Qwen3.8

Model · 27B / 2.4T · 95B active · open weights · 5 items since Aug 2026

Releases

Sep 18
Alibaba's Qwen3.8-Omni-Flash
Alibaba's first omni-modal model built for agentic use takes text, image, audio, and video with a 1M-token context, scores more than 25% above Qwen3.5-Omni-Plus across 29 benchmarks, and is API-only at $0.15/$0.47 per 1M tokens.
Aug 26
Alibaba's Qwen3.8-Flash-Next
An explicit Qwen4-architecture preview pairing 125B parameters with a 51B N-gram "engram" lookup table at only 6B active per token, released with open weights on Hugging Face and ModelScope and priced roughly a third below DeepSeek-V4-Flash.
Aug 15
Alibaba's Qwen3.8-27B ties GPT-5.6 Luna
The dense, natively multimodal 27B model (Apache 2.0, 262K context) that completes the Qwen3.8 open-weight rollout scored 52 on the Artificial Analysis Intelligence Index in independent testing, tying hosted GPT-5.6 Luna from a roughly 17GB file on one consumer GPU.
Aug 13
Alibaba releases Qwen3.8-2.4T-A95B open weights
Alibaba shipped the weights it promised the week before, its first Max-class open release: a 2.4T-parameter (95B active) MoE with a 256K native context extensible to about 1M, on Hugging Face and ModelScope alongside an FP8 build.
Aug 3
Alibaba's Qwen3.8-Max reaches general availability
The 2.4T-parameter (95B active) multimodal MoE with a 1M-token context went GA via API at $2/$6 per 1M tokens, and Alibaba committed to open weights for it and a smaller Qwen3.8-27B, its first open-weight Max-class model.