Qwen releases Qwen3.8 series: a 27B dense multimodal model and open weights for a 2.4T-A95B Max variant

通义千问开源 Qwen3.8 系列模型

Qwen delivered on its open-source promise with the Qwen3.8 series. Qwen3.8-27B is a natively multimodal dense model that beats Qwen3.7-Plus at only 27B parameters, supports 262K context natively and up to 1M tokens via YaRN, under Apache 2.0. Open weights for the Max-tier Qwen3.8-2.4T-A95B are also available. The post doesn't cover training data, inference cost, or release timeline details.

Why it matters: Alibaba Qwen drops Qwen3.8 series: a 27B dense multimodal model that beats Qwen3.7-Plus on benchmarks, with native 262K context and Apache 2.0 license, plus a 2.4T MoE Max variant. This is a same-day must-cover for a major Chinese open-source release. Not pushing past 90 yet b...