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Gpt 5.6 Luna
silvamux/
gpt-5.6-lunaGPT-5.6 Luna is the speed-and-cost-efficient model of the GPT-5.6 family — built for batch classification, information extraction, support Q&A and latency-sensitive lightweight workflows.
Pricing
Tiers are determined by the input context length of each request; Tune and Pro share the same tiered prices.
| Input context | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| ≤ 272K tokens | $0.2 | $1.2 | $0.02 | $0.25 |
| > 272K tokens | $0.4 | $1.8 | $0.04 | $0.5 |
Capabilities
GPT-5.6 Luna scored 80 overall, performing well — a fast, cost-efficient member of the GPT-5.6 family. It stands out in general knowledge (93%), long-context handling (88%) and hallucination control (87%), staying accurate over extended documents at a fraction of flagship cost, which suits translation, scriptwriting and e-commerce copy at volume. Comparatively, agent collaboration (61%) is weak; complex tool workflows exceed its reach. High-volume content tasks are where the economics shine.
80/ 100
Advanced Capabilities
8 itemsAgent Collaboration61%
18 questions · Mixed
Code Generation83%
12 questions · Objective
Code Comprehension & Debugging80%
6 questions · Mixed
Creative Writing80%
22 questions · Subjective
Information Retrieval / RAG73%
9 questions · Mixed
Long-Context Handling88%
16 questions · Subjective
Math & Science Reasoning79%
14 questions · Mixed
Multilingual Capability86%
11 questions · Subjective
General Foundations
3 itemsGeneral Knowledge93%
10 questions · Mixed
Text Comprehension84%
23 questions · Subjective
Logical Reasoning72%
16 questions · Mixed
Safety & Compliance
2 itemsHallucination Control87%
15 questions · Subjective
Instruction Following80%
18 questions · Subjective
Performance
Gpt 5.6 Luna
gpt-5.6-lunaLast 24 hours · 149,288 requests
- First token · TTFT · P50
- 965ms P95 2167 ms
- Output speed · TPS · P50
- 95tok/s P95 98 tok/s
- Full response · E2E · P50
- 5.28s P95 7.24 s
- Request success rate
- 99.08% 147,920 completed requests
24-hour availability
24 hours ago12 hours agoNow
Gpt 5.6 Luna example code and API
Pro
gpt-5.6-luna/api/v0/chat/completions/api/v1/responsescurl https://silvamux.io/api/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5.6-luna",
"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="gpt-5.6-luna",
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\":\"gpt-5.6-luna\",\"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: 'gpt-5.6-luna',
messages: [{ role: 'user', content: 'Hello, please introduce yourself' }],
})
console.log(response.choices[0].message.content)