Alibaba Unveils Qwen 2.5-Max: A Breakthrough Large-Scale Model

Overview of Qwen 2.5-Max

Alibaba has introduced Qwen 2.5-Max, its latest Mixture-of-Experts (MoE) large-scale model, as a response to DeepSeek. This model boasts pretraining on over 20 trillion tokens and fine-tuning through cutting-edge techniques like Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF).

Availability and Exploration

The Qwen 2.5-Max model is now available through Alibaba Cloud, and developers and researchers can explore it via Qwen Chat. This allows users to experience Alibaba’s breakthroughs firsthand.

Outperforming Peers

When comparing Qwen 2.5-Max’s performance against prominent AI models on various benchmarks, the results are promising. Evaluations included popular metrics like the MMLU-Pro for college-level problem-solving, LiveCodeBench for coding expertise, LiveBench for overall capabilities, and Arena-Hard for assessing models against human preferences.

Performance Comparison

According to Alibaba, "Qwen 2.5-Max outperforms DeepSeek V3 in benchmarks such as Arena-Hard, LiveBench, LiveCodeBench, and GPQA-Diamond, while also demonstrating competitive results in other assessments, including MMLU-Pro."

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Tags

• AI
• Alibaba
• Artificial Intelligence
• Models
• Qwen
• Qwen 2.5