Alibaba just launched Qwen3.8-Flash, an open-weight multimodal MoE model with a 125B backbone that activates just 6B parameters per token. It handles 262K native context, previews the upcoming Qwen4 architecture, and cuts API input costs to $0.16 per million tokens while matching heavyweights in coding benchmarks. Weights are live on Hugging Face and ModelScope.
Alibaba just kicked off the public beta of QwenWork in China, an all-in-one workplace AI agent platform tying together desktop, cloud, and DingTalk. It packs autonomous agents, native multimodal generation, and instant web app creation, with access to the flagship Qwen3.8 Max model starting August 3. A standalone mobile app and international rollout are also on the roadmap.
Alibaba just launched Qwen3.8-Max, its most powerful flagship multimodal model featuring 2.4 trillion total parameters while activating just 95 billion via sparse MoE. It supports a 1M token context window and ranks second in Vision Arena. The model is accessible via API on Alibaba Cloud Model Studio, with weights releasing next week.
