Advertisement
Alibaba launches new AI model that it says outperforms DeepSeek, China’s hottest start-up
Alibaba touts that its new Qwen 2.5-Max AI model had ‘comprehensively outperformed’ DeepSeek-V3 in certain benchmark tests
Reading Time:2 minutes
Why you can trust SCMP
6

Alibaba Group Holding released on Wednesday an upgraded version of its Qwen artificial intelligence (AI) model, which it said “comprehensively outperformed” in certain benchmark tests DeepSeek-V3, the large language model (LLM) launched in December by China’s hottest start-up.
In a statement posted on WeChat, the e-commerce giant’s cloud computing and AI arm Alibaba Cloud said its new Qwen 2.5-Max model also outperformed OpenAI’s GPT-4o and Meta Platforms’ Llama-3.1-405B in LLM performance benchmark platforms Arena-Hard and LiveBench. Alibaba owns the South China Morning Post.
The benchmark performance of Qwen 2.5-Max, part of Alibaba’s Tongyi Qianwen LLM family, was on par with Anthropic’s Claude-3.5-Sonnet model, according to Alibaba Cloud. LLMs are the technology underpinning generative AI services like ChatGPT.
Alibaba’s multimodal model is offered in various sizes, from 3 billion to 72 billion parameters, and includes both base and instruction-tuned versions. The flagship model, Qwen2.5-VL-72B-Instruct, is now accessible through the Qwen Chat platform, while the entire Qwen2.5-VL series is available on open-source platform Hugging Face and Alibaba’s own open-source community Model Scope.
Parameter is a machine-learning term for variables present in an AI system during training, which helps establish how data prompts yield the desired output. Open source gives public access to a software program’s source code, allowing third-party developers to modify or share its design, fix broken links or scale up its capabilities.
Shares of Alibaba rose by almost 3 per cent in New York in recent trading, extending Tuesday’s 6.7 per cent jump, while transactions in Hong Kong were halted during the Lunar New Year holiday.
Advertisement
Select Voice
Choose your listening speed
Get through articles 2-3x faster
1.1x
220 WPM
Slow
Normal
Fast
1.1x