---
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.com/models/together_ai/Qwen-Qwen2.5-7B-Instruct-Turbo.md
canonical: https://modelslab.com/models/together_ai/Qwen-Qwen2.5-7B-Instruct-Turbo.md
type: product
component: Playground/LLM/Index
generated_at: 2026-04-15T00:21:05.475675Z
---

Qwen2.5 7B Instruct Turbo
---

 [LLMs.txt](https://modelslab.com/models/qwen/Qwen-Qwen2.5-7B-Instruct-Turbo/llms.txt) [.md](https://modelslab.com/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.com/models?feature=llmaster)

[ML](https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-8B)[Together AI](https://modelslab.com/models/together_ai)

 [Meta Llama 3.1 8B

Closed Source Model](https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-8B)

[QQ](https://modelslab.com/models/open_router/qwen-qwen3-vl-32b-instruct)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3 VL 32B Instruct

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-vl-32b-instruct)

[DV](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-V3.2)[Together AI](https://modelslab.com/models/together_ai)

 [Deepseek V3.2

Closed Source Model](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-V3.2)

[QQ](https://modelslab.com/models/open_router/qwen-qwen3-vl-30b-a3b-thinking)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3 VL 30B A3B Thinking

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-vl-30b-a3b-thinking)

[SL](https://modelslab.com/models/open_router/sao10k-l3.1-70b-hanami-x1)[Open Router](https://modelslab.com/models/open_router)

 [Sao10K: Llama 3.1 70B Hanami x1

Closed Source Model](https://modelslab.com/models/open_router/sao10k-l3.1-70b-hanami-x1)

[MM](https://modelslab.com/models/open_router/minimax-minimax-m2.7)[Open Router](https://modelslab.com/models/open_router)

 [MiniMax: MiniMax M2.7

Closed Source Model](https://modelslab.com/models/open_router/minimax-minimax-m2.7)

[QQ](https://modelslab.com/models/qwen/Qwen-QwQ-32B)[ModelsLab](https://modelslab.com/models/qwen)

 [Qwen QwQ-32B

Closed Source Model](https://modelslab.com/models/qwen/Qwen-QwQ-32B)

[QQ](https://modelslab.com/models/open_router/qwen-qwen3-14b)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3 14B

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-14b)

[![Gemini 3 Pro Preview](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/1846e76f-9d5c-4a35-a43a-82db45b7bb8b.png)](https://modelslab.com/models/google/gemini-3-pro-preview)[Google](https://modelslab.com/models/google)

 [Gemini 3 Pro Preview

Closed Source Model](https://modelslab.com/models/google/gemini-3-pro-preview)

[ML](https://modelslab.com/models/open_router/meta-llama-llama-3.3-70b-instruct-free)[Open Router](https://modelslab.com/models/open_router)

 [Meta: Llama 3.3 70B Instruct (free)

Closed Source Model](https://modelslab.com/models/open_router/meta-llama-llama-3.3-70b-instruct-free)

[XG](https://modelslab.com/models/open_router/x-ai-grok-3-beta)[Open Router](https://modelslab.com/models/open_router)

 [xAI: Grok 3 Beta

Closed Source Model](https://modelslab.com/models/open_router/x-ai-grok-3-beta)

[BE](https://modelslab.com/models/open_router/baidu-ernie-4.5-vl-424b-a47b)[Open Router](https://modelslab.com/models/open_router)

 [Baidu: ERNIE 4.5 VL 424B A47B

Closed Source Model](https://modelslab.com/models/open_router/baidu-ernie-4.5-vl-424b-a47b)

[ML](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3.1-8B-Instruct-Turbo)[ModelsLab](https://modelslab.com/models/meta)

 [Meta Llama 3.1 8B Instruct Turbo

Closed Source Model](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3.1-8B-Instruct-Turbo)

[DD](https://modelslab.com/models/open_router/deepseek-deepseek-chat-v3.1)[Open Router](https://modelslab.com/models/open_router)

 [DeepSeek: DeepSeek V3.1

Closed Source Model](https://modelslab.com/models/open_router/deepseek-deepseek-chat-v3.1)

[![Gemini 2.5 Flash](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/4fc6b09e-c7ae-4301-aed1-0b180b88157b.png)](https://modelslab.com/models/google/gemini-2.5-flash)[Google](https://modelslab.com/models/google)

 [Gemini 2.5 Flash

Closed Source Model](https://modelslab.com/models/google/gemini-2.5-flash)

[RE](https://modelslab.com/models/open_router/rekaai-reka-edge)[Open Router](https://modelslab.com/models/open_router)

 [Reka Edge

Closed Source Model](https://modelslab.com/models/open_router/rekaai-reka-edge)

[GN](https://modelslab.com/models/open_router/google-gemini-3-pro-image-preview)[Open Router](https://modelslab.com/models/open_router)

 [Google: Nano Banana Pro (Gemini 3 Pro Image Preview)

Closed Source Model](https://modelslab.com/models/open_router/google-gemini-3-pro-image-preview)

[OG](https://modelslab.com/models/together_ai/openai-gpt-oss-120b)[Together AI](https://modelslab.com/models/together_ai)

 [OpenAI GPT-OSS 120B

Closed Source Model](https://modelslab.com/models/together_ai/openai-gpt-oss-120b)

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.com/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.com/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.com/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.com/qwen25-7b-instruct-turbo) [Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Qwen](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/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 - 2026-04-15*