---
title: Qwen2.5 72B Instruct API | Text Generation | ModelsLab
description: Build with Qwen2.5 72B Instruct API by Qwen. Text generation, chat, code, and reasoning. Pay-per-use. Free tier.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/Qwen/Qwen-Qwen2.5-72B-Instruct.md
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/Qwen/Qwen-Qwen2.5-72B-Instruct.md
type: product
component: Playground/LLM/Index
generated_at: 2026-05-13T07:25:43.491737Z
---

Qwen2.5 72B Instruct
---

 [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-72B-Instruct/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/Qwen/Qwen-Qwen2.5-72B-Instruct.md)

Qwen-Qwen2.5-72B-Instruct Qwen Closed Source Model $1.200000 / call

Qwen2.5 72B Instruct
---

Choose a prompt below to get started or type your own message

 Explain quantum computing in simple terms

 Write a Python function to sort a list

 Create a marketing email for a SaaS product

 Compare REST vs GraphQL APIs

Send

### Qwen2.5 72B Instruct

Qwen Qwen-Qwen2.5-72B-Instruct

Copy model ID

PricingInput $1.20 / 1M tokens

Output $1.20 / 1M tokens

API EndpointsOpenAI Compatible

`https://modelslab.com/api/v7/llm/chat/completions`Endpoint

Anthropic Compatible

`https://modelslab.com/api/v7/llm/v1/messages`Messages

`https://modelslab.com/api/v7/llm/v1/messages/count_tokens`Count Tokens

`https://modelslab.com/api/v7/llm/v1/models`Models

Use with Claude Code

cURL Example

ParametersSystem MessageYou are a helpful AI assistant specialized in providing accurate and detailed responses.

Temperature0.7

Max Tokens1000

Top P0.9

Frequency Penalty0

Presence Penalty0

Model Info

Support

Related Models
---

Discover similar models you might be interested in

 [View all LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster)

[MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-medium-3)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Mistral: Mistral Medium 3

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-medium-3)

[Q1](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-14B)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen2.5 14B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-14B)

[MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-large-2512)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Mistral: Mistral Large 3 2512

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-large-2512)

[Q3](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-3B-Instruct)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen2.5 3B Instruct

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-3B-Instruct)

[H3](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Hcompany-Holo3-35B-A3B)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Holo3 35B A3b

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Hcompany-Holo3-35B-A3B)

[QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-vl-30b-a3b-thinking)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Qwen: Qwen3 VL 30B A3B Thinking

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-vl-30b-a3b-thinking)

[![Arcee AI: Virtuoso Large](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/9a2e71d3-3c00-4738-a62c-be4c7eb02beb.png)](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/arcee-ai-virtuoso-large)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Arcee AI: Virtuoso Large

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/arcee-ai-virtuoso-large)

[PS](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/perplexity-sonar-deep-research)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Perplexity: Sonar Deep Research

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/perplexity-sonar-deep-research)

[NN](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nvidia-nemotron-3-nano-30b-a3b-free)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [NVIDIA: Nemotron 3 Nano 30B A3B (free)

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nvidia-nemotron-3-nano-30b-a3b-free)

[MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/morph-morph-v3-fast)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Morph: Morph V3 Fast

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/morph-morph-v3-fast)

[QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3.5-122b-a10b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Qwen: Qwen3.5-122B-A10B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3.5-122b-a10b)

[Q7](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-72B)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen2.5 72B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-72B)

[DO](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/deepseek-ai-DeepSeek-OCR-2)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Deepseek OCR 2

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/deepseek-ai-DeepSeek-OCR-2)

[L4](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/meta-llama-Llama-4-Scout-17B-16E-Instruct)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Llama 4 Scout Instruct (17Bx16E)

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/meta-llama-Llama-4-Scout-17B-16E-Instruct)

[XG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/x-ai-grok-3-mini)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [xAI: Grok 3 Mini

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/x-ai-grok-3-mini)

[TH](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/tencent-hy3-preview)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Tencent: Hy3 preview

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/tencent-hy3-preview)

[QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-235b-a22b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Qwen: Qwen3 235B A22B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-235b-a22b)

[Q0](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-0.6B-Base)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen3 0.6B Base

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-0.6B-Base)

About Qwen2.5 72B Instruct
---

Qwen2.5 72B Instruct is a text generation AI model by Qwen available on ModelsLab. Access Qwen2.5 72B Instruct through our API with pay-per-use pricing and no minimum commitments.

### Technical Specifications

Model IDQwen-Qwen2.5-72B-InstructCategoryLLM ModelsTaskText GenerationPrice$1.200000 per million tokensAddedApril 4, 2026

### Key Features

- Chat completion and multi-turn conversation API
- Streaming response with token-by-token output
- Function calling and tool use support
- System prompts and role-based messaging
- JSON mode and structured output

### Quick Start

Integrate Qwen2.5 72B Instruct into your application with a single API call. Get your API key from the [pricing page](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing) to get started.

PythonJavaScriptcURLPHP

```
<code>import requests
import json

url = "https://modelslab.com/api/v7/llm/chat/completions"

headers = {
    "Content-Type": "application/json"
}

data = {
        "model_id": "Qwen-Qwen2.5-72B-Instruct",
        "messages": [
            {
                "role": "user",
                "content": "Hello!"
            }
        ],
        "max_tokens": 1000,
        "key": "YOUR_API_KEY"
    }

try:
    response = requests.post(url, headers=headers, json=data)
    response.raise_for_status()  # Raises an HTTPError for bad responses (4XX or 5XX)
    result = response.json()
    print("API Response:")
    print(json.dumps(result, indent=2))
except requests.exceptions.HTTPError as http_err:
    print(f"HTTP error occurred: {http_err} - {response.text}")
except Exception as err:
    print(f"Other error occurred: {err}")</code>
```

View the [full API documentation](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/Qwen/Qwen-Qwen2.5-72B-Instruct/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

Qwen2.5 72B Instruct API costs $1.200000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing)

### Use Cases

- AI chatbots and virtual assistants
- Code generation and developer tools
- Content writing and copywriting automation
- Data analysis, summarization, and extraction

[Browse LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [More from Qwen](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [View Pricing](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing)

Qwen2.5 72B Instruct FAQ
---

### What is Qwen2.5 72B Instruct?

Qwen2.5 72B Instruct is a text generation AI model by Qwen available on ModelsLab. Access it through our API with pay-per-use pricing and no minimum commitments.

### How do I use the Qwen2.5 72B Instruct API?

You can integrate Qwen2.5 72B Instruct into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "Qwen-Qwen2.5-72B-Instruct" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Qwen2.5 72B Instruct cost?

Qwen2.5 72B Instruct costs $1.200000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started.

### What is the Qwen2.5 72B Instruct model ID?

The model ID for Qwen2.5 72B Instruct is "Qwen-Qwen2.5-72B-Instruct". Use this ID in your API requests to specify this model.

### Does Qwen2.5 72B Instruct have a free tier?

Yes, ModelsLab offers a free tier that lets you try Qwen2.5 72B Instruct and other AI models. Sign up to get free API credits and start building immediately.

---

*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*