Qwen 2.5 72B Instruct Turbo
Qwen 2.5 72B Instruct Turbo is Alibaba's accelerated serving variant of the 72-billion-parameter Qwen 2.5 instruction model. The Turbo designation indicates optimized inference throughput—delivering the quality of the full 72B instruction model at meaningfully reduced latency—making it practical for production workloads that would otherwise find the base 72B too slow.
It inherits Qwen 2.5's strong multilingual breadth, reasoning depth, and coding capability, while the Turbo optimization closes the gap with smaller, faster models on response speed. It is well positioned for high-quality production APIs where users expect both substantive responses and low wait times.
Key Features
72B parameter quality with optimized inference speed (Turbo tier)
Strong multilingual generation spanning 29+ languages
Advanced code generation, review, and debugging
Deep reasoning for multi-hop analytical and math tasks
Reliable instruction following for complex structured prompts
Long-context support for document summarization and analysis
Ideal Use Cases
Production AI assistants requiring both quality and low latency
Multilingual content generation for global product deployments
Technical documentation writing and code review automation
Complex question answering over large document collections
Enterprise knowledge bases with demanding throughput requirements
Example Prompts for Qwen 2.5 72B Instruct Turbo
Technical Specifications
| Provider | Alibaba |
| Category | Text |
| Modality | Text -> Text |
| Context Window | 128K tokens |
API Usage
1 curl -X POST https://api.vincony.com/v1/chat/completions \ 2 -H "Authorization: Bearer YOUR_API_KEY" \ 3 -H "Content-Type: application/json" \ 4 -d '{ 5 "model": "alibaba/qwen-2.5-72b-instruct-turbo", 6 "messages": [ 7 { "role": "user", "content": "Hello, Qwen 2.5 72B Instruct Turbo!" } 8 ] 9 }'
Replace YOUR_API_KEY with your Vincony API key. OpenAI-compatible endpoint — works with any OpenAI SDK.
Frequently Asked Questions
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