Qwen3.7 Plus API Pricing
As of October 10, 2026, Qwen3.7 Plus costs $0.282 per 1M input tokens and $1.128 per 1M output tokens from AIHubMix, the lowest of 6 providers, with cache reads at $0.0564 and cache writes at $0.3525 per 1M tokens. It has a 1,000,000-token context window and returns up to 131,072 tokens per response.
- Input
- $0.282 / 1M tokens
- Output
- $1.128 / 1M tokens
- Cache read
- $0.0564 / 1M tokens
- Context window
- 1,000,000 tokens
- Max output
- 131,072 tokens
- Providers
- 6
- Added to LiteLLM
- June 2026
Qwen3.7 Plus pricing by provider
7 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 | Cache write | Context |
|---|---|---|---|---|---|---|
| AIHubMix | aihubmix/qwen3.7-plus | $0.282 | $1.128 | $0.0564 | $0.3525 | 1M |
| Alibaba Cloud Model Studio | dashscope/qwen3.7-plus | – | – | – | – | 992K |
| Fireworks AI | fireworks_ai/accounts/fireworks/models/qwen3p7-plus | $0.40 | $1.60 | $0.08 | – | 256K |
| Fireworks AI | fireworks_ai/qwen3p7-plus | $0.40 | $1.60 | $0.08 | – | 256K |
| Qianwen AI Platform | qwen_ai_platform/qwen3.7-plus | – | – | – | – | 992K |
| QwenCloud | qwencloud/qwen3.7-plus | – | – | – | – | 992K |
| Together AI | together_ai/Qwen/Qwen3.7-Plus | $0.32 | $1.28 | – | – | 1M |
What Qwen3.7 Plus costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| AIHubMix | $1.128 |
| Together AI | $1.28 |
| Fireworks AI | $1.60 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| AIHubMix | $3.046 |
| Together AI | $3.456 |
| Fireworks AI | $4.32 |
Qwen3.7 Plus features
- Function calling
- Structured output
- Image input
- Reasoning
- Prompt caching
- Web search
Use Qwen3.7 Plus with LiteLLM
Call Qwen3.7 Plus 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="aihubmix/qwen3.7-plus",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: qwen3.7-plus
litellm_params:
model: aihubmix/qwen3.7-plus
# 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": "qwen3.7-plus",
"messages": [{"role": "user", "content": "Hello!"}]
}'Qwen3.7 Plus FAQ
How much does Qwen3.7 Plus cost?
Qwen3.7 Plus costs $0.282 per 1M input tokens and $1.128 per 1M output tokens from AIHubMix, the lowest of 6 providers, with cache reads at $0.0564 and cache writes at $0.3525 per 1M tokens.
What is the context window of Qwen3.7 Plus?
Qwen3.7 Plus has a 1,000,000-token context window and returns up to 131,072 tokens per response.
Which providers offer Qwen3.7 Plus?
Qwen3.7 Plus is available from 6 providers through LiteLLM: AIHubMix, Alibaba Cloud Model Studio, Fireworks AI, Qianwen AI Platform, QwenCloud and Together AI. The lowest price is on AIHubMix.
How do I call Qwen3.7 Plus with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="aihubmix/qwen3.7-plus", 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 Plus support?
Qwen3.7 Plus supports function calling, structured output, image input, reasoning, prompt caching and web search.
When did LiteLLM add Qwen3.7 Plus?
Qwen3.7 Plus was added to LiteLLM's model price file in June 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:
- www.alibabacloud.com/help/en/model-studio/models
- aihubmix.com/api/v1/models
- api.fireworks.ai/v1/serverless/models
- www.qwencloud.com/models
LiteLLM docs: AIHubMix, Alibaba Cloud Model Studio, Fireworks AI, Qianwen AI Platform, Together AI.
Provider pages: AIHubMix, Alibaba Cloud Model Studio, Fireworks AI, Qianwen AI Platform, QwenCloud, Together AI.
