Qwen2.5 72B Instruct Turbo
Turbocharge Qwen2.5 72B
Run Turbo. Scale Fast.
Turbo Speed
35 Tokens Per Second
Qwen2.5 72B Instruct Turbo hits 35 output tokens per second with 32K context.
Precision Tasks
Superior Instruction Following
Handles complex coding, math, and structured JSON outputs reliably.
Efficient Context
32K Token Window
Reduced from 128K for faster inference on Qwen2.5 72B Instruct Turbo API.
Examples
See what Qwen2.5 72B Instruct Turbo can create
Copy any prompt below and try it yourself in the playground.
Code Generator
“Write a Python function to parse JSON data from a REST API, handle errors, and return structured output as a Pandas DataFrame. Include type hints and docstring.”
Math Solver
“Solve this equation step-by-step: Find x in 3x^2 + 5x - 2 = 0 using quadratic formula. Explain each step and verify the solution.”
JSON Formatter
“Convert this unstructured text into valid JSON schema: User data includes name, age 30, city Tokyo, skills Python JavaScript. Ensure strict JSON output.”
Instruction Chain
“You are a coding assistant. First analyze the problem, then write Rust code for a binary search tree insertion, and finally add unit tests.”
For Developers
A few lines of code.
Turbo LLM. 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 Qwen2.5 72B Instruct Turbo on ModelsLab.