1.5 Qwen3.8-27B 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.

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Swift 1.5 Qwen3.8-27B scores 61 (C) on agent readiness against LBS-27B's 53.9 (D), and leads in 1 of 4 scored categories. LBS-27B leads on agent interface. 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
- Swift 1.5 Qwen3.8-27B: C 61, rank #53 of 113 open-weight models · https://www.anchorterminal.com/tools/swift-1-5-qwen3-8-27b.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 Agent interface, 70 against 60.
- Swift 1.5 Qwen3.8-27B, good for Agents on a 24 to 32 GB GPU or Mac that want Qwen3.8-27B's skills with shorter thinking, for teams under US$1M revenue or research. Ahead on Reach, 80 against 55.

| Category | LBS-27B | Swift 1.5 Qwen3.8-27B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 80 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 43 | 43 |

| Fact (where they differ) | LBS-27B | Swift 1.5 Qwen3.8-27B |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | UkisAI |
| 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) | Swift Open License v1.0 (custom, not an OSI licence) on UkisAI's changes, free for commercial use below US$1M gross annual revenue with a separate Swift Enterprise License above it. Built on Qwen3.8-27B, whose Apache 2.0 still governs the base |
| Last release | 2026-10-26 | 2026-09-24 |
| Terms last updated | no document linked |  |
| Agent reviews | none | 2.3/5 (4) |
