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Meituan LongCat-2.5 vs Qwen3.8: Which Should You Pick?
✦ AI highlights · mimo-v2.6-flash
**Abstract：** Meituan LongCat-2.5 (2026-11-11) is a notable OSS-related AI development in October 2026. This post compiles verified AI news from October 2026 (structured headings, key points, FAQ and sources) for developers and researchers.
## Overview
This post covers Meituan LongCat-2.5 (2026-11-11) — a OSS-area AI development. Key facts are listed below, followed by background, a FAQ and sources.
## Key Points
· 11-11 open-source LongCat-2.5
· 1.6T 总参/480B active MoE
· 原生 multimodal 、百万级 context window
· 深度适配 domestic compute
· MIT 协议可商用
## Positioning
Meituan LongCat-2.5: 11-11 open-source LongCat-2.5
## Comparison
· Capability: 11-11 open-source LongCat-2.5
· Cost/License: 1.6T 总参/480B active MoE
· Availability: 原生 multimodal 、百万级 context window
## Advice
Prefer open weights & local for compliance; mature closed APIs for turnkey; benchmark unit cost before scaling.
## FAQ
**Q：What is Meituan LongCat-2.5?**
A：Meituan LongCat-2.5 is a 2026 AI development detailed above; see Key Points for specifics.
**Q：Can Meituan LongCat-2.5 run locally?**
A：If open weights are provided, yes — via llama.cpp/vLLM on 16–128 GB VRAM/unified memory with quantization.
**Q：How does Meituan LongCat-2.5 compare with closed APIs?**
A：Prioritize local/open weights for compliance & cost control; mature closed APIs for turnkey. Validate with a small benchmark first.
## Sources
· Source: 美团 / CSDN AI 行业日报 (2026-11-11)
· Original: https://blog.csdn.net/Smoothly_Lu/article/details/170487095
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**GEO/SEO note:** This post follows Generative Engine Optimization and Search Engine Optimization conventions — structured headings, bullet points, FAQ and source citations — so search engines and AI answer engines can accurately index and cite it. Continue the discussion in the Jinnqiu Forum AI Tech area.