Moonshot V1 32K API Pricing
As of October 10, 2026, Moonshot V1 32K costs $1.00 per 1M input tokens and $3.00 per 1M output tokens on Moonshot AI. It has a 32,768-token context window and returns up to 32,768 tokens per response.
- Input
- $1.00 / 1M tokens
- Output
- $3.00 / 1M tokens
- Context window
- 32,768 tokens
- Max output
- 32,768 tokens
- Providers
- 1
- Added to LiteLLM
- July 2025
Moonshot V1 32K pricing by provider
1 listing across 1 provider. 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 |
|---|---|---|---|---|
| Moonshot AI | moonshot/moonshot-v1-32k | $1.00 | $3.00 | 32K |
What Moonshot V1 32K costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Moonshot AI | $3.50 |
Moonshot V1 32K features
- Function calling
- Structured output
Use Moonshot V1 32K with LiteLLM
Call Moonshot V1 32K 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="moonshot/moonshot-v1-32k",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: moonshot-v1-32k
litellm_params:
model: moonshot/moonshot-v1-32k
api_key: os.environ/MOONSHOT_API_KEYcurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "moonshot-v1-32k",
"messages": [{"role": "user", "content": "Hello!"}]
}'Moonshot V1 32K FAQ
How much does Moonshot V1 32K cost?
Moonshot V1 32K costs $1.00 per 1M input tokens and $3.00 per 1M output tokens on Moonshot AI.
What is the context window of Moonshot V1 32K?
Moonshot V1 32K has a 32,768-token context window and returns up to 32,768 tokens per response.
Which providers offer Moonshot V1 32K?
Moonshot V1 32K is available from Moonshot AI through LiteLLM, using the model name moonshot/moonshot-v1-32k.
How do I call Moonshot V1 32K with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="moonshot/moonshot-v1-32k", 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 Moonshot V1 32K support?
Moonshot V1 32K supports function calling and structured output.
When did LiteLLM add Moonshot V1 32K?
Moonshot V1 32K was added to LiteLLM's model price file in July 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: Moonshot AI.
Provider pages: Moonshot AI.
