Qwen3 VL 32B Instruct API Pricing
As of October 10, 2026, Qwen3 VL 32B Instruct costs $0.16 per 1M input tokens and $0.64 per 1M output tokens on Alibaba Cloud Model Studio. Across 5 providers on LiteLLM, the input price ranges from $0.16 to $0.90. It has a 131,072-token context window and returns up to 32,768 tokens per response.
- Input
- $0.16 / 1M tokens
- Output
- $0.64 / 1M tokens
- Context window
- 131,072 tokens
- Max output
- 32,768 tokens
- Providers
- 5
- Added to LiteLLM
- December 2025
Qwen3 VL 32B Instruct pricing by provider
5 listings across 5 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Context |
|---|---|---|---|---|
| Alibaba Cloud Model Studio | dashscope/qwen3-vl-32b-instruct | $0.16 | $0.64 | 128K |
| Fireworks AI | fireworks_ai/accounts/fireworks/models/qwen3-vl-32b-instruct | $0.90 | $0.90 | 4K |
| Qianwen AI Platform | qwen_ai_platform/qwen3-vl-32b-instruct | $0.16 | $0.64 | 128K |
| QwenCloud | qwencloud/qwen3-vl-32b-instruct | $0.16 | $0.64 | 128K |
| Together AI | together_ai/Qwen/Qwen3-VL-32B-Instruct | $0.50 | $1.50 | 256K |
What Qwen3 VL 32B Instruct costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Alibaba Cloud Model Studio | $0.64 |
| Qianwen AI Platform | $0.64 |
| QwenCloud | $0.64 |
| Together AI | $1.75 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Alibaba Cloud Model Studio | $1.728 |
| Qianwen AI Platform | $1.728 |
| QwenCloud | $1.728 |
| Together AI | $5.30 |
Qwen3 VL 32B Instruct features
- Function calling
- Image input
Use Qwen3 VL 32B Instruct with LiteLLM
Call Qwen3 VL 32B Instruct through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="dashscope/qwen3-vl-32b-instruct",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: qwen3-vl-32b-instruct
litellm_params:
model: dashscope/qwen3-vl-32b-instruct
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "qwen3-vl-32b-instruct",
"messages": [{"role": "user", "content": "Hello!"}]
}'Qwen3 VL 32B Instruct FAQ
How much does Qwen3 VL 32B Instruct cost?
Qwen3 VL 32B Instruct costs $0.16 per 1M input tokens and $0.64 per 1M output tokens on Alibaba Cloud Model Studio. Across 5 providers on LiteLLM, the input price ranges from $0.16 to $0.90.
What is the context window of Qwen3 VL 32B Instruct?
Qwen3 VL 32B Instruct has a 131,072-token context window and returns up to 32,768 tokens per response.
Which providers offer Qwen3 VL 32B Instruct?
Qwen3 VL 32B Instruct is available from 5 providers through LiteLLM: Alibaba Cloud Model Studio, Fireworks AI, Qianwen AI Platform, QwenCloud and Together AI. The lowest price is on Alibaba Cloud Model Studio.
How do I call Qwen3 VL 32B Instruct with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="dashscope/qwen3-vl-32b-instruct", 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 Instruct support?
Qwen3 VL 32B Instruct supports function calling and image input.
When did LiteLLM add Qwen3 VL 32B Instruct?
Qwen3 VL 32B Instruct was added to LiteLLM's model price file in December 2025.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:
- www.alibabacloud.com/help/en/model-studio/model-pricing
- www.qwencloud.com/models
- api.together.ai/v1/models
LiteLLM docs: Alibaba Cloud Model Studio, Fireworks AI, Qianwen AI Platform, Together AI.
Provider pages: Alibaba Cloud Model Studio, Fireworks AI, Qianwen AI Platform, QwenCloud, Together AI.
