Kimi K2 Thinking API Pricing
As of October 10, 2026, Kimi K2 Thinking costs $0.60 per 1M input tokens and $2.50 per 1M output tokens from Azure AI Foundry, the lowest of 9 providers. It has a 262,144-token context window and returns up to 262,144 tokens per response.
azure_ai/kimi-k2-thinking.- Input
- $0.60 / 1M tokens
- Output
- $2.50 / 1M tokens
- Context window
- 262,144 tokens
- Max output
- 262,144 tokens
- Providers
- 9
- Added to LiteLLM
- November 2025
Kimi K2 Thinking pricing by provider
16 listings across 9 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Cache read | Context |
|---|---|---|---|---|---|
| Azure AI Foundry | azure_ai/kimi-k2-thinking | $0.60 | $2.50 | – | 256K |
| Amazon Bedrock | bedrock/moonshotai.kimi-k2-thinking | $0.73 | $3.03 | – | 256K |
| Amazon Bedrock | moonshot.kimi-k2-thinking | $0.60 | $2.50 | – | 256K |
| Amazon Bedrock Mantle | bedrock_mantle/moonshotai.kimi-k2-thinking | $0.60 | $2.50 | – | 256K |
| Baseten | baseten/moonshotai/Kimi-K2-Thinking | $0.60 | $2.50 | – | – |
| Crusoe | crusoe/moonshotai/Kimi-K2-Thinking | $2.50 | $2.50 | – | 256K |
| Fireworks AI | fireworks_ai/accounts/fireworks/models/kimi-k2-thinking | $0.60 | $2.50 | – | 256K |
| GMI Cloud | gmi/moonshotai/Kimi-K2-Thinking | $0.80 | $1.20 | – | 256K |
| Google Vertex AI | vertex_ai/moonshotai/kimi-k2-thinking-maas | $0.60 | $2.50 | $0.06 | 256K |
| Novita AI | novita/moonshotai/kimi-k2-thinking | $0.60 | $2.50 | $0.15 | 256K |
| Amazon Bedrockap-northeast-1 | bedrock/ap-northeast-1/moonshotai.kimi-k2-thinking | $0.73 | $3.03 | – | 256K |
| Amazon Bedrockap-south-1 | bedrock/ap-south-1/moonshotai.kimi-k2-thinking | $0.71 | $2.94 | – | 256K |
| Amazon Bedrocksa-east-1 | bedrock/sa-east-1/moonshotai.kimi-k2-thinking | $0.73 | $3.03 | – | 256K |
| Amazon Bedrockus-east-1 | bedrock/us-east-1/moonshotai.kimi-k2-thinking | $0.60 | $2.50 | – | 256K |
| Amazon Bedrockus-east-2 | bedrock/us-east-2/moonshotai.kimi-k2-thinking | $0.60 | $2.50 | – | 256K |
| Amazon Bedrockus-west-2 | bedrock/us-west-2/moonshotai.kimi-k2-thinking | $0.60 | $2.50 | – | 256K |
What Kimi K2 Thinking costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Azure AI Foundry | $2.45 |
| Amazon Bedrock | $2.45 |
| Amazon Bedrock Mantle | $2.45 |
| Baseten | $2.45 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Azure AI Foundry | $6.50 |
| Amazon Bedrock | $6.50 |
| Amazon Bedrock Mantle | $6.50 |
| Baseten | $6.50 |
Kimi K2 Thinking features
Input: text. Output: text.
- Function calling
- Parallel tool calls
- Structured output
- Image input
- Video input
- Reasoning
- Prompt caching
- Web search
Use Kimi K2 Thinking with LiteLLM
Call Kimi K2 Thinking 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="azure_ai/kimi-k2-thinking",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: kimi-k2-thinking
litellm_params:
model: azure_ai/kimi-k2-thinking
# 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",
"messages": [{"role": "user", "content": "Hello!"}]
}'Kimi K2 Thinking FAQ
How much does Kimi K2 Thinking cost?
Kimi K2 Thinking costs $0.60 per 1M input tokens and $2.50 per 1M output tokens from Azure AI Foundry, the lowest of 9 providers.
What is the context window of Kimi K2 Thinking?
Kimi K2 Thinking has a 262,144-token context window and returns up to 262,144 tokens per response.
Which providers offer Kimi K2 Thinking?
Kimi K2 Thinking is available from 9 providers through LiteLLM: Azure AI Foundry, Amazon Bedrock, Amazon Bedrock Mantle, Baseten, Crusoe, Fireworks AI, GMI Cloud, Google Vertex AI and Novita AI. The lowest price is on Azure AI Foundry.
How do I call Kimi K2 Thinking with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="azure_ai/kimi-k2-thinking", 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 support?
Kimi K2 Thinking supports function calling, parallel tool calls, structured output, reasoning and web search. It does not support image input, video input and prompt caching.
When did LiteLLM add Kimi K2 Thinking?
Kimi K2 Thinking was added to LiteLLM's model price file in November 2025.
Is Kimi K2 Thinking being deprecated?
Azure AI Foundry deprecated azure_ai/kimi-k2-thinking on March 29, 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:
- azure.microsoft.com/en-us/pricing/details/ai-foundry-models/kimi/
- docs.aws.amazon.com/bedrock/latest/userguide/model-card-moonshot-ai-kimi-k2-thinking.html
- fireworks.ai/pricing
- cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing
LiteLLM docs: Azure AI Foundry, Amazon Bedrock, Baseten, Crusoe, Fireworks AI, GMI Cloud.
Provider pages: Azure AI Foundry, Amazon Bedrock, Amazon Bedrock Mantle, Baseten, Crusoe, Fireworks AI, GMI Cloud, Google Vertex AI, Novita AI.
