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Qwen2.5 72BScale Intelligence 72B

Try Qwen2.5 72BAPI Documentation

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
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about Qwen2.5 72B

Read the docs

Qwen2.5 72B is a 72B-parameter instruct-tuned LLM from Alibaba's Qwen team. It supports Qwen2.5 72B API for coding, math, and 29+ languages. Context reaches 128K tokens.

Qwen2.5 72B alternative outperforms predecessors in instruction following and long-text generation. Benchmarks show strong coding and math via expert models. Available via multiple providers.

Supports 131,072 tokens context, 8,192 output tokens. Ideal for long-form content and structured data like tables. Use Qwen2.5 72B API for extended tasks.

Covers 29+ languages including Chinese, English, French, Spanish. Enhances chatbots and content generation. Qwen2.5 72B LLM handles diverse prompts resiliently.

More knowledge, better coding/math, long-text/structured output. Instruction following and role-play strengthened. Qwen2.5 72B model uses 80 layers, RoPE, SwiGLU.

Supports LoRA fine-tuning on dedicated GPUs. Customize with your data for better responses. Deploy via Qwen2.5 72B API endpoints.

Ready to create?

Start generating with Qwen2.5 72B on ModelsLab.

Try Qwen2.5 72BAPI Documentation