← All models
Kimi K2 Instruct
moonshotai/
Moonshot model · Served by DeepInfra · live on the gateway
Input / 1M
$0.500
Output / 1M
$2.00
Context
256K tokens
Max output
8K tokens
Input
Text
Released
1y ago
Pricing
Input tokens$0.500 per 1M
Output tokens$2.00 per 1M
Provider list priceExactly what your balance is debited; our fee is charged when you buy credits
About Kimi K2 Instruct
Non-thinking Kimi K2 MoE instruction model for coding and tool-using agents
Tools
What it supports
- Tool calling (function calling)
- JSON mode and structured output
- Image input (vision)
- Audio input
- Extended reasoning
- Streaming responses
- OpenAI SDK, Anthropic SDK and any OpenAI-compatible client
Make a request
curl https://rapidrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $RAPIDROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "moonshotai/kimi-k2-instruct",
"messages": [{ "role": "user", "content": "Hello" }]
}'Frequently asked
How do I call Kimi K2 Instruct through an OpenAI-compatible API?
Point any OpenAI-compatible client at https://rapidrouter.ai/api/v1 with a Rapid Router API key and set the model to moonshotai/kimi-k2-instruct. The chat completions endpoint is https://rapidrouter.ai/api/v1/chat/completions.
What is the context window of Kimi K2 Instruct?
Kimi K2 Instruct has a context window of 256,000 tokens on Rapid Router, and returns up to 8,192 output tokens per reply.
What can Kimi K2 Instruct do?
On Rapid Router, Kimi K2 Instruct supports tool calling, JSON mode.