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Gpt 5.5
silvamux/
gpt-5.5GPT-5.5 is a general-purpose model for complex knowledge work, handling deep analysis, coding tasks and multi-step tool calls — suited to engineering, operations and professional content scenarios.
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 |
|---|---|---|---|---|
| ≤ 270K tokens | $5 | $30 | $0.5 | $5 |
| > 270K tokens | $10 | $45 | $1 | $10 |
Capabilities
GPT-5.5 scored 85 overall — one of the strongest performers in this batch, a versatile model for demanding knowledge work. It stands out in code generation (100%), general knowledge (95%) and math and science reasoning (94%), delivering production-grade code, broad factual coverage and rigorous analysis, which gives it a clear edge in development support, localization and e-commerce copywriting. Comparatively, agent collaboration (68%) is moderate; multi-step tool workflows need tighter orchestration. Its value shows most in reasoning- and knowledge-intensive tasks.
85/ 100
Advanced Capabilities
8 itemsAgent Collaboration68%
18 questions · Mixed
Code Generation100%
12 questions · Objective
Code Comprehension & Debugging78%
6 questions · Mixed
Creative Writing83%
22 questions · Subjective
Information Retrieval / RAG82%
9 questions · Mixed
Long-Context Handling85%
16 questions · Subjective
Math & Science Reasoning94%
14 questions · Mixed
Multilingual Capability90%
11 questions · Subjective
General Foundations
3 itemsGeneral Knowledge95%
10 questions · Mixed
Text Comprehension85%
23 questions · Subjective
Logical Reasoning73%
16 questions · Mixed
Safety & Compliance
2 itemsHallucination Control94%
15 questions · Subjective
Instruction Following80%
18 questions · Subjective
Performance
Gpt 5.5
gpt-5.5Last 24 hours · 61,807 requests
- First token · TTFT · P50
- 2376ms P95 2497 ms
- Output speed · TPS · P50
- 33tok/s P95 78 tok/s
- Full response · E2E · P50
- 7.76s P95 9.27 s
- Request success rate
- 97.10% 60,013 completed requests
24-hour availability
24 hours ago12 hours agoNow
Gpt 5.5 example code and API
Pro
gpt-5.5/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-5.5",
"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-5.5",
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-5.5\",\"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-5.5',
messages: [{ role: 'user', content: 'Hello, please introduce yourself' }],
})
console.log(response.choices[0].message.content)