---
title: Qwen: Qwen3 32B API | Text Generation | ModelsLab
description: 32B dense transformer with 128K context, hybrid thinking mode, 119 languages—advanced reasoning for coding, math & multilingual tasks.
url: https://modelslab.com/models/together_ai/qwen-qwen3-32b.md
canonical: https://modelslab.com/models/together_ai/qwen-qwen3-32b.md
type: product
component: Playground/LLM/Index
generated_at: 2026-05-20T05:00:32.697828Z
---

Qwen: Qwen3 32B
---

 [LLMs.txt](https://modelslab.com/models/open_router/qwen-qwen3-32b/llms.txt) [.md](https://modelslab.com/models/qwen/qwen-qwen3-32b.md)

qwen-qwen3-32b qwen Closed Source Model $0.180000 / call

Qwen: Qwen3 32B
---

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: Qwen3 32B

qwen qwen-qwen3-32b

Copy model ID

PricingInput $0.08 / 1M tokens

Output $0.28 / 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)

[TS](https://modelslab.com/models/open_router/thedrummer-skyfall-36b-v2)[Open Router](https://modelslab.com/models/open_router)

 [TheDrummer: Skyfall 36B V2

Closed Source Model](https://modelslab.com/models/open_router/thedrummer-skyfall-36b-v2)

[![Qwen2.5 7B](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/9656e6c7-c07f-45e0-ad48-155b15ac434d.png)](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-7B)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen2.5 7B

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-7B)

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

 [Meta: Llama 3.3 70B Instruct

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

[![inclusionAI: Ling-2.6-flash](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/05786dbb-54cc-4ffb-88f7-adf5290c77a2.png)](https://modelslab.com/models/open_router/inclusionai-ling-2.6-flash)[Open Router](https://modelslab.com/models/open_router)

 [inclusionAI: Ling-2.6-flash

Closed Source Model](https://modelslab.com/models/open_router/inclusionai-ling-2.6-flash)

[![Cogito v2.1 671B](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/b81b1a2e-5949-4ac2-a7e2-ae13392ab07f.png)](https://modelslab.com/models/together_ai/deepcogito-cogito-v2-1-671b)[Together AI](https://modelslab.com/models/together_ai)

 [Cogito v2.1 671B

Closed Source Model](https://modelslab.com/models/together_ai/deepcogito-cogito-v2-1-671b)

[![Mistral Small (24B) Instruct 25.01](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/6115acd8-47bd-42af-9ad1-b8e6f9672200.png)](https://modelslab.com/models/mistral_ai/mistralai-Mistral-Small-24B-Instruct-2501)[ModelsLab](https://modelslab.com/models/mistral_ai)

 [Mistral Small (24B) Instruct 25.01

Closed Source Model](https://modelslab.com/models/mistral_ai/mistralai-Mistral-Small-24B-Instruct-2501)

[![Qwen 2 (7B)](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/730d08fe-ed8a-4a03-811b-eba01713a480.png)](https://modelslab.com/models/together_ai/Qwen-Qwen2-7B)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen 2 (7B)

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2-7B)

[MC](https://modelslab.com/models/open_router/mistralai-codestral-2508)[Open Router](https://modelslab.com/models/open_router)

 [Mistral: Codestral 2508

Closed Source Model](https://modelslab.com/models/open_router/mistralai-codestral-2508)

[![Qwen3 8B](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/9252df8c-1540-4516-9496-05d17da0d28f.png)](https://modelslab.com/models/together_ai/Qwen-Qwen3-8B)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen3 8B

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-8B)

[![Qwen: Qwen3.6 Flash](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/fafc9f37-90fd-4842-80b4-3be566b4f9d3.png)](https://modelslab.com/models/open_router/qwen-qwen3.6-flash)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3.6 Flash

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3.6-flash)

[DD](https://modelslab.com/models/open_router/deepseek-deepseek-chat-v3-0324)[Open Router](https://modelslab.com/models/open_router)

 [DeepSeek: DeepSeek V3 0324

Closed Source Model](https://modelslab.com/models/open_router/deepseek-deepseek-chat-v3-0324)

[BS](https://modelslab.com/models/open_router/bytedance-seed-seed-2.0-mini)[Open Router](https://modelslab.com/models/open_router)

 [ByteDance Seed: Seed-2.0-Mini

Closed Source Model](https://modelslab.com/models/open_router/bytedance-seed-seed-2.0-mini)

[MS](https://modelslab.com/models/open_router/mistralai-mistral-saba)[Open Router](https://modelslab.com/models/open_router)

 [Mistral: Saba

Closed Source Model](https://modelslab.com/models/open_router/mistralai-mistral-saba)

[![Minimax M1 40K](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/a9788b25-0533-4e16-8a17-eef3e4dd91e8.png)](https://modelslab.com/models/together_ai/MiniMaxAI-MiniMax-M1-40k)[Together AI](https://modelslab.com/models/together_ai)

 [Minimax M1 40K

Closed Source Model](https://modelslab.com/models/together_ai/MiniMaxAI-MiniMax-M1-40k)

[![Meta Llama 3.1 8B Instruct Awq Int4](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/9fe68c52-f0ea-41bb-b8c1-f7851f2d9425.png)](https://modelslab.com/models/together_ai/togethercomputer-meta-llama-3.1-8B-Instruct-AWQ-INT4)[Together AI](https://modelslab.com/models/together_ai)

 [Meta Llama 3.1 8B Instruct Awq Int4

Closed Source Model](https://modelslab.com/models/together_ai/togethercomputer-meta-llama-3.1-8B-Instruct-AWQ-INT4)

[![Qwen2.5-VL (72B) Instruct](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/31af8203-d9ed-4e38-84c9-af29b9fa0779.png)](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-VL-72B-Instruct)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen2.5-VL (72B) Instruct

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen2.5-VL-72B-Instruct)

[QQ](https://modelslab.com/models/open_router/qwen-qwen3-30b-a3b-thinking-2507)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3 30B A3B Thinking 2507

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-30b-a3b-thinking-2507)

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

 [Qwen: Qwen3 Coder Plus

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

About Qwen: Qwen3 32B
---

Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...

### Technical Specifications

Model IDqwen-qwen3-32bCategoryLLM ModelsTaskText GenerationPrice$0.180000 per million tokensAddedFebruary 20, 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 Qwen: Qwen3 32B 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-qwen3-32b",
        "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>
```

### Pricing

Qwen: Qwen3 32B API costs $0.180000 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

[Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Qwen](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing)

Qwen: Qwen3 32B FAQ
---

### What is Qwen: Qwen3 32B?

Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...

### How do I use the Qwen: Qwen3 32B API?

You can integrate Qwen: Qwen3 32B into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "qwen-qwen3-32b" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Qwen: Qwen3 32B cost?

Qwen: Qwen3 32B costs $0.180000 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: Qwen3 32B model ID?

The model ID for Qwen: Qwen3 32B is "qwen-qwen3-32b". Use this ID in your API requests to specify this model.

### Does Qwen: Qwen3 32B have a free tier?

Yes, ModelsLab offers a free tier that lets you try Qwen: Qwen3 32B 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 - 2026-05-20*