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DeepSeek releases V4.1 Flash: 552B MoE with 1M context and MIT license

Model releases
Source:Hugging Face (DeepSeek)
DeepSeek V4.1 Flash pushes the MoE architecture further: 552B total parameters but only 8-16B active per Token, a 1M-Token Context Window, and an MIT license. A model built for online serving, but useful as a reference for learning to read model spec sheets.
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DeepSeek V4.1 Flash

Models

DeepSeek's MoE model with 552B total parameters and 8-16B active per token. 1M-token context, MIT license: free commercial use. Built for online serving, too large for local use on a single PC.

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inclusionAI Ling 3.1 Flash (MoE)

Models

Modello MoE open-weight di inclusionAI: 560B parametri totali, 25B attivi per token, architettura ibrida (attenzione lineare KDA + Gated MLA), finestra di contesto fino a 1M di token, licenza MIT. Reasoning ibrido con modalità di pensiero on/off. A 4 bit entra in 512GB di memoria unificata.

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Llama 4 Maverick (MoE)

Models

Il modello MoE grande della famiglia Llama 4 di Meta: 400B di parametri totali con 17B attivi (128 esperti). Contesto 1M di token, nativamente multimodale (testo+immagini), licenza comunitaria Meta. Richiede multi-GPU o macchine con memoria unificata 128GB+ anche quantizzato.

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Llama 4 Scout (MoE)

Models

The compact MoE of the Llama 4 family: 17B active parameters out of 109B total (16 experts). Meta's community license allows free use under 700 million monthly users. One of the best entry points into the Llama 4 family.

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