Qwen2.5-Max: Alibaba’s New AI Model Outperforms DeepSeek, GPT-4o, and Claude Sonnet

In the rapidly evolving landscape of Artificial Intelligence, a new contender has emerged, shaking up the competition. Alibaba has just unveiled Qwen2.5-Max, a cutting-edge AI model that is setting new benchmarks for performance and capabilities. This model not only rivals but also surpasses leading models like DeepSeek V3, GPT-4o, and Claude Sonnet across a range of key evaluations. Qwen2.5-Max is not just another AI model; it’s a leap forward in AI technology.

What Makes Qwen2.5-Max a Game-Changer?

Qwen2.5-Max is packed with features that make it a true game-changer in the AI space:

• Code Execution & Debugging: It doesn’t just generate code; it runs and debugs it in real-time. This capability is crucial for developers who need to test and refine their code quickly.
• Ultra-Precise Image Generation: Forget generic AI art; Qwen2.5-Max produces highly detailed, instruction-following images, opening up new possibilities in creative fields.
• Faster AI Video Generation: This model creates video much faster than the 90% of existing AI tools
• Web Search & Knowledge Synthesis: The model can perform real-time searches, gather data, and summarize findings, making it a powerful tool for research and analysis.
• Vision Capabilities: Upload PDFs, images, and documents, and Qwen2.5-Max will read, analyze, and extract valuable insights instantly, enhancing its applicability in document-heavy tasks.

Technical Details

Qwen2.5-Max is a large-scale Mixture-of-Experts (MoE) model that has been pre-trained on over 20 trillion tokens. Following pre-training, the model was fine-tuned using Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF), further enhancing its capabilities.

Performance Benchmarks

The performance of Qwen2.5-Max is nothing short of impressive. It has been evaluated across several benchmarks, including:

• MMLU-Pro: Testing its knowledge through college-level problems.
• LiveCodeBench: Assessing its coding skills.
• LiveBench: Measuring its general capabilities.
• Arena-Hard: Evaluating its alignment with human preferences.

Qwen2.5-Max significantly outperforms DeepSeek V3 in benchmarks such as Arena-Hard, LiveBench, LiveCodeBench, and GPQA-Diamond. While also showing competitive performance in other assessments like MMLU-Pro. The base models also show significant advantages across most benchmarks when compared to DeepSeek V3, Llama-3.1-405B, and Qwen2.5-72B.

How to Use Qwen2.5-Max

Qwen2.5-Max is now available on Qwen Chat, where you can interact with the model directly. It is also accessible via an API through Alibaba Cloud. Here is the steps to use the API:

1. Register an Alibaba Cloud account and activate the Alibaba Cloud Model Studio service.
2. Navigate to the console and create an API key.
3. Since the APIs are OpenAI-API compatible, you can use them as you would with OpenAI APIs.

Here is an example of using Qwen2.5-Max in Python:

from openai import OpenAI
import os

client = OpenAI(
    api_key=os.getenv("API_KEY"),
    base_url="https://dashscope-intl.aliyuncs.com/compatible-mode/v1",
)

completion = client.chat.completions.create(
    model="qwen-max-2025-01-25",
    messages=[
      {'role': 'system', 'content': 'You are a helpful assistant.'},
      {'role': 'user', 'content': 'Which number is larger, 9.11 or 9.8?'}
    ]
)

print(completion.choices[0].message)

Future Implications

Alibaba’s commitment to continuous research and development is evident in Qwen2.5-Max. The company is dedicated to enhancing the thinking and reasoning capabilities of LLMs through innovative scaled reinforcement learning. This approach aims to unlock new frontiers in AI by potentially enabling AI models to surpass human intelligence.

Citation

If you find Qwen2.5-Max helpful, please cite the following paper:

@article{qwen25,
  title={Qwen2.5 technical report},
  author={Qwen Team},
  journal={arXiv preprint arXiv:2412.15115},
  year={2024}
}

Qwen2.5-Max represents a significant advancement in AI technology. Its superior performance across multiple benchmarks and its diverse range of capabilities make it a crucial tool for various applications. As Alibaba continues to develop and refine this model, we can expect even more groundbreaking innovations in the future.