---
title: Qwen2.5 7B Instruct Turbo API | Text Generation | ModelsLab
description: Instruction-tuned 7.6B parameter large language model with 131K token context, FP8 quantization, and enhanced coding, math, and multilingual capabilities.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/qwen-qwen2.5-7b-instruct-turbo.md
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/qwen-qwen2.5-7b-instruct-turbo.md
type: product
component: Playground/LLM/Index
generated_at: 2026-05-13T09:46:21.228534Z
---

Qwen2.5 7B Instruct Turbo
---

 [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/qwen/Qwen-Qwen2.5-7B-Instruct-Turbo/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/qwen/Qwen-Qwen2.5-7B-Instruct-Turbo.md)

Qwen-Qwen2.5-7B-Instruct-Turbo qwen Closed Source Model $0.300000 / call

Qwen2.5 7B Instruct Turbo
---

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 7B Instruct Turbo

qwen Qwen-Qwen2.5-7B-Instruct-Turbo

Copy model ID

PricingInput $0.30 / 1M tokens

Output $0.30 / 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)

[Q1](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-1.7B)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen3 1.7B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-1.7B)

[OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4o-mini-search-preview)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [OpenAI: GPT-4o-mini Search Preview

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4o-mini-search-preview)

[XG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/x-ai-grok-4-fast)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [xAI: Grok 4 Fast

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/x-ai-grok-4-fast)

[L3](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/nvidia-Llama-3.1-Nemotron-70B-Instruct-HF)[ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta)

 [Llama 3.1 Nemotron 70B Instruct HF

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/nvidia-Llama-3.1-Nemotron-70B-Instruct-HF)

[MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-ministral-8b-2512)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Mistral: Ministral 3 8B 2512

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-ministral-8b-2512)

[QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-30b-a3b-thinking-2507)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Qwen: Qwen3 30B A3B Thinking 2507

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-30b-a3b-thinking-2507)

[OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4.1)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [OpenAI: GPT-4.1

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-4.1)

[DC](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepcogito-cogito-v2.1-671b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Deep Cogito: Cogito v2.1 671B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/deepcogito-cogito-v2.1-671b)

[ER](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/togethercomputer-EssentialAI-RNJ-1-Instruct)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [EssentialAI Rnj-1 Instruct

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/togethercomputer-EssentialAI-RNJ-1-Instruct)

[D1](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/agentica-org-DeepCoder-14B-Preview)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Deepcoder 14B Preview

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/agentica-org-DeepCoder-14B-Preview)

[QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/alibaba_cloud/qwen-qwen3.5-27b)[Alibaba](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/alibaba_cloud)

 [Qwen: Qwen3.5-27B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/alibaba_cloud/qwen-qwen3.5-27b)

[XM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/xiaomi-mimo-v2-pro)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Xiaomi: MiMo-V2-Pro

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/xiaomi-mimo-v2-pro)

[AC](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/alfredpros-codellama-7b-instruct-solidity)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [AlfredPros: CodeLLaMa 7B Instruct Solidity

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/alfredpros-codellama-7b-instruct-solidity)

[MP](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-pixtral-large-2411)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Mistral: Pixtral Large 2411

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-pixtral-large-2411)

[MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mixtral-8x22b-instruct)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Mistral: Mixtral 8x22B Instruct

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mixtral-8x22b-instruct)

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

 [Qwen: Qwen3 Coder Next

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

[GG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemma-3n-e4b-it)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Google: Gemma 3n 4B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemma-3n-e4b-it)

[BE](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/baidu-ernie-4.5-21b-a3b)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Baidu: ERNIE 4.5 21B A3B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/baidu-ernie-4.5-21b-a3b)

About Qwen2.5 7B Instruct Turbo
---

Instruction-tuned 7.6B parameter large language model with 131K token context, FP8 quantization, and enhanced coding, math, and multilingual capabilities for complex tasks.

### Technical Specifications

Model IDQwen-Qwen2.5-7B-Instruct-TurboCategoryLLM ModelsTaskText GenerationPrice$0.300000 per million tokensAddedJuly 22, 2025

### 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 7B Instruct Turbo 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-Qwen2.5-7B-Instruct-Turbo",
        "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-Qwen2.5-7B-Instruct-Turbo/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

Qwen2.5 7B Instruct Turbo API costs $0.300000 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

[Learn more about Qwen2.5 7B Instruct Turbo](https://modelslab-frontend-v2-927501783998.us-east4.run.app/qwen25-7b-instruct-turbo) [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 7B Instruct Turbo FAQ
---

### What is Qwen2.5 7B Instruct Turbo?

Instruction-tuned 7.6B parameter large language model with 131K token context, FP8 quantization, and enhanced coding, math, and multilingual capabilities for complex tasks.

### How do I use the Qwen2.5 7B Instruct Turbo API?

You can integrate Qwen2.5 7B Instruct Turbo into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "Qwen-Qwen2.5-7B-Instruct-Turbo" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Qwen2.5 7B Instruct Turbo cost?

Qwen2.5 7B Instruct Turbo costs $0.300000 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 7B Instruct Turbo model ID?

The model ID for Qwen2.5 7B Instruct Turbo is "Qwen-Qwen2.5-7B-Instruct-Turbo". Use this ID in your API requests to specify this model.

### Does Qwen2.5 7B Instruct Turbo have a free tier?

Yes, ModelsLab offers a free tier that lets you try Qwen2.5 7B Instruct Turbo 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*