Kimi K2 7 API Pricing
- Input / output
- $0.95 / $4.00 per 1M tokens
- Cache read
- $0.19 / 1M
- Context
- 256K tokens
- Max output
- 256K tokens
As of October 31, 2026, Kimi K2 7 costs $0.95 per 1M input tokens and $4.00 per 1M output tokens on Databricks, with cache reads at $0.19 and cache writes at $0.95 per 1M tokens. It has a 262,144-token context window and returns up to 262,144 tokens per response.
Kimi K2 7 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 | Cache read | Cache write | Context |
|---|---|---|---|---|---|---|
| Databricks | databricks/databricks-kimi-k2-7 | $0.95 | $4.00 | $0.19 | $0.95 | 256K |
What Kimi K2 7 costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Databricks | $3.90 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Databricks | $10.30 |
Kimi K2 7 cost calculator
At Databricks's price ($0.95 input, $4.00 output per 1M tokens), 10,000 requests a day with 1,000 input and 500 output tokens each cost $29.50 a day, about $885 a month. Change the numbers for your workload, or compare it with other models.
- Per request
- $0.00295
- Per day
- $29.50
- Per month (30 days)
- $885
Kimi K2 7 features
Input: text, image. Output: text.
- Function calling
- Image input
- Reasoning
- Prompt caching
Use Kimi K2 7 with LiteLLM
Call Kimi K2 7 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="databricks/databricks-kimi-k2-7",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: kimi-k2-7
litellm_params:
model: databricks/databricks-kimi-k2-7
# 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 $LITELLM_API_KEY" \
-d '{
"model": "kimi-k2-7",
"messages": [{"role": "user", "content": "Hello!"}]
}'Kimi K2 7 FAQ
How much does Kimi K2 7 cost?
Kimi K2 7 costs $0.95 per 1M input tokens and $4.00 per 1M output tokens on Databricks, with cache reads at $0.19 and cache writes at $0.95 per 1M tokens.
What is the context window of Kimi K2 7?
Kimi K2 7 has a 262,144-token context window and returns up to 262,144 tokens per response.
Which providers offer Kimi K2 7?
Kimi K2 7 is available from Databricks through LiteLLM, using the model name databricks/databricks-kimi-k2-7.
How do I call Kimi K2 7 with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="databricks/databricks-kimi-k2-7", 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 7 support?
Kimi K2 7 supports function calling, image input, reasoning and prompt caching.
When did LiteLLM add Kimi K2 7?
Kimi K2 7 was added to LiteLLM's model price file on October 30, 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. Maintainers update it from each provider's published pricing, and this page is usually rebuilt within 20 minutes of every change. Provider pricing pages:
LiteLLM docs: Databricks.
Provider pages: Databricks.