China’s Alibaba Group has released a Qwen3 LLM series said to be at the leading edge of open-source models, nearly achieving the performance of proprietary models from AI competitors OpenAI and Google. Alibaba says Qwen3 offers improvements in reasoning, tool use, instruction following and multilingual abilities. The Qwen3 series features eight new models — two that are mixture-of-experts and six built on dense neural networks. Their sizes range from 600 million to 235 billion parameters. The size and scope of the Alibaba slate maintains China’s accelerated AI pace in the wake of DeepSeek’s game-changing debut. Continue reading Alibaba Touts Advance in Open-Source AI with Qwen3 Series

OpenAI has launched a new series of multimodal models dubbed GPT-4.1 that represent what the company says is a leap in small model performance, including longer context windows and improvements in coding and instruction following. Geared to developers and available exclusively via API (not through ChatGPT), the 4.1 series comes in three variations: in addition to the flagship GPT‑4.1, GPT‑4.1 mini and GPT‑4.1 nano, OpenAI’s first nano model. Unlike Web-connected models (which have “retrieval-augmented generation,” or RAG) and can access up-to-date information, they are static knowledge models. Continue reading OpenAI’s Affordable GPT-4.1 Models Place Focus on Coding

Google has released what it calls its most intelligent AI model yet, Gemini 2.5. The first 2.5 model release, an experimental version of Gemini 2.5 Pro, is a next-gen reasoning model that Google says outperformed OpenAI o3-mini and Claude 3.7 Sonnet from Anthropic on common benchmarks “by meaningful margins.” Gemini 2.5 models “are thinking models, capable of reasoning through their thoughts before responding, resulting in enhanced performance and improved accuracy,” according to Google. The new model comes just three months after Google released Gemini 2.0 with reasoning and agentic capabilities. Continue reading Google Debuts Next-Gen Reasoning Models with Gemini 2.5