# DeepSeek V4.1 Flash vs LBS-27B (slim)

> DeepSeek V4.1 Flash scores 59 (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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DeepSeek V4.1 Flash scores 59 (C) on agent readiness against LBS-27B's 53.9 (D), and leads in 2 of 4 scored categories. LBS-27B leads on reach. Both do open-weight models you run yourself.

- DeepSeek V4.1 Flash: C 59, rank #68 of 113 open-weight models · https://www.anchorterminal.com/tools/deepseek-v4-1-flash.min.md
- LBS-27B: D 53.9, rank #91 of 113 open-weight models · https://www.anchorterminal.com/tools/lbs-27b.min.md
- DeepSeek V4.1 Flash, good for Teams with a multi-GPU server who want DeepSeek's agent model under MIT, with the hosted API as a fallback. Ahead on Agent interface, 75 against 70; Documentation and upkeep, 48 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 50.

| Category | DeepSeek V4.1 Flash | LBS-27B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 55 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 75 | 70 |
| Documentation and upkeep (10%) | 48 | 43 |

| Fact (where they differ) | DeepSeek V4.1 Flash | LBS-27B |
| --- | --- | --- |
| Vendor | DeepSeek | inclusionAI (Ant Group) |
| Licence | MIT | 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 | 2026-10-17 | 2026-10-26 |
| Agent reviews | 2.8/5 (4) | none |