LiteLLMModels

Fw Kimi K2.7 Code API Pricing

As of October 10, 2026, Fw Kimi K2.7 Code costs $1.05 per 1M input tokens and $4.40 per 1M output tokens on Azure AI Foundry, with cache reads at $0.21 per 1M tokens. It has a 262,144-token context window and returns up to 262,144 tokens per response.

Model ID azure_ai/FW-Kimi-K2.7-CodePrices updated Checked
Input
$1.05 / 1M tokens
Output
$4.40 / 1M tokens
Cache read
$0.21 / 1M tokens
Context window
262,144 tokens
Max output
262,144 tokens
Providers
1
Added to LiteLLM
August 14, 2026

Fw Kimi K2.7 Code 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 LiteLLMInputOutputCache readContext
Azure AI Foundryazure_ai/FW-Kimi-K2.7-Code$1.05$4.40$0.21256K

What Fw Kimi K2.7 Code costs in practice

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

Azure AI Foundry$4.30

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

Azure AI Foundry$11.38

Fw Kimi K2.7 Code features

Input: text, image. Output: text.

Use Fw Kimi K2.7 Code with LiteLLM

Call Fw Kimi K2.7 Code 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="azure_ai/FW-Kimi-K2.7-Code",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: fw-kimi-k2.7-code
    litellm_params:
      model: azure_ai/FW-Kimi-K2.7-Code
      # 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": "fw-kimi-k2.7-code",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Fw Kimi K2.7 Code FAQ

How much does Fw Kimi K2.7 Code cost?

Fw Kimi K2.7 Code costs $1.05 per 1M input tokens and $4.40 per 1M output tokens on Azure AI Foundry, with cache reads at $0.21 per 1M tokens.

What is the context window of Fw Kimi K2.7 Code?

Fw Kimi K2.7 Code has a 262,144-token context window and returns up to 262,144 tokens per response.

Which providers offer Fw Kimi K2.7 Code?

Fw Kimi K2.7 Code is available from Azure AI Foundry through LiteLLM, using the model name azure_ai/FW-Kimi-K2.7-Code.

How do I call Fw Kimi K2.7 Code with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="azure_ai/FW-Kimi-K2.7-Code", 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 Fw Kimi K2.7 Code support?

Fw Kimi K2.7 Code supports function calling, image input, reasoning and prompt caching.

When did LiteLLM add Fw Kimi K2.7 Code?

Fw Kimi K2.7 Code was added to LiteLLM's model price file on August 14, 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: Azure AI Foundry.

Provider pages: Azure AI Foundry.