Kimi K2 Thinking 251104 API Pricing
As of October 10, 2026, Kimi K2 Thinking 251104 is free to use on Volcano Engine. It has a 229,376-token context window and returns up to 32,768 tokens per response.
- Price
- Free
- Context window
- 229,376 tokens
- Max output
- 32,768 tokens
- Providers
- 1
- Added to LiteLLM
- January 2026
Kimi K2 Thinking 251104 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 |
|---|---|---|---|---|
| Volcano Engine | kimi-k2-thinking-251104 | $0 | $0 | 224K |
What Kimi K2 Thinking 251104 costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Volcano Engine | $0 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Volcano Engine | $0 |
Kimi K2 Thinking 251104 features
- Function calling
- Reasoning
- Prompt caching
Use Kimi K2 Thinking 251104 with LiteLLM
Call Kimi K2 Thinking 251104 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="kimi-k2-thinking-251104",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: kimi-k2-thinking-251104
litellm_params:
model: kimi-k2-thinking-251104
# 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": "kimi-k2-thinking-251104",
"messages": [{"role": "user", "content": "Hello!"}]
}'Kimi K2 Thinking 251104 FAQ
How much does Kimi K2 Thinking 251104 cost?
Kimi K2 Thinking 251104 is free to use on Volcano Engine.
What is the context window of Kimi K2 Thinking 251104?
Kimi K2 Thinking 251104 has a 229,376-token context window and returns up to 32,768 tokens per response.
Which providers offer Kimi K2 Thinking 251104?
Kimi K2 Thinking 251104 is available from Volcano Engine through LiteLLM, using the model name kimi-k2-thinking-251104.
How do I call Kimi K2 Thinking 251104 with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="kimi-k2-thinking-251104", 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 Kimi K2 Thinking 251104 support?
Kimi K2 Thinking 251104 supports function calling, reasoning and prompt caching.
When did LiteLLM add Kimi K2 Thinking 251104?
Kimi K2 Thinking 251104 was added to LiteLLM's model price file in January 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.
LiteLLM docs: Volcano Engine.
Provider pages: Volcano Engine.
