kimi-k3· Released Jul 16, 2026
moonshotai/kimi-k3
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...
Input
From$2.805/M
Output
From$14.025/M
Context
Up to 1M
Max output
Up to 1M
Modalities
TextImageTextInput and output show the lowest price across upstreams, for reference. Your actual prices are listed per upstream below.
Upstreams & pricing
| Upstream | Context | Max output | Input $/1M | Output $/1M | Cached input $/1M | Data policy |
|---|---|---|---|---|---|---|
Zenlayer AI Gateway-openai_compat/GlobalFrom price | 1M | 1M | $2.805 | $14.025 | $0.2805 | — |
Routed in real time — you pay the listed price of whichever upstream serves your call. Data policies reflect each upstream's own data terms and its agreement with us. We do not independently audit upstream implementations.
How to call
bashrequest.sh
curl https://api.lune.io/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "moonshotai/kimi-k3",
"messages": [
{"role": "user", "content": "Say hello in five words."}
]
}'pythonrequest.py
from openai import OpenAI
import os
client = OpenAI(
api_key=os.environ["API_KEY"],
base_url="https://api.lune.io/v1",
)
resp = client.chat.completions.create(
model="moonshotai/kimi-k3",
messages=[{"role": "user", "content": "Say hello in five words."}],
)
print(resp.choices[0].message.content)tsrequest.ts
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.API_KEY,
baseURL: "https://api.lune.io/v1",
});
const resp = await client.chat.completions.create({
model: "moonshotai/kimi-k3",
messages: [{ role: "user", content: "Say hello in five words." }],
});
console.log(resp.choices[0].message.content);gomain.go
package main
import (
"context"
"fmt"
"os"
"github.com/sashabaranov/go-openai"
)
func main() {
cfg := openai.DefaultConfig(os.Getenv("API_KEY"))
cfg.BaseURL = "https://api.lune.io/v1"
client := openai.NewClientWithConfig(cfg)
resp, err := client.CreateChatCompletion(
context.Background(),
openai.ChatCompletionRequest{
Model: "moonshotai/kimi-k3",
Messages: []openai.ChatCompletionMessage{
{Role: "user", Content: "Say hello in five words."},
},
},
)
if err != nil {
panic(err)
}
fmt.Println(resp.Choices[0].Message.Content)
}