According to @DeepLearningAI, Alibaba added Qwen3-Max, a closed-weights mixture-of-experts model with about 1 trillion parameters, supporting 262k-token inputs and API pricing starting at approximately $1.20 per 1 million input tokens and $6.00 per 1 million output tokens, providing clear unit economics for AI workloads; source: DeepLearning.AI. According to @DeepLearningAI, Alibaba released Qwen3-VL-235B-A22B, an open-weights vision-language model for text, image, and video with context windows ranging from 262k up to 1 million tokens, and it reports top performance on many image, video, and agentic benchmarks; source: DeepLearning.AI. According to @DeepLearningAI, Alibaba also introduced Qwen3-Omni-30B-A3B, an open-weights multimodal voice model that achieves state of the art on 22 of 36 audio and audio-visual tests, highlighting progress in speech-centric workloads; source: DeepLearning.AI.

According to @DeepLearningAI, China's rapid progress in artificial intelligence is expected to intensify competition, following the US decision to lift its ban on high-performance GPUs for China. This policy shift is projected to boost AI development by Chinese tech firms like Alibaba, which has recently updated its Qwen3 AI family. Traders should note that increased AI innovation in China could drive demand for related stocks and AI-linked cryptocurrencies, especially those leveraging GPU resources or connected to the Chinese tech sector. Additionally, the White House's reset of US AI policy may affect regulatory outlooks for AI and crypto assets in both regions. Source: @DeepLearningAI.

According to DeepLearning.AI, Alibaba has released Qwen3, a suite of eight open large language models, featuring two mixture-of-experts (MoE) models and six dense models with parameter counts from 32B to 0.6B. These models support an optional reasoning mode and multilingual capabilities in 119 languages, significantly enhancing AI infrastructure. This rapid AI advancement is expected to drive further development in crypto-related AI projects, as open source LLMs like Qwen3 provide accessible tools for blockchain analytics, trading bots, and DeFi platforms (source: DeepLearning.AI, May 8, 2025). Traders should watch for increased integration of advanced AI models in crypto projects, potentially boosting innovation and market competitiveness.