OpenLuxGPT-5.6 Sol API
GPT-5.6 Sol is the value tier of the GPT-5.6 family: production-grade chat quality at $0.1838 per million tokens — 96% below list pricing — on the same OpenAI-compatible endpoint as every other OpenLux model.
Pay-as-you-go rate
$0.1838 / 1M tokens
-96% vs official list pricing. Billed in USD, metered per request with real-time cost in the console.
Access
One OpenLux key and the OpenAI-compatible endpoint: set base_url to https://openlux.lol/v1 and pass gpt-5.6-sol as the model.
Get started
Create a key in the console, then follow the five-minute docs for streaming, tools and error codes.
What GPT-5.6 Sol delivers
Sol balances quality, speed and cost for high-volume production traffic: support assistants, summarisation pipelines, classification at scale and customer chat — workloads that need reliability rather than the deepest reasoning.
It is the natural companion to gpt-6-astra. Route complex, low-volume requests to the flagship and everything else to Sol, with both models on one key, one bill and one set of usage logs. Switching between them is a one-word change to the model field.
Like the rest of the catalogue, Sol is metered pay as you go with per-request cost visible in the console. You can start on a small top-up and scale traffic without renegotiating anything.
Call GPT-5.6 Sol in minutes
Every OpenLux model speaks the OpenAI protocol. Reuse your existing SDKs and replace two values: the base URL and the API key.
cURL
curl https://openlux.lol/v1/chat/completions \
-H "Authorization: Bearer $OPENLUX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5.6-sol",
"messages": [{"role": "user", "content": "Summarise this customer thread in three bullet points and draft a friendly reply."}]
}'Python (OpenAI SDK)
from openai import OpenAI
client = OpenAI(
api_key="sk-openlux-...",
base_url="https://openlux.lol/v1",
)
resp = client.chat.completions.create(
model="gpt-5.6-sol",
messages=[{"role": "user", "content": "Summarise this customer thread in three bullet points and draft a friendly reply."}],
)
print(resp.choices[0].message.content)Node.js (OpenAI SDK)
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.OPENLUX_API_KEY,
baseURL: "https://openlux.lol/v1",
});
const resp = await client.chat.completions.create({
model: "gpt-5.6-sol",
messages: [{ role: "user", content: "Summarise this customer thread in three bullet points and draft a friendly reply." }],
});
console.log(resp.choices[0].message.content);Where GPT-5.6 Sol fits
Production economics
$0.1838 per 1M tokens keeps unit costs predictable as request volume grows.
Chat and tools
Function calling for assistants, workflow automation and structured extraction.
Vision input
Image understanding on the same endpoint — no separate vision model required.
Streaming
Streamed output keeps chat interfaces and long responses responsive.
Support automation
First-line assistants that resolve common tickets and escalate the rest with full context.
Content pipelines
Summaries, rewrites and tagging at volume, where cost per item decides whether the pipeline is viable.
Internal copilots
Document Q&A and operations assistants that need dependable answers at low cost.
How gpt-5.6-sol is priced on OpenLux
GPT-5.6 Sol is metered pay as you go at $0.1838 / 1M tokens (-96% vs official rates). There is no subscription requirement for API access: top up a balance, call the model, and see the cost of every request in the console.
| Model | Provider | Rate | Discount |
|---|---|---|---|
| gpt-5.6-sol (this model) | OpenAI | $0.1838 / 1M tokens | -96% |
| gpt-6-astra | OpenAI | $0.3677 / 1M tokens | -96% |
| gemini-3.8-flash | $0.0551 / 1M tokens | -92% | |
| claude-sonnet-4-5-20250929 | Anthropic | $0.2647 / 1M tokens | -91% |
Rates follow official provider pricing and are shown in USD. See the full model catalogue and pricing plans for credit allowances.
GPT-5.6 Sol questions
How much does gpt-5.6-sol cost on OpenLux?
$0.1838 per 1 million tokens, 96% below the official list rate, metered pay as you go. The console shows cost per request so you can track unit economics per feature.
How do I switch my code to gpt-5.6-sol?
If you already use the OpenAI SDK, set base_url to https://openlux.lol/v1, use an OpenLux key and set the model field to gpt-5.6-sol. Everything else stays the same.
When should I pick Sol over Astra?
Sol is the right default for high-volume traffic where cost per request dominates: support, summarisation and classification. Move a request to Astra when the task needs deeper multi-step reasoning or feeds a critical decision.
Does Sol support streaming and tool calling?
Yes. Streamed responses and standard function calling are both supported, and images can be included in messages on models that accept vision input.
Start calling GPT-5.6 Sol today
Create an OpenLux key and send your first request in minutes. Compare GPT-5.6 Sol with the rest of the catalogue on the same endpoint and the same bill.