Deepseek…Deepseek…Deepseek
This is the only thing now most people in the world are talking about.
There are two reasons for this.
The first one is it’s a direct competitor to top AI Tools like ChatGPT, Gemini, Copilot, and Claude.
Another one is that it is a Chinese company.
But wait…
Another tool from China has just surpassed some of the benchmarks of Deepseek AI.
Also, it was created by the largest corporation in China.
Yes, it is none other than Alibaba, and the AI name is
Qwen Max 2.5.
In this article, I am going to walk you through what it is and is it worth the hype.
Let’s dive in.
What is Qwen 2.5 Max?
Alibaba, a huge Chinese AI tech company, has just launched a new AI. They say it’s even better than the famous ChatGPT and a new one called DeepSeek that’s becoming popular. They are claiming it is a better alternative for Deepseek AI.
The name of Alibaba’s AI Model is “Qwen 2.5 Max”. They made it to compete with the best AIs out there, like ChatGPT and DeepSeek.
Even though Alibaba is known for its online shopping, they’re also big on AI. Qwen2.5-Max is their strongest AI yet. It has learned from a massive amount of information and can do lots of different things.
However, unlike some other AIs, Qwen2.5-Max doesn’t show you how it’s thinking. It just gives you the answer. But, since Alibaba keeps working on new AIs, we might see one from them in the future that explains its reasoning.
Alibaba is really confident about their new AI, Qwen 2.5-Max! They’re saying it’s better than some of the most advanced AIs from OpenAI (the makers of ChatGPT) and Meta, like GPT-4o and Llama-3.1-405B. They even say it beats DeepSeek-V3 in almost everything. It sounds like Alibaba is ready to take on the biggest names in AI!
Qwen 2.5-Max outperforms … almost across the board GPT-4o, DeepSeek-V3 and Llama-3.1-405B,” Alibaba’s cloud unit said in an announcement posted on its official WeChat account, referring to OpenAI and Meta’s most advanced open-source AI models.

How Does Qwen2.5-Max Work?
Qwen2.5-Max uses a special design called “Mixture-of-Experts” (MoE). This means that instead of using all of its knowledge for every question, it only activates the parts that are relevant to your request. This makes it more efficient and less computationally expensive.
The model was trained on a massive dataset of 20 trillion tokens, which is a huge amount of text data. This gives it a broad knowledge base to draw from.
To further improve its performance, Qwen2.5-Max was fine-tuned with human feedback. This means that humans helped guide the model to produce more accurate, relevant, and natural-sounding responses.
Qwen2.5-Max Benchmarks
The AI world is excited about Qwen2.5-Max, a new and advanced language model that’s getting a lot of praise for its performance in benchmark tests. But what do these test results really mean? To truly understand what Qwen2.5-Max can do, let’s look closer at how AI models are tested and measured.
We put Qwen2.5-Max, a new AI model, to the test to see how it compares to other leading AI models.
Two Types of AI: Specialists and All-Rounders
It’s important to understand that there are two main types of AI models:
- Instruct Models: These are like specialists. They are trained to be really good at specific tasks, like chatting, writing code, and answering questions.
- Base Models: These are like all-rounders. They are the foundation for AI models, and they have a broad range of abilities.
Qwen2.5-Max as a Specialist
We compared Qwen2.5-Max to other instruct models, like GPT-4o and Claude 3.5 Sonnet. Here’s what we found:
- Arena-Hard (preference benchmark): Qwen2.5-Max scores 89.4, beating DeepSeek V3 (85.5) and Claude 3.5 Sonnet (85.2). This means it’s really good at understanding what people want and giving them the answers they prefer.
- MMLU-Pro (knowledge and reasoning): Qwen2.5-Max scores 76.1, slightly ahead of DeepSeek V3 (75.9) but slightly behind Claude 3.5 Sonnet (78.0) and GPT-4o (77.0).
- GPQA-Diamond (general knowledge QA): Qwen2.5-Max scores 60.1, edging out DeepSeek V3 (59.1), but Claude 3.5 Sonnet leads at 65.0.
- LiveCodeBench (coding ability): Qwen2.5-Max scores 38.7, about the same as DeepSeek V3 (37.6) but behind Claude 3.5 Sonnet (38.9).
- LiveBench (overall capabilities): Qwen2.5-Max scores 62.2, beating DeepSeek V3 (60.5) and Claude 3.5 Sonnet (60.3). This shows it’s a well-rounded model.

Overall, Qwen2.5-Max is a strong instruct model, especially when it comes to understanding people’s preferences.
Qwen2.5-Max as an All-Rounder
We also compared Qwen2.5-Max to other base models, like DeepSeek V3 and LLaMA 3.1-405B. Here’s what we found:
- General knowledge and language understanding: Qwen2.5-Max is a top performer. It has a vast knowledge base and is great at understanding and using language.
- Coding and problem-solving: Qwen2.5-Max is also great at coding and solving problems.
- Mathematical problem-solving: Qwen2.5-Max is good at math, although it still has room to improve in more complex problem-solving.

Qwen2.5-Max is a powerful and versatile AI model. It’s good at both specialized tasks and general language processing. It has the potential to be used in a wide range of applications, and it’s an exciting development in the field of AI.
How to Access Qwen2.5-Max
For General Users,
You can access it from their website. Their interface just looks like other AI Tools.
For Developers,
If you’re a developer interested in using Qwen2.5-Max, you can access it through the Alibaba Cloud Model Studio API. To get started, you’ll need an Alibaba Cloud account with an active Model Studio service and an API key.
The API is designed to be compatible with OpenAI’s format, which makes integration easy if you’ve worked with OpenAI models before. For a step-by-step guide on setting everything up, check out the official Qwen2.5-Max blog post.
User Reviews about Qwen 2.5 Max



Conclusion:
Top tech companies are launching their own AI models to compete and conquer the AI market.
Most investments are going to companies working in AI.
Already existing tech products are integrating their tools with AI.
Now you can easily see why it is important to learn AI and master it.
If you can’t use AI at your work, somebody will replace you with AI soon.
Let me know your thoughts in the comments.