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Gpt 5.6 Terra
silvamux/
gpt-5.6-terraGPT-5.6 Terra is the knowledge-and-reasoning anchor of the GPT-5.6 family, pairing broad accurate knowledge with careful analysis — suited to translation, customer support and enterprise knowledge bases.
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 | $2 | $12 | $0.2 | $2.5 |
| > 272K tokens | $4 | $18 | $0.4 | $5 |
Capabilities
GPT-5.6 Terra scored 84 overall, performing well — a knowledge and reasoning powerhouse. It stands out in general knowledge (97%), math and science reasoning (96%) and hallucination control (93%), combining encyclopedic coverage with disciplined, low-hallucination output, which makes it dependable for localization, customer support and knowledge-base Q&A. Comparatively, agent collaboration (72%) is moderate; multi-tool workflows need tighter design. Knowledge-dense, accuracy-first tasks are its home turf.
84/ 100
Advanced Capabilities
8 itemsAgent Collaboration72%
18 questions · Mixed
Code Generation77%
12 questions · Objective
Code Comprehension & Debugging85%
6 questions · Mixed
Creative Writing77%
22 questions · Mixed
Information Retrieval / RAG87%
9 questions · Mixed
Long-Context Handling85%
16 questions · Mixed
Math & Science Reasoning96%
14 questions · Mixed
Multilingual Capability92%
11 questions · Subjective
General Foundations
3 itemsGeneral Knowledge97%
10 questions · Mixed
Text Comprehension80%
23 questions · Subjective
Logical Reasoning72%
16 questions · Mixed
Safety & Compliance
2 itemsHallucination Control93%
15 questions · Mixed
Instruction Following84%
18 questions · Subjective
Performance
Gpt 5.6 Terra
gpt-5.6-terraLast 24 hours · 77,589 requests
- First token · TTFT · P50
- 1496ms P95 2187 ms
- Output speed · TPS · P50
- 68tok/s P95 85 tok/s
- Full response · E2E · P50
- 6.34s P95 9.79 s
- Request success rate
- 98.78% 76,643 completed requests
24-hour availability
24 hours ago12 hours agoNow
Gpt 5.6 Terra example code and API
Pro
gpt-5.6-terra/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-terra",
"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-terra",
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-terra\",\"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-terra',
messages: [{ role: 'user', content: 'Hello, please introduce yourself' }],
})
console.log(response.choices[0].message.content)