The post Alibaba’s Qwen3 unseats DeepSeek’s R1, now leads open-source AI models appeared on BitcoinEthereumNews.com.

Alibaba’s new Qwen3 family of AI models has surpassed DeepSeek’s R1 to become the world’s best open-source model. According to reports, Qwen3 did better than R1 in tests that measure open-source AI models’ abilities in areas like language instruction, math, coding, and data analysis.  The Qwen3 family was launched last week by Alibaba’s cloud computing unit. It has eight improved models with between 600 million and 235 billion parameters. In machine learning, parameters are the variables in an AI system while it is being trained. According to LiveBench platform, an independent platform that tests large language models, before these new tests, DeepSeek’s R1 had been the best open-source AI model in the world since it came out in January. But not anymore. Both US and Chinese companies rush to adopt Qwen 3 The rise of Qwen3 in the LiveBench rankings shows how quickly AI is developing in China. The Chinese tech industry has grown a lot thanks to open-source tools. The Alibaba open-source method code has allowed other third-party software developers to share the design, fix broken links, or make the program more powerful.  However, the overall LiveBench results showed that Qwen3 was not as good as OpenAI’s o3, Google’s Gemini Pro 2.5, and Anthropic’s Claude 3.7, which are the best closed-source AI models in the world. LiveBench says that the o3-mini high, OpenAI’s most popular AI model, was the best in the world overall. Microsoft backs OpenAI. For every 1 million tokens, it takes $10 to run o3. On the other hand, Qwen3 is cheaper to use because it only costs $0.55 per 1 million tokens to run. Because Qwen3 is cheaper and works better, many businesses said they would back Alibaba’s newest AI model as soon as it came out. Huawei Technologies, Moore Threads, Cambricon Technologies, and Hygon…

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Filed under: News - @ May 6, 2025 5:27 pm