Articles tagged "Qwen 3.8"

Qwen3.8-Flash-Next needs roughly 75GB (1-bit) to 354GB (BF16) of memory depending on quantization. This 125B-total/6B-active open-weight MoE has been run on a single 24GB RTX 4090 via MoE expert offloading, while the official vLLM/SGLang FP8 recipe needs ~250GB across multiple datacenter GPUs. VRAM and GPU tables inside. Updated August 2026.

Qwen3.8-27B weights landed on August 15, 2026. This at-a-glance requirements guide maps VRAM needs to the actual published file sizes: Q4_K_M is 17.1GB and won't fit a 16GB GPU, making IQ4_XS (15.7GB) the practical floor. Licensed Apache-2.0 for commercial use.

Qwen3.8 Max: Alibaba's 2.4T sparse MoE, ~95B active/token. SWE-bench 87.3%. API from $2.00/$6.00/M tokens (in/out). Open weights promised. Updated Aug. 2026.