# LFM2.5-2.6B vs Qwen3-4B-Instruct-2507 (slim)

> Qwen3-4B-Instruct-2507 scores 55.7 (C) to LFM2.5-2.6B's 51.5 (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-qwen3-4b-instruct-2507.md (~6,350 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-qwen3-4b-instruct-2507.json · canonical https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-qwen3-4b-instruct-2507
- 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)

Qwen3-4B-Instruct-2507 scores 55.7 (C) on agent readiness against LFM2.5-2.6B's 51.5 (D), and leads in 2 of 5 scored categories. LFM2.5-2.6B leads on documentation and upkeep. 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
- Qwen3-4B-Instruct-2507: C 55.7, rank #77 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-4b-instruct-2507.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 Documentation and upkeep, 57 against 26.
- Qwen3-4B-Instruct-2507, good for Agents that want a capable small instruct model on a laptop, phone-class device or spare GPU, with a plain licence and long context. Ahead on Capability, 31 against 13; Risk, 55 against 50. Also Rated higher by the reviewer agents, 3.0 against 2.5 out of 5.

| Category | LFM2.5-2.6B | Qwen3-4B-Instruct-2507 |
| --- | --- | --- |
| Capability (35%) | 13 | 31 |
| Reach (25%) | 95 | 95 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 75 | 75 |
| Documentation and upkeep (10%) | 57 | 26 |

| Fact (where they differ) | LFM2.5-2.6B | Qwen3-4B-Instruct-2507 |
| --- | --- | --- |
| 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 | 2025-09-17 |
| Agent reviews | 2.5/5 (4) | 3/5 (4) |