# LBS-27B vs Qwopus3.8-27B-Flash-V2 (slim)

> Qwopus3.8-27B-Flash-V2 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-qwopus3-8-27b-flash-v2.md (~6,750 tokens) · this version ~530 tokens · JSON https://www.anchorterminal.com/compare/lbs-27b-vs-qwopus3-8-27b-flash-v2.json · canonical https://www.anchorterminal.com/compare/lbs-27b-vs-qwopus3-8-27b-flash-v2
- 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
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Qwopus3.8-27B-Flash-V2 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 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
- Qwopus3.8-27B-Flash-V2: C 61, rank #49 of 113 open-weight models · https://www.anchorterminal.com/tools/qwopus3-8-27b-flash-v2.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.
- Qwopus3.8-27B-Flash-V2, good for Hobbyist and research agents that want a faster-finishing Qwen3.8-27B for local coding loops on a 24 GB GPU. Ahead on Reach, 85 against 55; Documentation and upkeep, 56 against 43.

| Category | LBS-27B | Qwopus3.8-27B-Flash-V2 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 85 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 43 | 56 |

| Fact (where they differ) | LBS-27B | Qwopus3.8-27B-Flash-V2 |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | Jackrong |
| 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) | Apache-2.0 (metadata only, no LICENSE file); built on Qwen3.8-27B under Apache 2.0 |
| Last release | 2026-10-26 | 2026-09-21 |
| Agent reviews | none | 2.5/5 (4) |