GPT-6 Luna

OpenAI GPT-6 model for low-cost, high-volume and well-defined automation workloads

Published
scheduleReleased:September 22, 2026

GPT-6 Luna is an OpenAI general-purpose model for high-volume support, summarization, extraction, classification and cost-sensitive automation.

starsCapabilities

visibilityVision understandingcodeFunction callingdata_objectStructured output

paymentsContext and pricing

Context limit1,050,000
Max output128,000
Knowledge cutoff2026-05-18
Input price$0.1/ 1M tokens
Output price$0.5/ 1M tokens
Cached input price$0.01/ 1M tokens

descriptionOverview

Overview

GPT-6 Luna is a general-purpose model in the official OpenAI model catalog, with model ID gpt-6-luna. It should be evaluated for text understanding, generation, coding assistance, structured processing and multimodal product capabilities rather than single-purpose image generation, transcription or TTS.

Best for

Use GPT-6 Luna as a core candidate for assistants, complex Q&A, coding, long-form analysis, workflow automation and vision-enabled applications. Before production, compare context length, pricing, latency, tool support and real output quality.

Official pricing and availability

GPT-6 Luna launched on September 22, 2026 with API model ID gpt-6-luna. Standard pricing is $0.10 per million input tokens, $0.01 per million cached input tokens and $0.50 per million output tokens. OpenAI describes these as long-term prices rather than a limited promotion.

lightbulbUse cases

  • Assistants and complex Q&A
  • Code generation and code review
  • Content generation, summarization and rewriting
  • Structured extraction and automation

thumb_upStrengths

  • Useful for general production workloads
  • Covers text understanding and generation
  • Easy to compare with smaller variants
  • Good core model for agent and tool workflows

infoLimitations

  • Capabilities and pricing depend on official OpenAI documentation
  • Higher-quality models usually cost more and add latency
  • Complex workflows still need prompts, tools and evaluation
  • Not a replacement for dedicated image, transcription or TTS models

linkReferences

This content is compiled from official documentation and public sources. Always refer to official documentation for final details