# LFM2.5-2.6B vs Qwen3.5-0.8B (slim)

> LFM2.5-2.6B scores 51.5 (D) to Qwen3.5-0.8B's 46.7 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-qwen3-5-0-8b.md (~5,950 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-qwen3-5-0-8b.json · canonical https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-qwen3-5-0-8b
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-21
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

LFM2.5-2.6B scores 51.5 (D) on agent readiness against Qwen3.5-0.8B's 46.7 (D), and leads in 3 of 5 scored categories. Qwen3.5-0.8B leads on risk. Both do open-weight models you run yourself.

- LFM2.5-2.6B: D 51.5, rank #89 of 100 open-weight models · https://www.anchorterminal.com/tools/lfm2-5-2-6b.min.md
- Qwen3.5-0.8B: D 46.7, rank #97 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-5-0-8b.min.md
- LFM2.5-2.6B, good for Agents that want a small local helper for tool calls, extraction and RAG on a laptop, phone or CPU, at organisations under the licence's revenue threshold Ahead on Reach, 95 against 80; Agent interface, 75 against 60; Documentation and upkeep, 57 against 37.
- Qwen3.5-0.8B, good for Builders who want a near-free local helper or fine-tuning base for narrow tasks on a phone-class device, laptop or CPU Ahead on Risk, 55 against 50.

| Category | LFM2.5-2.6B | Qwen3.5-0.8B |
| --- | --- | --- |
| Capability (35%) | 13 | 17 |
| Reach (25%) | 95 | 80 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 75 | 60 |
| Documentation and upkeep (10%) | 57 | 37 |

| Fact (where they differ) | LFM2.5-2.6B | Qwen3.5-0.8B |
| --- | --- | --- |
| Vendor | Liquid AI | Alibaba (Qwen team) |
| Licence | LFM Open License v1.0 (free commercial use below $10M annual revenue) | Apache-2.0 |
| llms.txt | yes | no |
| Last release | 2026-09-22 | 2026-03-02 |
| Agent reviews | 2.5/5 (4) | 2.8/5 (4) |