---
title: Qwen: Qwen3 30B A3B API | Text Generation | ModelsLab
description: Efficient MoE LLM with 30.5B total params (3.3B active), 128 experts (8 active), 48 layers, GQA, 262K context; excels in reasoning, math, code, multimodal tasks at 92 t/s on 32GB GPU.[1][3][5][7]
url: https://modelslab.com/models/together_ai/Qwen-Qwen3-30B-A3B.md
canonical: https://modelslab.com/models/together_ai/Qwen-Qwen3-30B-A3B.md
type: product
component: Playground/LLM/Index
generated_at: 2026-04-15T00:22:45.991084Z
---

Qwen: Qwen3 30B A3B
---

 [LLMs.txt](https://modelslab.com/models/open_router/qwen-qwen3-30b-a3b/llms.txt) [.md](https://modelslab.com/models/qwen/qwen-qwen3-30b-a3b.md)

qwen-qwen3-30b-a3b qwen Closed Source Model $0.180000 / call

Qwen: Qwen3 30B A3B
---

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 30B A3B

qwen qwen-qwen3-30b-a3b

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)

[QQ](https://modelslab.com/models/open_router/qwen-qwen3.5-flash-02-23)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3.5-Flash

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3.5-flash-02-23)

[GG](https://modelslab.com/models/open_router/google-gemma-3-4b-it)[Open Router](https://modelslab.com/models/open_router)

 [Google: Gemma 3 4B

Closed Source Model](https://modelslab.com/models/open_router/google-gemma-3-4b-it)

[XG](https://modelslab.com/models/open_router/x-ai-grok-4.20)[Open Router](https://modelslab.com/models/open_router)

 [xAI: Grok 4.20

Closed Source Model](https://modelslab.com/models/open_router/x-ai-grok-4.20)

[QQ](https://modelslab.com/models/open_router/qwen-qwen3-next-80b-a3b-thinking)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3 Next 80B A3B Thinking

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-next-80b-a3b-thinking)

[![Meta: Llama 3 8B Instruct](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/07cb8c22-a068-40f8-a2e8-57d8b2371261.png)](https://modelslab.com/models/open_router/meta-llama-llama-3-8b-instruct)[Open Router](https://modelslab.com/models/open_router)

 [Meta: Llama 3 8B Instruct

Closed Source Model](https://modelslab.com/models/open_router/meta-llama-llama-3-8b-instruct)

[FC](https://modelslab.com/models/together_ai/facebook-cwm)[Together AI](https://modelslab.com/models/together_ai)

 [Facebook CWM

Closed Source Model](https://modelslab.com/models/together_ai/facebook-cwm)

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

 [Qwen: Qwen3 Coder 30B A3B Instruct

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

[ML](https://modelslab.com/models/open_router/meta-llama-llama-3.2-3b-instruct-free)[Open Router](https://modelslab.com/models/open_router)

 [Meta: Llama 3.2 3B Instruct (free)

Closed Source Model](https://modelslab.com/models/open_router/meta-llama-llama-3.2-3b-instruct-free)

[G3](https://modelslab.com/models/together_ai/google-gemma-3-27b-pt)[Together AI](https://modelslab.com/models/together_ai)

 [Gemma 3 27B Pt

Closed Source Model](https://modelslab.com/models/together_ai/google-gemma-3-27b-pt)

[DD](https://modelslab.com/models/open_router/deepseek-deepseek-v3.2)[Open Router](https://modelslab.com/models/open_router)

 [DeepSeek: DeepSeek V3.2

Closed Source Model](https://modelslab.com/models/open_router/deepseek-deepseek-v3.2)

[AC](https://modelslab.com/models/open_router/anthropic-claude-opus-4.6-fast)[Open Router](https://modelslab.com/models/open_router)

 [Anthropic: Claude Opus 4.6 (Fast)

Closed Source Model](https://modelslab.com/models/open_router/anthropic-claude-opus-4.6-fast)

[ZG](https://modelslab.com/models/open_router/z-ai-glm-4.5-air)[Open Router](https://modelslab.com/models/open_router)

 [Z.ai: GLM 4.5 Air

Closed Source Model](https://modelslab.com/models/open_router/z-ai-glm-4.5-air)

[MV](https://modelslab.com/models/open_router/anthracite-org-magnum-v4-72b)[Open Router](https://modelslab.com/models/open_router)

 [Magnum v4 72B

Closed Source Model](https://modelslab.com/models/open_router/anthracite-org-magnum-v4-72b)

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

 [Qwen: Qwen3 Coder 480B A35B (free)

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

[G2](https://modelslab.com/models/google_deepmind/google-gemma-2-27b-it)[ModelsLab](https://modelslab.com/models/google_deepmind)

 [Gemma-2 Instruct (27B)

Closed Source Model](https://modelslab.com/models/google_deepmind/google-gemma-2-27b-it)

[GG](https://modelslab.com/models/open_router/google-gemini-2.5-pro-preview-05-06)[Open Router](https://modelslab.com/models/open_router)

 [Google: Gemini 2.5 Pro Preview 05-06

Closed Source Model](https://modelslab.com/models/open_router/google-gemini-2.5-pro-preview-05-06)

[DR](https://modelslab.com/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B)[ModelsLab](https://modelslab.com/models/deepseek)

 [DeepSeek R1 Distill Qwen 1.5B

Closed Source Model](https://modelslab.com/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B)

[MP](https://modelslab.com/models/open_router/microsoft-phi-4)[Open Router](https://modelslab.com/models/open_router)

 [Microsoft: Phi 4

Closed Source Model](https://modelslab.com/models/open_router/microsoft-phi-4)

About Qwen: Qwen3 30B A3B
---

Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique...

### Technical Specifications

Model IDqwen-qwen3-30b-a3bCategoryLLM 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 30B A3B 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-qwen3-30b-a3b",
        "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-qwen3-30b-a3b/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

Qwen: Qwen3 30B A3B 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 30B A3B FAQ
---

### What is Qwen: Qwen3 30B A3B?

Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique...

### How do I use the Qwen: Qwen3 30B A3B API?

You can integrate Qwen: Qwen3 30B A3B into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "qwen-qwen3-30b-a3b" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Qwen: Qwen3 30B A3B cost?

Qwen: Qwen3 30B A3B 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 30B A3B model ID?

The model ID for Qwen: Qwen3 30B A3B is "qwen-qwen3-30b-a3b". Use this ID in your API requests to specify this model.

### Does Qwen: Qwen3 30B A3B have a free tier?

Yes, ModelsLab offers a free tier that lets you try Qwen: Qwen3 30B A3B 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*