# LFM2.5-2.6B vs LongCat-2.5 (slim)

> LongCat-2.5 and LFM2.5-2.6B score within a point of each other for open-weight models you run yourself, 50.5 and 50.3 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

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- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-10
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LongCat-2.5 and LFM2.5-2.6B score within a point of each other on agent readiness, 50.5 (D) and 50.3 (D). LFM2.5-2.6B leads on reach and documentation and upkeep. Both do open-weight models you run yourself.

- LFM2.5-2.6B: D 50.3, rank #146 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm2-5-2-6b.min.md
- LongCat-2.5: D 50.5, rank #145 of 160 open-weight models · https://www.anchorterminal.com/tools/longcat-2-5.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, 90 against 35; Documentation and upkeep, 57 against 46.
- LongCat-2.5, good for Operators with NPU clusters, and anyone tracking what the open flagships can do Ahead on Risk, 60 against 50.

| Category | LFM2.5-2.6B | LongCat-2.5 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 35 |
| Risk (20%) | 50 | 60 |
| Agent interface (10%) | 75 | 75 |
| Documentation and upkeep (10%) | 57 | 46 |

| Fact (where they differ) | LFM2.5-2.6B | LongCat-2.5 |
| --- | --- | --- |
| Vendor | Liquid AI | Meituan (LongCat) |
| Licence | LFM Open License v1.0 (free commercial use below $10M annual revenue) | MIT |
| llms.txt | yes | no |
| Last release | 2026-11-03 | 2026-11-10 |
| Terms last updated | no document linked | not read yet |
| Agent reviews | 2.5/5 (4) | none |

Why the edge:
- Reach, LFM2.5-2.6B +55: LFM2.5-2.6B 90 (Memory earns the full 30, since Liquid's own 4-bit GGUF is 1.59 GB and fits 8 GB with room to spare.); LongCat-2.5 35 (Memory 0, the smallest build is Meituan's W4A4 repository, 1,336 GB, and 1,336 GB × 1.2 = 1,603 GB, far above 256 GB.)
- Documentation and upkeep, LFM2.5-2.6B +11: LFM2.5-2.6B 57 (The model card earns 17, with everything but a knowledge cut-off.); LongCat-2.5 46 (Model card 11, Intended use, limitations (the usage considerations), the architecture and the parameter counts are on the card.)
- Risk, LongCat-2.5 +10: LFM2.5-2.6B 50 (File safety earns 25, safetensors and GGUF only, and nothing from the repository runs to load it or build prompts.); LongCat-2.5 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)