LiteLLMModels

Moonshot V1 8K API Pricing

As of October 10, 2026, Moonshot V1 8K costs $0.20 per 1M input tokens and $2.00 per 1M output tokens on Moonshot AI. It has an 8,192-token context window and returns up to 8,192 tokens per response.

By Moonshot AIModel ID moonshot/moonshot-v1-8kPrices updated Checked
Input
$0.20 / 1M tokens
Output
$2.00 / 1M tokens
Context window
8,192 tokens
Max output
8,192 tokens
Providers
1
Added to LiteLLM
July 2025

Moonshot V1 8K 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.

ProviderModel name in LiteLLMInputOutputContext
Moonshot AImoonshot/moonshot-v1-8k$0.20$2.008K

What Moonshot V1 8K costs in practice

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

Moonshot AI$1.40

Moonshot V1 8K features

Use Moonshot V1 8K with LiteLLM

Call Moonshot V1 8K 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="moonshot/moonshot-v1-8k",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: moonshot-v1-8k
    litellm_params:
      model: moonshot/moonshot-v1-8k
      api_key: os.environ/MOONSHOT_API_KEY
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": "moonshot-v1-8k",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Moonshot V1 8K FAQ

How much does Moonshot V1 8K cost?

Moonshot V1 8K costs $0.20 per 1M input tokens and $2.00 per 1M output tokens on Moonshot AI.

What is the context window of Moonshot V1 8K?

Moonshot V1 8K has an 8,192-token context window and returns up to 8,192 tokens per response.

Which providers offer Moonshot V1 8K?

Moonshot V1 8K is available from Moonshot AI through LiteLLM, using the model name moonshot/moonshot-v1-8k.

How do I call Moonshot V1 8K with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="moonshot/moonshot-v1-8k", 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 8K support?

Moonshot V1 8K supports function calling and structured output.

When did LiteLLM add Moonshot V1 8K?

Moonshot V1 8K 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.