GPT-5.6 Luna API AI Agent

GPT-5.6 Luna Pricing

An AI agent workload (50K input + 5K output tokens, 100 tasks/day) costs approximately $13.69/month on Qubax.

Why use GPT-5.6 Luna for AI agents on Qubax?

• 🤖Autonomous agents that call APIs and external tools
• 🤖Multi-step reasoning for complex task completion
• 🤖Agent orchestration with LangChain, CrewAI, or custom frameworks
• 🤖Function calling for structured, reliable agent responses

About GPT-5.6 Luna

GPT-5.6 Luna — fast, cost-efficient GPT-5.6 model for high-volume chat, classification, lightweight agentic workflows, multimodal inputs, and prompt caching. Served via OpenRouter and Venice. It supports a 1.1M-token context window and up to 128K output tokens per request. Native capabilities include reasoning, vision, tool calling, structured output, streaming, context caching. On Qubax it is served by 876 independent sellers, so pricing stays competitive and uptime stays high.

GPT-5.6 Luna AI Agent — code example

from openai import OpenAI
import json

client = OpenAI(
    base_url="https://api.qubax.ai/v1",
    api_key="qbx_live_YOUR_KEY",
)

tools = [{
    "type": "function",
    "function": {
        "name": "get_weather",
        "parameters": {"type": "object", "properties": {"city": {"type": "string"}}},
    },
}]

resp = client.chat.completions.create(
    model="gpt-5.6-luna",
    messages=[{"role": "user", "content": "What's the weather in Tokyo?"}],
    tools=tools,
)
call = resp.choices[0].message.tool_calls[0]
print(json.loads(call.function.arguments))  # -> {"city": "Tokyo"}

More OpenAI models on Qubax

GPT-5.6 Luna AI Agent FAQ