A group of researchers at the University of California, Berkeley, claims they’ve managed to reproduce the core technology behind DeepSeek’s headline-grabbing AI at a total cost of roughly $30. The news is another twist in a quickly developing narrative about whether building state-of-the-art AI demands colossal budgets or if far more affordable alternatives have been overlooked by tech’s biggest players.

Chinese cloud giant Alibaba says that its Qwen2.5-Max artificial intelligence model outperformed its rivals at OpenAI, Meta and DeepSeek.

Microsoft is bringing Chinese AI company DeepSeek’s R1 model to its Azure AI Foundry platform and GitHub today. The R1 model, which has rocked US financial markets this week because it can be trained at a fraction of the cost of leading models from OpenAI,

Microsoft made DeepSeek's groundbreaking R1 AI model available on the Azure AI Foundry platform as well as GitHub.

Pro, an updated version of its multimodal model, Janus. The new model improves training strategies, data scaling, and model size, enhancing multimodal understanding and text-to-image generation.