Qwen-2.5-Coder-32B
Preview
Qwen-2.5-Coder-32B is a specialized version of Qwen-2.5-32B, fine-tuned specifically for code generation and development tasks. Built on 5.5 trillion tokens of code and technical content, it delivers instant, production-quality code generation that matches GPT-4's capabilities. With reliable function calling, native JSON support, and a massive 128K context window, it integrates seamlessly into your development environment while maintaining sub-second response times - even on large projects.
Key Technical Specifications
Development Features
Optimized for real-world coding workflows with instant responses, reliable function calling, and native JSON support. The 128K context window lets you process entire codebases while maintaining project context.
Performance & Reliability
Production-ready capabilities for professional development:
- Sub-second response times for rapid iteration
- Code quality matching GPT-4 across languages
- Seamless integration with development tools
Technical Details
| FEATURE | VALUE |
|---|---|
| Context Window (Tokens) | 128K |
| Max Output Tokens | - |
| Max File Size | - |
| Token Generation Speed | ~390 TPS |
| Input Token Price | $0.79/1M tokens |
| Output Token Price | $0.79/1M tokens |
| Tool Use |  |
| JSON Mode | |
| Image Support |  |
Use Cases
Software Development
Accelerates development workflows with intelligent code assistance and debugging support.
- Code generation and completion across major programming languages
- Bug detection and automated fixes
- Code review and optimization suggestions
- API integration assistance
Technical Documentation
Helps create and maintain high-quality technical documentation.
- API documentation generation
- Code comment generation and improvement
- Technical specification writing
- Documentation updates based on code changes
Best Practices
- Speed up iterations by giving examples - include sample inputs/outputs or existing code patterns to get production-ready code faster
- Load entire files into context - with 128K tokens available, you can paste full source files to get contextually-aware suggestions that match your codebase
- Structure complex responses with JSON mode - perfect for generating config files, API responses, or any data that needs to follow a specific schema
- Break down complex tasks - split large development tasks into smaller, focused prompts for more reliable and maintainable outputs
Get Started with Qwen-2.5-Coder-32B
Experience state-of-the-art code generation and development assistance with Qwen-2.5-Coder-32B - optimized for exceptional performance on Groq hardware now:
pip install groq1from groq import Groq
2client = Groq()
3completion = client.chat.completions.create(
4 model="qwen-2.5-coder-32b",
5 messages=[
6 {
7 "role": "user",
8 "content": "Explain why fast inference is critical for reasoning models"
9 }
10 ]
11)
12print(completion.choices[0].message.content)