Alibaba Qwen3.6-Plus Launches With 1M Context Window
Alibaba officially launches Qwen3.6-Plus, a 1-million-token context model built for enterprise agentic coding and multimodal reasoning, now free on OpenRouter.
Alibaba
Alibaba's C950 - First RISC-V CPU with Native LLM Inference
Alibaba's T-Head division launched the XuanTie C950, a 5nm 3.2GHz RISC-V server chip that sets a new world record for RISC-V single-core performance and natively runs billion-parameter models like DeepSeek V3 and Qwen3.
75% of AI Coding Agents Break Working Code Over Time
Alibaba's SWE-CI benchmark tested 18 AI models on 100 real codebases across 233 days of maintenance. Most agents accumulate technical debt and break previously working code. Only Claude Opus stays above 50% zero-regression.
Qwen's Tech Lead Junyang Lin Steps Down From Alibaba
Junyang Lin, the 32-year-old architect behind Alibaba's Qwen open-source AI models, announces his departure in a brief tweet - the fourth major exit from Tongyi Lab in two years.
Qwen 3.5 Small Series Ships Four Models From 0.8B to 9B
Alibaba completes the Qwen 3.5 lineup with four small models - 0.8B, 2B, 4B, and 9B - all natively multimodal, 262K context, Apache 2.0. The 9B outperforms last-gen Qwen3-30B and beats GPT-5-Nano on vision benchmarks.
Qwen3.5-0.8B
Qwen3.5-0.8B is the smallest natively multimodal model in the Qwen 3.5 family - 0.8B parameters handling text, images, and video with 262K context. MathVista 62.2, OCRBench 74.5. Apache 2.0.
