Qwen2.5 72B
Scale Intelligence 72B
Master Complex Tasks
Coding Power
Elite Code Generation
Qwen2.5 72B API excels in coding with specialized expert training.
Math Precision
Advanced Math Reasoning
Handles complex mathematics via CoT, PoT, and TIR methods.
Long Context
128K Token Support
Processes up to 131K context, generates 8K tokens for structured JSON.
Examples
See what Qwen2.5 72B can create
Copy any prompt below and try it yourself in the playground.
Code Refactor
“Refactor this Python function to optimize for speed and readability, handling edge cases: def calculate_fib(n): if n <= 1: return n; return calculate_fib(n-1) + calculate_fib(n-2)”
Math Proof
“Prove the Pythagorean theorem step-by-step using vector geometry, then apply to a 3-4-5 triangle.”
JSON Summary
“Analyze this sales data table and output JSON with total revenue, top product, and quarterly trends: Q1: ProductA 1000, ProductB 1500; Q2: ProductA 1200, ProductB 1400”
Multilingual Guide
“Write a 500-word travel guide to Tokyo in Japanese, covering food, transport, and culture for first-time visitors.”
For Developers
A few lines of code.
72B power. 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())