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OpenAI model on ScaleMax

GPT-5.6 Luna API

Call GPT-5.6 Luna with the model ID gpt-5.6-luna through ScaleMax's OpenAI-compatible API. It costs $0.522 per million input tokens and $3.132 per million output tokens, prepaid, with no subscription.

Low price · Reads images · 1M context

Get an API keySee the code
Model ID
gpt-5.6-luna
Maker
OpenAI
Input / 1M tokens
$0.522
Output / 1M tokens
$3.132
Context window
1,050,000 tokens
Max output
128,000 tokens

GPT-5.6 Luna pricing

ScaleMax publishes one customer rate per model and deducts each completed request from your prepaid balance at that rate: $0.522 per 1M input tokens and $3.132 per 1M output tokens for GPT-5.6 Luna.

What typical requests cost at the standard rate (token counts are illustrative sizes):

RequestSizeCost per requestPer $25 of credit
Chat reply2,000 tokens in, 600 out$0.00292about 8,552 requests
Coding-agent step40,000 tokens in (files + history), 2,000 out$0.027about 921 requests
Long-document pass200,000 tokens in, 4,000 out$0.117about 213 requests

The Starter credit pack costs $2.50 and adds $25 of usage credit (larger packs add more per dollar — see how pricing works). Prompt-cache reads, where the model supports caching, can bill below the input rate.

Pay by UPI, PayU or Cashfree (UPI, cards, net banking), Cryptomus (crypto) or PayPal. Prices on this page are in US dollars; India checkout shows rupees. See what ₹1,000 buys for token packs.

How to call GPT-5.6 Luna

Create a key in the dashboard, export it as SCALEMAX_API_KEY, and send gpt-5.6-luna as the model. OpenAI-compatible clients use the base URL https://api.scalemax.pro/v1. Token pack keys use /token/v1 instead of /v1.

curl · Chat Completions
curl https://api.scalemax.pro/v1/chat/completions \
  -H "Authorization: Bearer $SCALEMAX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.6-luna",
    "messages": [{"role": "user", "content": "Explain this error in one line."}],
    "max_tokens": 300
  }'
Python · OpenAI SDK
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.scalemax.pro/v1",
    api_key=os.environ["SCALEMAX_API_KEY"],
)

reply = client.chat.completions.create(
    model="gpt-5.6-luna",
    messages=[{"role": "user", "content": "Explain this error in one line."}],
    max_tokens=300,
)
print(reply.choices[0].message.content)
Node · OpenAI Responses API
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.scalemax.pro/v1",
  apiKey: process.env.SCALEMAX_API_KEY,
});

const response = await client.responses.create({
  model: "gpt-5.6-luna",
  input: "Explain this error in one line.",
  max_output_tokens: 300,
});
console.log(response.output_text);

Keep the key server-side. Call GET /v1/models with your key to see every model it can use; the quick start covers errors and streaming.

Capabilities and limits

  • Context window: 1,050,000 tokens (1.05M-token).
  • Maximum output: 128,000 tokens per response.
  • Supports: Reads images, Tool / function calling, Reasoning effort control, Responses API.
  • Streaming: server-sent events on every route.

Works in

Codex CLI connects over the Responses route. Cursor, Cline, Roo Code, Kilo Code, OpenCode, Continue, Aider, Zed and Hermes Agent connect over the OpenAI-compatible route. Setup steps for each are on the integrations page.

Other OpenAI models

ModelModel IDInput / 1MOutput / 1MContext
GPT-5.6 Lunagpt-5.6-luna$0.522$3.1321,050,000
GPT-6 Lunagpt-6-luna$0.10$0.501,050,000
GPT-6 Solgpt-6-sol$2$101,050,000
GPT-6.1 Solgpt-6.1-sol$2$101,050,000
GPT-5.6 Terragpt-5.6-terra$2$121,050,000

Lower-cost alternatives

Models from other makers with a lower output rate. Quality differs by task — test on your own prompts before switching.

ModelModel IDInput / 1MOutput / 1MContext
Gemini 3 Flash Previewgemini-3-flash-preview$0.50$31,050,000
Gemini 3.1 Flash Lite Previewgemini-3.1-flash-lite-preview$0.25$1.501,050,000
Gemini 3.5 Flash Litegemini-3.5-flash-lite$0.25$1.501,050,000

All models, with their IDs and rates, are on the model list.

GPT-5.6 Luna API questions

What is the API model ID for GPT-5.6 Luna?

Use gpt-5.6-luna. Send it as the "model" field to https://api.scalemax.pro/v1/chat/completions.

How much does the GPT-5.6 Luna API cost?

$0.522 per 1M input tokens and $3.132 per 1M output tokens at the published ScaleMax rate. A Pay as you go key is prepaid: each completed request is deducted from your credit.

What is the context window of GPT-5.6 Luna?

1,050,000 tokens, with up to 128,000 output tokens per response.

Can I use GPT-5.6 Luna in Cursor, Cline or Roo Code?

Yes. Add ScaleMax as an OpenAI-compatible provider with the base URL https://api.scalemax.pro/v1 and the model ID gpt-5.6-luna. Your key must include this model.

Can I pay for GPT-5.6 Luna from India in rupees?

Yes. ScaleMax is prepaid and checkout accepts UPI, cards and net banking in INR, as well as crypto. There is no subscription.

Use GPT-5.6 Luna in your tools

Start calling GPT-5.6 Luna

Get a prepaid key, copy the model ID, and send your first request in a couple of minutes.

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