LiteLLMModels

Qwen3 VL 235B A22B Thinking API Pricing

As of October 10, 2026, Qwen3 VL 235B A22B Thinking costs $0.40 per 1M input tokens and $4.00 per 1M output tokens on Alibaba Cloud Model Studio. Across 5 providers on LiteLLM, the input price ranges from $0.22 to $0.98. It has a 131,072-token context window and returns up to 32,768 tokens per response.

By AlibabaModel ID dashscope/qwen3-vl-235b-a22b-thinkingPrices updated Checked
Input
$0.40 / 1M tokens
Output
$4.00 / 1M tokens
Context window
131,072 tokens
Max output
32,768 tokens
Providers
5
Added to LiteLLM
December 2025

Qwen3 VL 235B A22B Thinking 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.

ProviderModel name in LiteLLMInputOutputContext
Alibaba Cloud Model Studiodashscope/qwen3-vl-235b-a22b-thinking$0.40$4.00128K
Fireworks AIfireworks_ai/accounts/fireworks/models/qwen3-vl-235b-a22b-thinking$0.22$0.88256K
Novita AInovita/qwen/qwen3-vl-235b-a22b-thinking$0.98$3.95128K
Qianwen AI Platformqwen_ai_platform/qwen3-vl-235b-a22b-thinking$0.40$4.00128K
QwenCloudqwencloud/qwen3-vl-235b-a22b-thinking$0.40$4.00128K

What Qwen3 VL 235B A22B Thinking costs in practice

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

Alibaba Cloud Model Studio$2.80
Fireworks AI$0.88
Qianwen AI Platform$2.80
QwenCloud$2.80

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

Alibaba Cloud Model Studio$4.80
Fireworks AI$2.376
Qianwen AI Platform$4.80
QwenCloud$4.80

Qwen3 VL 235B A22B Thinking features

Use Qwen3 VL 235B A22B Thinking with LiteLLM

Call Qwen3 VL 235B A22B Thinking 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.

Python SDK
from litellm import completion

response = completion(
    model="dashscope/qwen3-vl-235b-a22b-thinking",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: qwen3-vl-235b-a22b-thinking
    litellm_params:
      model: dashscope/qwen3-vl-235b-a22b-thinking
      # credentials: see the provider's LiteLLM docs page
Call the proxy
curl http://0.0.0.0:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "qwen3-vl-235b-a22b-thinking",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Qwen3 VL 235B A22B Thinking FAQ

How much does Qwen3 VL 235B A22B Thinking cost?

Qwen3 VL 235B A22B Thinking costs $0.40 per 1M input tokens and $4.00 per 1M output tokens on Alibaba Cloud Model Studio. Across 5 providers on LiteLLM, the input price ranges from $0.22 to $0.98.

What is the context window of Qwen3 VL 235B A22B Thinking?

Qwen3 VL 235B A22B Thinking has a 131,072-token context window and returns up to 32,768 tokens per response.

Which providers offer Qwen3 VL 235B A22B Thinking?

Qwen3 VL 235B A22B Thinking is available from 5 providers through LiteLLM: Alibaba Cloud Model Studio, Fireworks AI, Novita AI, Qianwen AI Platform and QwenCloud. The lowest price is on Fireworks AI.

How do I call Qwen3 VL 235B A22B Thinking with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="dashscope/qwen3-vl-235b-a22b-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 235B A22B Thinking support?

Qwen3 VL 235B A22B Thinking supports function calling, image input and reasoning.

When did LiteLLM add Qwen3 VL 235B A22B Thinking?

Qwen3 VL 235B A22B Thinking 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:

LiteLLM docs: Alibaba Cloud Model Studio, Fireworks AI, Qianwen AI Platform.

Provider pages: Alibaba Cloud Model Studio, Fireworks AI, Novita AI, Qianwen AI Platform, QwenCloud.