# Qwen3 VL 32B Thinking API Pricing

As of October 10, 2026, Qwen3 VL 32B Thinking costs $0.16 per 1M input tokens and $2.87 per 1M output tokens on Alibaba Cloud Model Studio. It has a 131,072-token context window and returns up to 32,768 tokens per response.

- Page: https://models.litellm.ai/models/qwen3-vl-32b-thinking
- Lab: Alibaba
- LiteLLM model name: `dashscope/qwen3-vl-32b-thinking`
- Context window: 131,072 tokens
- Max output: 32,768 tokens
- Added to LiteLLM: March 2026
- Prices updated: October 10, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| Alibaba Cloud Model Studio | `dashscope/qwen3-vl-32b-thinking` | $0.16 | $2.87 | – | – | – | 128K |
| Qianwen AI Platform | `qwen_ai_platform/qwen3-vl-32b-thinking` | $0.16 | $2.87 | – | – | – | 128K |
| QwenCloud | `qwencloud/qwen3-vl-32b-thinking` | $0.16 | $2.87 | – | – | – | 128K |

## Cost examples

1,000 requests with 2,000 input and 500 output tokens each:

- Alibaba Cloud Model Studio: $1.755
- Qianwen AI Platform: $1.755
- QwenCloud: $1.755

100 long-document requests with 100,000 input and 2,000 output tokens each:

- Alibaba Cloud Model Studio: $2.174
- Qianwen AI Platform: $2.174
- QwenCloud: $2.174

## Features

Supported: Function calling, Image input, Reasoning.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="dashscope/qwen3-vl-32b-thinking",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Qwen3 VL 32B Thinking cost?

Qwen3 VL 32B Thinking costs $0.16 per 1M input tokens and $2.87 per 1M output tokens on Alibaba Cloud Model Studio.

### What is the context window of Qwen3 VL 32B Thinking?

Qwen3 VL 32B Thinking has a 131,072-token context window and returns up to 32,768 tokens per response.

### Which providers offer Qwen3 VL 32B Thinking?

Qwen3 VL 32B Thinking is available from 3 providers through LiteLLM: Alibaba Cloud Model Studio, Qianwen AI Platform and QwenCloud.

### How do I call Qwen3 VL 32B Thinking with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="dashscope/qwen3-vl-32b-thinking", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

### What features does Qwen3 VL 32B Thinking support?

Qwen3 VL 32B Thinking supports function calling, image input and reasoning.

### When did LiteLLM add Qwen3 VL 32B Thinking?

Qwen3 VL 32B Thinking was added to LiteLLM's model price file in March 2026.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json