Date:

Qwen 2.5-Max outperforms DeepSeek V3 in some benchmarks.

Here is the organized article:

Alibaba’s Response to DeepSeek: Qwen 2.5-Max

Alibaba’s Qwen 2.5-Max is the company’s latest Mixture-of-Experts (MoE) large-scale model, designed to outperform DeepSeek in various benchmarks.

Outperforming Peers

Qwen 2.5-Max 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).

Benchmark Results

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.

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.”

Making Qwen 2.5-Max Accessible

To make the model more accessible to the global community, Alibaba has integrated Qwen 2.5-Max with its Qwen Chat platform, where users can interact directly with the model in various capacities—whether exploring its search capabilities or testing its understanding of complex queries.

The Qwen 2.5-Max API is now available through Alibaba Cloud under the model name “qwen-max-2025-01-25”. Interested users can get started by registering an Alibaba Cloud account, activating the Model Studio service, and generating an API key.

Conclusion

Alibaba’s Qwen 2.5-Max is a significant step forward in the development of large-scale MoE models, showcasing the company’s commitment to pioneering research and pushing the boundaries of artificial intelligence.

FAQs

Q: What is Qwen 2.5-Max?
A: Qwen 2.5-Max is Alibaba’s latest Mixture-of-Experts (MoE) large-scale model, designed to outperform DeepSeek in various benchmarks.

Q: What are the key features of Qwen 2.5-Max?
A: Qwen 2.5-Max 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).

Q: How can I access Qwen 2.5-Max?
A: The Qwen 2.5-Max API is now available through Alibaba Cloud under the model name “qwen-max-2025-01-25”. Interested users can get started by registering an Alibaba Cloud account, activating the Model Studio service, and generating an API key.

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