Qwen 2.5 Coder 32B Instruct
Code Like GPT-4o
Master Code Generation
SOTA Performance
Matches GPT-4o
Qwen 2.5 Coder 32B Instruct rivals GPT-4o on HumanEval, LiveCodeBench, and Aider benchmarks.
128K Context
Handles Long Code
Supports up to 128K tokens for complex projects and agentic workflows.
40+ Languages
Multi-Language Code
Excels in Haskell, Racket, and more via balanced pre-training data.
Examples
See what Qwen 2.5 Coder 32B Instruct can create
Copy any prompt below and try it yourself in the playground.
SQL Optimizer
“Analyze this SQL query for performance issues and rewrite it optimized for a PostgreSQL database handling large e-commerce datasets: SELECT * FROM orders o JOIN customers c ON o.customer_id = c.id WHERE o.date > '2024-01-01' ORDER BY o.total DESC;”
Bug Fixer
“Fix bugs in this Python function that calculates Fibonacci numbers recursively, causing stack overflow for n>30: def fib(n): if n <= 1: return n return fib(n-1) + fib(n-2)”
API Generator
“Write a FastAPI endpoint for user authentication using JWT, including request validation with Pydantic and secure password hashing with bcrypt.”
Algorithm Impl
“Implement Dijkstra's shortest path algorithm in JavaScript for a graph represented as an adjacency list, with priority queue using heap.”
For Developers
A few lines of code.
Code fixes. One call.
ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.
- Serverless: scales to zero, scales to millions
- Pay per token, no minimums
- Python and JavaScript SDKs, plus REST API
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with Qwen 2.5 Coder 32B Instruct on ModelsLab.