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GPT-5.6 Luna: High Performance at an Affordable Scale

GPT-5.6 Luna is the most cost-efficient model in OpenAI’s GPT-5.6 family, designed to deliver accessible intelligence for everyday work. It is engineered to enable you to run complex, agentic workflows with fewer tokens.

Luna outperforms Claude Opus 4.8 at roughly one-quarter the estimated cost. It nearly matches the peak performance of GPT-5.5, making it an ideal choice for scaling high-volume code generation and technical operations.

Key Technical Specs of GPT-5.6 Luna

• Context Window: Up to 1,050,000 tokens
• Max Output: 128,000 tokens
• Knowledge Cutoff: Feb 16, 2026
• API Input Pricing: $1.00 / 1M tokens
• API Output Pricing: $6.00 / 1M tokens
• Cached Input: $0.1 / 1M tokens

Main Features of GPT-5.6 Luna

Cost-Efficiency and Token Optimization

GPT-5.6 Luna delivers maximum value per dollar. Compared with Claude Opus 4.8, Luna requires half the output tokens and only one-third of the time to complete complex tasks, making it effective for production-level workloads.

High-Capability Coding

Despite being the most economical model in the GPT-5.6 family, Luna punches well above its weight class in software engineering. It excels at processing complex command-line workflows, allowing developers to build robust coding agents.

Desktop-Grade Knowledge Work

GPT-5.6 Luna brings agentic capabilities to everyday productivity tools. It efficiently navigates multi-step workflows, extracts vital insights from complex documents, and converts messy corporate data into professional, ready-to-use artifacts.

Comparison of GPT-5.6 Series