# LBS-27B vs MiMo-V2.6 Distill Qwen 9B (slim)

> MiMo-V2.6 Distill Qwen 9B 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-mimo-v2-6-distill-qwen-9b.md (~6,850 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/lbs-27b-vs-mimo-v2-6-distill-qwen-9b.json · canonical https://www.anchorterminal.com/compare/lbs-27b-vs-mimo-v2-6-distill-qwen-9b
- 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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MiMo-V2.6 Distill Qwen 9B scores 61 (C) on agent readiness against LBS-27B's 53.9 (D), and leads in 2 of 4 scored categories. 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
- MiMo-V2.6 Distill Qwen 9B: C 61, rank #43 of 113 open-weight models · https://www.anchorterminal.com/tools/mimo-v2-6-distill-qwen-9b.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.
- MiMo-V2.6 Distill Qwen 9B, good for Researchers and agents that want a small coding and terminal-agent model to fine-tune further, on a 24 GB GPU or larger. Ahead on Reach, 70 against 55; Risk, 60 against 50.

| Category | LBS-27B | MiMo-V2.6 Distill Qwen 9B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 70 |
| Risk (20%) | 50 | 60 |
| Agent interface (10%) | 70 | 70 |
| Documentation and upkeep (10%) | 43 | 40 |

| Fact (where they differ) | LBS-27B | MiMo-V2.6 Distill Qwen 9B |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | Xiaomi (MiMo team) |
| 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) | MIT (metadata only, no LICENSE file); built on Qwen3.5-9B under Apache 2.0 |
| Last release | 2026-10-26 | 2026-09-21 |
| Agent reviews | none | 2.3/5 (4) |