GPT-5.6 Luna

4.90
An efficient GPT-5.6 series model optimized for speed, cost efficiency, and intelligent performance across large-scale AI applications.
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CompanyOpenAI
Context1.1M
Released2026-07
Updated2026-08-04

GPT-5.6 Luna Overview

GPT-5.6 Luna is an efficient, cost-optimized model in the OpenAI GPT-5.6 family, designed for high-volume usage and cost-sensitive AI applications. Compared with the flagship GPT-5.6 Sol, Luna focuses on improved efficiency and scalability while maintaining strong reasoning and problem-solving capabilities.

The model supports advanced text understanding, code generation, knowledge analysis, tool calling, and AI automation workflows. It is designed for enterprise applications, AI Agents, software development, data processing, and large-scale intelligent systems.

With support for long-context processing, GPT-5.6 Luna can handle complex documents, large datasets, and extended workflows, making it suitable for developers and businesses building reliable AI-powered solutions.

GPT-5.6 Luna Pricing

PlanPriceDescription
Free Trial Free Provides access to basic GPT-5.6 Luna capabilities for testing AI conversations, coding assistance, reasoning tasks, and application prototypes. Suitable for individuals and developers exploring AI capabilities.
Paid Plan (API Usage Plan) Usage-based pricing Designed for teams requiring reliable API access, high-volume processing, and commercial AI application deployment.
Enterprise Plan Custom Pricing Provides enterprise-grade AI solutions, including large-scale API integration, team collaboration, security management, system integration, private deployment options, and professional technical support.

GPT-5.6 Luna Key Features

Efficient AI Reasoning: Handles logical analysis, problem solving, and complex workflows with optimized performance.
Coding Assistance: Supports code generation, debugging, software engineering, and development tasks.
AI Agent Capabilities: Enables tool calling, multi-step execution, and automated workflows.
Long Context Understanding: Processes large documents, datasets, and complex information efficiently.
Knowledge Work Support: Helps with research, content creation, analysis, and enterprise knowledge management.
Cost-Optimized Performance: Designed for high-frequency AI applications with improved efficiency and scalability.

Summary

① AI application developers
② Software engineers
③ AI Agent developers
④ Enterprise technology teams
⑤ Data analysts and researchers
⑥ Businesses requiring scalable and cost-efficient AI solutions

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