text
Kimi K2.7 Code
silvamux/
kimi-k2.7-codePricing
Tune and Pro share the same prices.
| Input context | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| - | $1.9 / 1M tokens | $8 / 1M tokens | $0.38 / 1M tokens | $1.9 / 1M tokens |
Capabilities
Evaluation data not available yet
Performance
Kimi K2.7 Code
kimi-k2.7-codeLast 24 hours · 30,620 requests
- First token · TTFT · P50
- 738ms P95 2041 ms
- Output speed · TPS · P50
- 32tok/s P95 84 tok/s
- Full response · E2E · P50
- 7.13s P95 8.98 s
- Request success rate
- 98.94% 30,294 completed requests
24-hour availability
24 hours ago12 hours agoNow
Kimi K2.7 Code example code and API
Pro
kimi-k2.7-code/api/v0/chat/completions/api/v1/chat/completionscurl https://silvamux.io/api/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "kimi-k2.7-code",
"messages": [{"role": "user", "content": "Hello, please introduce yourself"}]
}'# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://silvamux.io/api/v1",
api_key="YOUR_API_KEY",
)
response = client.chat.completions.create(
model="kimi-k2.7-code",
messages=[
{"role": "user", "content": "Hello, please introduce yourself"}
],
)
print(response.choices[0].message.content)// Gradle: implementation(__HL_SLOT_0__)
import okhttp3.*;
OkHttpClient client = new OkHttpClient();
MediaType json = MediaType.get("application/json");
String payload = "{\"model\":\"kimi-k2.7-code\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello, please introduce yourself\"}]}";
Request request = new Request.Builder()
.url("https://silvamux.io/api/v1/chat/completions")
.header("Authorization", "Bearer YOUR_API_KEY")
.post(RequestBody.create(payload, json))
.build();
try (Response response = client.newCall(request).execute()) {
System.out.println(response.body().string());
}// npm install openai
import OpenAI from 'openai'
const client = new OpenAI({
baseURL: 'https://silvamux.io/api/v1',
apiKey: 'YOUR_API_KEY',
})
const response = await client.chat.completions.create({
model: 'kimi-k2.7-code',
messages: [{ role: 'user', content: 'Hello, please introduce yourself' }],
})
console.log(response.choices[0].message.content)