Qwen 2.5 Max better than DeepSeek, beats ChatGPT in coding, costs 10x less than Claude 3.5
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In case all the buzz about DeepSeek over the past week wasn’t enough, Alibaba Cloud launched Qwen 2.5-Max, a state-of-the-art artificial intelligence model designed to outperform industry leaders like OpenAI’s GPT-4o and DeepSeek-V3.
This release marks a significant milestone in AI development, combining advanced technical capabilities with cost efficiency for enterprise applications.
But before we jump to the details, here is how it competes with other well known models:
Feature | Qwen 2.5-Max | GPT-4o (OpenAI) | DeepSeek-V3 | Claude 3.5 Sonnet (Anthropic) |
Architecture | MoE (72B) | Dense | Dense | Dense |
Training Tokens | 20T | Undisclosed | 6T | Undisclosed |
Context Window | 128K tokens | 32K tokens | 128K tokens | 100K tokens |
Coding (HumanEval) | 92.7% | 90.1% | 88.9% | 85.6% |
Cost per Million Tokens | $0.38 | $5.00 | $0.25 | $3.00 |
Open Source? | No | No | Yes | No |
What is Qwen 2.5-Max?
Qwen 2.5-Max is a 72-billion parameter Mixture-of-Experts (MoE) model developed by Alibaba Cloud. Unlike traditional dense models, it uses 64 specialised sub-networks (“experts”) that activate dynamically based on the task, reducing computational costs by 30% while maintaining high performance.
Also read: DeepSeek AI: How this free LLM is shaking up AI industry
The model was pretrained on 20 trillion tokens of data, including academic papers, code repositories, and multilingual web content. It supports text, image, audio, and video processing, with a 128,000-token context window (≈100,000 words), enabling it to analyse lengthy legal contracts or research papers in a single pass.
Notably, it can process 20-minute videos, generate SVG code from images, and handle audio inputs in 29 languages, including Mandarin, Arabic, and Hindi.
Qwen 2.5-Max leads in reasoning and coding benchmarks but trails Claude 3.5 Sonnet in creative writing tasks. While DeepSeek-V3 is cheaper, Qwen offers better price-to-performance for technical use cases. Unlike open-source rivals, Qwen 2.5-Max is accessible only via Alibaba’s API or Qwen Chat interface, limiting third-party customisation.
Why Qwen 2.5-Max is important
There are certain aspects of Qwen 2.5-Max which not only makes it important but an important player in the AI race.
1. Technical Superiority
Independent evaluations confirm Qwen 2.5-Max leads in critical benchmarks. On Arena-Hard, a reasoning test requiring multi-step logic, it achieves 89.4% accuracy, surpassing GPT-4o (83.7%) and Claude 3.5 Sonnet (88.1%).
Read more: DeepSeek vs OpenAI: Why ChatGPT maker says DeepSeek stole its tech to build rival AI
For coding tasks, it scores 92.7% on HumanEval, outperforming GPT-4o’s 90.1% and DeepSeek-V3’s 88.9%. In scientific reasoning, it achieves 60.1% accuracy on GPQA-Diamond, a benchmark for graduate-level STEM questions, compared to Claude 3.5’s 58.3%. These results make it particularly valuable for industries like software development, healthcare diagnostics, and academic research.
2. Cost Efficiency
Priced at $0.38 per million input tokens, Qwen 2.5-Max is 10 times cheaper than GPT-4o ($5/M tokens) and 8 times cheaper than Claude 3.5 Sonnet ($3/M tokens).
Read more: DeepSeek is call to action for Indian AI innovation, says Gartner
This pricing democratises access to high-performance AI for startups and small businesses, particularly in sectors like finance and education where budget constraints are common. For example, a mid-sized healthcare firm could deploy Qwen 2.5-Max for medical scan analysis at 1/10th the cost of GPT-4o.
3. Strategic Impact
Released days after DeepSeek’s R1 model, Qwen 2.5-Max counters its rival’s low-cost disruption. Alibaba’s timing intensifies competition in China’s AI sector, with ByteDance and Tencent accelerating their own model upgrades. Industry analysts note this positions Alibaba as a key player in the global AI race, particularly for enterprise clients.
Limitations
Despite its strengths, Qwen 2.5-Max has notable limitations. It underperforms Claude 3.5 Sonnet in creative writing tasks, scoring 15% lower on the Creative Writing Benchmark (CWB). Its closed-source nature restricts developer customisation compared to DeepSeek’s open models. Additionally, while it processes 128K tokens efficiently, performance degrades slightly beyond 100K tokens in complex tasks.
Read more: Deepseek R1 vs Llama 3.2 vs ChatGPT o1: Which AI model wins?
Conclusion
Qwen 2.5-Max exemplifies Alibaba’s strategy to dominate the enterprise AI market through technical precision and affordability. By outperforming GPT-4o in coding and reasoning at a fraction of the cost, it appeals to businesses seeking advanced AI without prohibitive expenses.
While creative applications remain a weakness, its strengths in technical domains position it as a critical tool for industries like healthcare, finance, and software development. As the AI race intensifies, Qwen 2.5-Max underscores China’s growing influence in shaping global AI standards.
Also read: What is Distillation of AI Models: Explained in short
Sagar Sharma
A software engineer who happens to love testing computers and sometimes they crash. While reviving his crashed system, you can find him reading literature, manga, or watering plants. View Full Profile