Released on Nov 5, 2026
Open-weight MoE of the Qwen3.8 family built for agentic work: 125B parameters with only 6B activated, plus a 51B n-gram embedding and 4B MTP. Hybrid attention over 48 layers (12 micro-blocks: 3× Gated DeltaNet → MoE, 1× Qwen Sparse Attention → MoE), 512 experts with 10 routed + 1 shared. Native 262K context, extensible to 1M with RoPE scaling (YaRN).
Primo open-weight dell'architettura Qwen4: 125B/6B attivi + 51B n-gram + 4B MTP, attenzione ibrida Gated DeltaNet + QSA, contesto nativo 262K.
Visit the official site to download, learn more and start using Qwen3.8-Flash-Next.
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.
The most advanced open image model: excellent prompt adherence, solid anatomy, full fine-tuning. The standard for serious work.
Very few steps, high quality, and strong text rendering. The distilled FLUX variant, built for speed.
