---
title: Qwen 2.5 Coder 32B Instruct | Text Generation | ModelsLab
description: Advanced open-source coding LLM with 32B parameters, 32K context, supports 40+ languages, excels in code generation, repair, and reasoning—ideal for.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/qwen-qwen2.5-coder-32b-instruct.md
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/qwen-qwen2.5-coder-32b-instruct.md
type: product
component: Playground/LLM/Index
generated_at: 2026-05-13T10:35:27.079720Z
---

Qwen 2.5 Coder 32B Instruct
---

 [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/qwen/Qwen-Qwen2.5-Coder-32B-Instruct/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/qwen/Qwen-Qwen2.5-Coder-32B-Instruct.md)

Qwen-Qwen2.5-Coder-32B-Instruct qwen Closed Source Model $0.800000 / call

Qwen 2.5 Coder 32B 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

### Qwen 2.5 Coder 32B Instruct

qwen Qwen-Qwen2.5-Coder-32B-Instruct

Copy model ID

PricingInput $0.80 / 1M tokens

Output $0.80 / 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)

[RL](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/refuel_ai/togethercomputer-Refuel-Llm-V2)[ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/refuel_ai)

 [Refuel LLM V2

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/refuel_ai/togethercomputer-Refuel-Llm-V2)

[DR](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B)[ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/deepseek)

 [DeepSeek R1 Distill Qwen 1.5B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B)

[QQ](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-235b-a22b-thinking-2507)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Qwen: Qwen3 235B A22B Thinking 2507

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-235b-a22b-thinking-2507)

[QN](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-Next-80B-A3B-Instruct-FP8)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen3 Next 80B A3b Instruct Fp8

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-Next-80B-A3B-Instruct-FP8)

[ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/meta-llama-Llama-2-7b-chat-hf)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [meta-llama/Llama-2-7b-chat-hf

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/meta-llama-Llama-2-7b-chat-hf)

[G2](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/google-gemma-2b-it)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Gemma 2B It

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/google-gemma-2b-it)

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

 [OpenAI: GPT-4o

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

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

 [xAI: Grok 3

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

[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)

[![GPT 5.2](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/2bdd00f4-1692-49d8-a562-72cb1753d0ff.png)](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai/gpt-5.2)[Open Ai](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai)

 [GPT 5.2

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai/gpt-5.2)

[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)

[![gpt-oss-20b](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/8b2f0440-52cc-4f41-93eb-d31006ad71e2.webp)](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai/gpt-oss-20b)[Open Ai](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai)

 [gpt-oss-20b

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/openai/gpt-oss-20b)

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

 [Qwen2.5 72B Instruct Turbo

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

[Q2](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2-72B)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen 2 (72B)

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

[OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5-codex)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [OpenAI: GPT-5 Codex

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-5-codex)

[SS](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/stepfun-step-3.5-flash)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [StepFun: Step 3.5 Flash

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/stepfun-step-3.5-flash)

[AN](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/amazon-nova-pro-v1)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Amazon: Nova Pro 1.0

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/amazon-nova-pro-v1)

[ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-Meta-Llama-3.1-70B-Instruct-Turbo)[ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta)

 [Meta Llama 3.1 70B Instruct Turbo

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

About Qwen 2.5 Coder 32B Instruct
---

Advanced open-source coding LLM with 32B parameters, 32K context, supports 40+ languages, excels in code generation, repair, and reasoning—ideal for developers seeking local, high-performance AI coding assistance.

### Technical Specifications

Model IDQwen-Qwen2.5-Coder-32B-InstructCategoryLLM ModelsTaskText GenerationPrice$0.800000 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 Qwen 2.5 Coder 32B 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-Coder-32B-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-Coder-32B-Instruct/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

Qwen 2.5 Coder 32B Instruct API costs $0.800000 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 Qwen 2.5 Coder 32B Instruct](https://modelslab-frontend-v2-927501783998.us-east4.run.app/qwen-25-coder-32b-instruct) [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)

Qwen 2.5 Coder 32B Instruct FAQ
---

### What is Qwen 2.5 Coder 32B Instruct?

Advanced open-source coding LLM with 32B parameters, 32K context, supports 40+ languages, excels in code generation, repair, and reasoning—ideal for developers seeking local, high-performance AI coding assistance.

### How do I use the Qwen 2.5 Coder 32B Instruct API?

You can integrate Qwen 2.5 Coder 32B 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-Coder-32B-Instruct" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Qwen 2.5 Coder 32B Instruct cost?

Qwen 2.5 Coder 32B Instruct costs $0.800000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started.

### What is the Qwen 2.5 Coder 32B Instruct model ID?

The model ID for Qwen 2.5 Coder 32B Instruct is "Qwen-Qwen2.5-Coder-32B-Instruct". Use this ID in your API requests to specify this model.

### Does Qwen 2.5 Coder 32B Instruct have a free tier?

Yes, ModelsLab offers a free tier that lets you try Qwen 2.5 Coder 32B 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*