Models / GPT-5.6 Sol
GPT-5.6 Sol
OpenAI · gpt-5.6-sol
Best value
Overview
Flagship GPT-5.6 model for coding and agentic work.
GPT-5.6 Sol is the flagship of OpenAI's GPT-5.6 series and the strongest general-purpose choice for command-line work, multi-step coding and tool-driven agents. Reasoning effort scales from none to max, so the same model serves both low-latency chat and deep analysis. It handles text, images and files across a 1.05-million-token context window.
Capabilities
Call this model
curl https://open-gray.com/api/v1/chat/completions \
-H "Authorization: Bearer sk-og-v1-..." \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5.6-sol",
"messages": [
{ "role": "user", "content": "Summarise our Q3 revenue drivers." }
]
}'
from openai import OpenAI
client = OpenAI(
base_url="https://open-gray.com/api/v1",
api_key="sk-og-v1-...",
)
response = client.chat.completions.create(
model="gpt-5.6-sol",
messages=[
{"role": "user", "content": "Summarise our Q3 revenue drivers."}
],
)
print(response.choices[0].message.content)
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://open-gray.com/api/v1",
apiKey: "sk-og-v1-...",
});
const response = await client.chat.completions.create({
model: "gpt-5.6-sol",
messages: [
{ role: "user", content: "Summarise our Q3 revenue drivers." },
],
});
console.log(response.choices[0].message.content);
<?php
$payload = [
'model' => 'gpt-5.6-sol',
'messages' => [
['role' => 'user', 'content' => 'Summarise our Q3 revenue drivers.'],
],
];
$ch = curl_init('https://open-gray.com/api/v1/chat/completions');
curl_setopt_array($ch, [
CURLOPT_POST => true,
CURLOPT_RETURNTRANSFER => true,
CURLOPT_HTTPHEADER => [
'Authorization: Bearer sk-og-v1-...',
'Content-Type: application/json',
],
CURLOPT_POSTFIELDS => json_encode($payload),
]);
$body = json_decode(curl_exec($ch), true);
echo $body['choices'][0]['message']['content'];
Pass "stream": true for server-sent events.
Worked example
A request with a 20,000-token prompt and a 2,000-token answer on GPT-5.6 Sol:
| Input 20,000 tokens | 10.00 cr |
| Output 2,000 tokens | 6.00 cr |
| Total charged | 16.00 cr / $0.16 |
|---|