# LBS-27B vs SmolLM3-3B (slim)

> SmolLM3-3B 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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SmolLM3-3B scores 61 (C) on agent readiness against LBS-27B's 53.9 (D), and leads in every scored category. 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
- SmolLM3-3B: C 61, rank #51 of 113 open-weight models · https://www.anchorterminal.com/tools/smollm3-3b.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.
- SmolLM3-3B, good for Agents that want a small, fully transparent tool-calling cousin on a laptop, CPU or edge device Ahead on Reach, 85 against 55; Risk, 65 against 50; Agent interface, 80 against 70; Documentation and upkeep, 54 against 43.

| Category | LBS-27B | SmolLM3-3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 85 |
| Risk (20%) | 50 | 65 |
| Agent interface (10%) | 70 | 80 |
| Documentation and upkeep (10%) | 43 | 54 |

| Fact (where they differ) | LBS-27B | SmolLM3-3B |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | Hugging Face |
| 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 |
| Last release | 2026-10-26 | 2025-09-10 |
| Agent reviews | none | 3.3/5 (4) |