Qwen3.7 Max API Pricing

As of October 10, 2026, Qwen3.7 Max costs $2.50 per 1M input tokens and $7.50 per 1M output tokens on Alibaba Cloud Model Studio, with cache reads at $0.50 per 1M tokens. Across 6 providers on LiteLLM, the input price ranges from $1.25 to $2.50. It has a 991,808-token context window and returns up to 65,536 tokens per response.

By AlibabaModel ID dashscope/qwen3.7-maxPrices updated October 10, 2026Checked October 10, 2026

Input: $2.50 / 1M tokens
Output: $7.50 / 1M tokens
Cache read: $0.50 / 1M tokens
Context window: 991,808 tokens
Max output: 65,536 tokens
Providers: 6
Added to LiteLLM: July 29, 2026

Qwen3.7 Max pricing by provider

6 listings across 6 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	Cache read	Context
Alibaba Cloud Model Studio	`dashscope/qwen3.7-max`	$2.50	$7.50	$0.50	992K
DeepInfra	`deepinfra/Qwen/Qwen3.7-Max`	$2.50	$7.50	$0.50	256K
Novita AI	`novita/qwen/qwen3.7-max`	$1.25	$3.75	$0.25	1M
Qianwen AI Platform	`qwen_ai_platform/qwen3.7-max`	$2.50	$7.50	$0.50	992K
QwenCloud	`qwencloud/qwen3.7-max`	$2.50	$7.50	$0.50	992K
Together AI	`together_ai/Qwen/Qwen3.7-Max`	$2.50	$7.50	$0.50	1M

What Qwen3.7 Max costs in practice

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

Alibaba Cloud Model Studio	$8.75
Novita AI	$4.375
DeepInfra	$8.75
Qianwen AI Platform	$8.75

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

Alibaba Cloud Model Studio	$26.50
Novita AI	$13.25
DeepInfra	$26.50
Qianwen AI Platform	$26.50

Qwen3.7 Max features

Function calling
Structured output
Reasoning
Prompt caching

Use Qwen3.7 Max with LiteLLM

Call Qwen3.7 Max 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/qwen3.7-max",
    messages=[{"role": "user", "content": "Hello!"}],
)

Proxy config.yaml

model_list:
  - model_name: qwen3.7-max
    litellm_params:
      model: dashscope/qwen3.7-max
      # 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": "qwen3.7-max",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Qwen3.7 Max FAQ

How much does Qwen3.7 Max cost?

Qwen3.7 Max costs $2.50 per 1M input tokens and $7.50 per 1M output tokens on Alibaba Cloud Model Studio, with cache reads at $0.50 per 1M tokens. Across 6 providers on LiteLLM, the input price ranges from $1.25 to $2.50.

What is the context window of Qwen3.7 Max?

Qwen3.7 Max has a 991,808-token context window and returns up to 65,536 tokens per response.

Which providers offer Qwen3.7 Max?

Qwen3.7 Max is available from 6 providers through LiteLLM: Alibaba Cloud Model Studio, DeepInfra, Novita AI, Qianwen AI Platform, QwenCloud and Together AI. The lowest price is on Novita AI.

How do I call Qwen3.7 Max with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="dashscope/qwen3.7-max", 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 Qwen3.7 Max support?

Qwen3.7 Max supports function calling, structured output, reasoning and prompt caching.

When did LiteLLM add Qwen3.7 Max?

Qwen3.7 Max was added to LiteLLM's model price file on July 29, 2026.

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, DeepInfra, Qianwen AI Platform, Together AI.

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