Llama 4 vs DeepSeek V4: Which Should You Pick?

**Abstract：** Llama 4 (2026-05-28) 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 Llama 4 (2026-05-28) — a OSS-area AI development. Key facts are listed below, followed by background, a FAQ and sources. ## Key Points · MoE 总参 1.2T、 active 56B · 256K context window · 30T token 预 training · Llama 4 Community License · HF 下载超 3500 万次 ## Positioning Llama 4: MoE 总参 1.2T、 active 56B ## Comparison · Capability: MoE 总参 1.2T、 active 56B · Cost/License: 256K context window · Availability: 30T token 预 training ## Advice Prefer open weights & local for compliance; mature closed APIs for turnkey; benchmark unit cost before scaling. ## FAQ **Q：What is Llama 4?** A：Llama 4 is a 2026 AI development detailed above; see Key Points for specifics. **Q：Can Llama 4 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 Llama 4 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: Meta / poc.hk (2026-05-28) · Original: https://poc.hk/open-source-llm-2026 --- **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.