# Qwen3 VL 30B A3B Instruct

Qwen3 VL 30B A3B Instruct costs $0.2 per 1M input tokens and $0.7 per 1M output tokens on LLM API, with a 131K-token context window.

Model ID: `qwen3-vl-30b-a3b-instruct` · Alibaba · Text generation · Released October 4, 2025
Updated: 2026-10-13
Canonical: https://llmapi.ai/models/qwen-qwen3-vl-30b-a3b-instruct/

- Input: $0.2 per 1M tokens
- Output: $0.7 per 1M tokens
- Context: 131K tokens
- Max output: 4K tokens

## Pricing

Served by Novita AI, the only provider.

| Price | Amount | Per |
| --- | --- | --- |
| Input | $0.2 | per 1M tokens |
| Output | $0.7 | per 1M tokens |

**Volume pricing.** At higher monthly volume, Qwen3 VL 30B A3B Instruct may cost less. Book a call and sales will quote a price for your usage. [Book a call with sales](https://meetings.hubspot.com/julia-andriienko/llmapi) or [Create an account first](https://app.llmapi.ai/signup).

## Features

- Tools: Yes
- Parallel tool calls: No
- Image input: Yes
- Reasoning: No
- Prompt caching: No
- Structured outputs: Yes
- JSON mode: Yes
- Streaming: Yes
- Web search: No

## Call Qwen3 VL 30B A3B Instruct

### Chat Completions (`POST /v1/chat/completions`)

Set LLMAPI_KEY to your LLM API key.

```python
import os

from openai import OpenAI

client = OpenAI(
    base_url="https://api.llmapi.ai/v1",
    api_key=os.environ["LLMAPI_KEY"],
)

response = client.chat.completions.create(
    model="qwen3-vl-30b-a3b-instruct",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)
```

Docs: [Chat Completions docs](https://docs.llmapi.ai/api/v1/chat/completions)

## More from Alibaba

- [Qwen 3.8 Max](https://llmapi.ai/models/alibaba-qwen3-8-max/): $1.7 / $5.1 per 1M input / output
- [Qwen3.8 Flash Next](https://llmapi.ai/models/alibaba-qwen3-8-flash-next/): $0.201 / $0.5 per 1M input / output
- [Qwen3.8 27B](https://llmapi.ai/models/qwen-qwen3-8-27b/): $0.35 / $2.1 per 1M input / output

Prices synced 2026-11-03.

Next step: [Get API key](https://app.llmapi.ai/signup)