- Joined
- Dec 21, 2019
- Messages
- 208
Alibaba has launched Qwen 2.5-Max,  a powerful AI model that’s set  to compete with top models like  GPT, Claude , and DeepSeek.  it is definitely worth checking out!
 Massive Training Data – Trained on  over 20 trillion tokens with support  for 29 languages
  Massive Training Data – Trained on  over 20 trillion tokens with support  for 29 languages
 Handles Long Inputs  – Can process up to 128,000  tokens in a single conversation (great  for long documents!)
 Handles Long Inputs  – Can process up to 128,000  tokens in a single conversation (great  for long documents!)
 Mixture-of-Experts (MoE) Architecture  – Uses only the necessary parts  of the model per task, making  it both powerful and efficient
 Mixture-of-Experts (MoE) Architecture  – Uses only the necessary parts  of the model per task, making  it both powerful and efficient
 Strong  Benchmark Performance – Outperforms DeepSeek V3  in areas like code generation and  general capabilities, and is competitive with  GPT-4o & Claude 3.5 Sonnet
 Strong  Benchmark Performance – Outperforms DeepSeek V3  in areas like code generation and  general capabilities, and is competitive with  GPT-4o & Claude 3.5 Sonnet
 Developer-Friendly  – Available via Alibaba Cloud’s API  and can be explored on Qwen  Chat
 Developer-Friendly  – Available via Alibaba Cloud’s API  and can be explored on Qwen  Chat
Alibaba  is taking a hybrid approach with  MoE, making Qwen 2.5-Max more scalable  and efficient than many dense models.  This could mean better performance for  enterprise applications, research, and even casual  AI use.
Developers  can access Qwen 2.5-Max  via Alibaba Cloud’s API  or test it through Qwen Chat  (official link).  I've tested it and it's very  good. It can also generate images  and videos.
		
		
	
	
		 
	
	
		
			
		
		
	
				
			 Key Features of Qwen 2.5-Max
  Key Features of Qwen 2.5-Max
 Massive Training Data – Trained on  over 20 trillion tokens with support  for 29 languages
  Massive Training Data – Trained on  over 20 trillion tokens with support  for 29 languages Handles Long Inputs  – Can process up to 128,000  tokens in a single conversation (great  for long documents!)
 Handles Long Inputs  – Can process up to 128,000  tokens in a single conversation (great  for long documents!) Mixture-of-Experts (MoE) Architecture  – Uses only the necessary parts  of the model per task, making  it both powerful and efficient
 Mixture-of-Experts (MoE) Architecture  – Uses only the necessary parts  of the model per task, making  it both powerful and efficient Strong  Benchmark Performance – Outperforms DeepSeek V3  in areas like code generation and  general capabilities, and is competitive with  GPT-4o & Claude 3.5 Sonnet
 Strong  Benchmark Performance – Outperforms DeepSeek V3  in areas like code generation and  general capabilities, and is competitive with  GPT-4o & Claude 3.5 Sonnet Developer-Friendly  – Available via Alibaba Cloud’s API  and can be explored on Qwen  Chat
 Developer-Friendly  – Available via Alibaba Cloud’s API  and can be explored on Qwen  Chat 
				


 
 
		 Why Does This Matter?
 Why Does This Matter? Where to Try It?
 Where to Try It? 
 
		
