--- title: Qwen2.5 72B — Advanced LLM | ModelsLab description: Access Qwen2.5 72B API for superior coding, math, and multilingual tasks. Try long-context generation up to 128K tokens now. url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/qwen25-72b canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/qwen25-72b type: website component: Seo/ModelPage generated_at: 2026-05-13T09:42:52.290893Z --- Available now on ModelsLab · Language Model Qwen2.5 72B Scale Intelligence 72B --- [Try Qwen2.5 72B](/models/together_ai/Qwen-Qwen2.5-72B) [API Documentation](https://docs.modelslab.com) 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](/models/together_ai/Qwen-Qwen2.5-72B). 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 ](https://docs.modelslab.com) PythonJavaScriptcURL Copy ```

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 ](https://docs.modelslab.com) ### What is Qwen2.5 72B API? 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. ### How does qwen2 5 72b api compare to alternatives? 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. ### What context length for Qwen2.5 72B model? 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. ### Does qwen2.5 72b api support multilingual? Covers 29+ languages including Chinese, English, French, Spanish. Enhances chatbots and content generation. Qwen2.5 72B LLM handles diverse prompts resiliently. ### Key improvements in Qwen2.5 72B LLM? More knowledge, better coding/math, long-text/structured output. Instruction following and role-play strengthened. Qwen2.5 72B model uses 80 layers, RoPE, SwiGLU. ### Fine-tuning Qwen2.5 72B API? 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 72B](/models/together_ai/Qwen-Qwen2.5-72B) [API Documentation](https://docs.modelslab.com) --- *This markdown version is optimized for AI agents and LLMs.* **Links:** - [Website](https://modelslab.com) - [API Documentation](https://docs.modelslab.com) - [Blog](https://modelslab.com/blog) --- *Generated by ModelsLab - 2026-05-13*