Alibaba’s Qwen launches Qwen3.8-Flash AI model with lower training costs

Qwen3.8-Flash Multimodal MoE Cost-Efficient Model Released With Open Weights; Check Details | 📲 LatestLY

Alibaba Qwen has released Qwen3.8-Flash, a multimodal MoE model and early Qwen4 architecture preview. With 125B parameters plus 51B N-gram embeddings and only 6B active per token, it offers strong coding and office performance at roughly one-ninth the training cost of Qwen3.7-Plus. Open weights are available now; the production API arrives soon at low token prices. 📲 Qwen3.8-Flash Multimodal MoE Cost-Efficient Model Released With Open Weights; …

Alibaba's Qwen launches Qwen3.8-Flash AI model with lower training costs

Qwen3.8-Flash supports ⁠a default ‌context window of 262,144 tokens, ​expandable to ​1 million tokens, enabling it ⁠to handle large files, lengthy conversations and extensive ​research materials. It also released ​open-source weights ​for Qwen3.8-Flash-Next, allowing ⁠the developer community to evaluate an architecture that Qwen said would serve as a prototype for its ​next-generation Qwen4 model family.

Alibaba (BABA) Stock: Qwen Slashes AI Training Costs by 89% with New Qwen3.8-Flash Model

Key Highlights Qwen3.8-Flash debuts with enhanced multimodal capabilities, excelling at programming and productivity applications Training expenses reduced to approximately 11% of Qwen3.7-Plus costs Default processing capacity of 262,144 tokens, scalable to 1 million tokens for extensive applications Qwen3.8-Flash-Next released as open-source, offering early insights into Qwen4 architecture design Release coincides with Alibaba’s HK$80 billion …