LiteLLMModels

Coding Kimi K3 API Pricing

As of October 10, 2026, Coding Kimi K3 costs $0.44 per 1M input tokens and $1.613 per 1M output tokens on AIHubMix, with cache reads at $0.066 per 1M tokens. It has a 1,048,576-token context window and returns up to 1,048,576 tokens per response.

Model ID aihubmix/coding-kimi-k3Prices updated Checked
Input
$0.44 / 1M tokens
Output
$1.613 / 1M tokens
Cache read
$0.066 / 1M tokens
Context window
1,048,576 tokens
Max output
1,048,576 tokens
Providers
1
Added to LiteLLM
September 16, 2026

Coding Kimi K3 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
AIHubMixaihubmix/coding-kimi-k3$0.44$1.613$0.0661M

What Coding Kimi K3 costs in practice

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

AIHubMix$1.687

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

AIHubMix$4.723

Coding Kimi K3 features

Use Coding Kimi K3 with LiteLLM

Call Coding Kimi K3 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="aihubmix/coding-kimi-k3",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: coding-kimi-k3
    litellm_params:
      model: aihubmix/coding-kimi-k3
      # 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": "coding-kimi-k3",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Coding Kimi K3 FAQ

How much does Coding Kimi K3 cost?

Coding Kimi K3 costs $0.44 per 1M input tokens and $1.613 per 1M output tokens on AIHubMix, with cache reads at $0.066 per 1M tokens.

What is the context window of Coding Kimi K3?

Coding Kimi K3 has a 1,048,576-token context window and returns up to 1,048,576 tokens per response.

Which providers offer Coding Kimi K3?

Coding Kimi K3 is available from AIHubMix through LiteLLM, using the model name aihubmix/coding-kimi-k3.

How do I call Coding Kimi K3 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="aihubmix/coding-kimi-k3", 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 Coding Kimi K3 support?

Coding Kimi K3 supports function calling, structured output, image input, reasoning and prompt caching.

When did LiteLLM add Coding Kimi K3?

Coding Kimi K3 was added to LiteLLM's model price file on September 16, 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: AIHubMix.

Provider pages: AIHubMix.