Qwen 1.5 110B
by Alibaba Cloud
Large Qwen model with exceptional multilingual capabilities.
Quick Facts
- Model Size
- 110B
- Context Length
- 32K tokens
- Release Date
- Feb 2024
- License
- Tongyi Qianwen License
- Provider
- Alibaba Cloud
- KYI Score
- 8.8/10
Best For
Performance Metrics
Speed
Quality
Cost Efficiency
Specifications
- Parameters
- 110B
- Context Length
- 32K tokens
- License
- Tongyi Qianwen License
- Pricing
- free
- Release Date
- February 5, 2024
- Category
- llm
Key Features
Pros & Cons
Pros
- ✓Excellent multilingual
- ✓Strong performance
- ✓Long context
Cons
- !Restrictive license
- !Resource intensive
- !Large size
Ideal Use Cases
Multilingual tasks
Complex reasoning
Content generation
Analysis
Qwen 1.5 110B FAQ
What is Qwen 1.5 110B best used for?
Qwen 1.5 110B excels at Multilingual tasks, Complex reasoning, Content generation. Excellent multilingual, making it ideal for production applications requiring llm capabilities.
How does Qwen 1.5 110B compare to other models?
Qwen 1.5 110B has a KYI score of 8.8/10, with 110B parameters. It offers excellent multilingual and strong performance. Check our comparison pages for detailed benchmarks.
What are the system requirements for Qwen 1.5 110B?
Qwen 1.5 110B with 110B requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is 32K tokens.
Is Qwen 1.5 110B free to use?
Yes, Qwen 1.5 110B is free and licensed under Tongyi Qianwen License. You can deploy it on your own infrastructure without usage fees or API costs, giving you full control over your AI deployment.
Related Models
LLaMA 3.1 405B
9.4/10Meta's largest and most capable open-source language model with 405 billion parameters, offering state-of-the-art performance across reasoning, coding, and multilingual tasks.
Qwen 2.5 Coder 32B
9.2/10Specialized coding model that excels at code generation, completion, and debugging across multiple programming languages.
LLaMA 3.1 70B
9.1/10A powerful 70B parameter model that balances performance and efficiency, ideal for production deployments requiring high-quality outputs.