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GPT-6 Sol and Luna Overview

Two AI models balancing frontier intelligence with cost efficiency for everyday work

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GPT-6 Sol and Luna is a Large Language Models (LLMs) tool. Two AI models balancing frontier intelligence with cost efficiency for everyday work. Key features include Two Model Tiers, 50% Lower API Pricing, and Improved Factual Accuracy. Best for software developers and engineers, data scientists and analysts and content creators.

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About GPT-6 Sol and Luna

GPT-6 Sol and Luna are large language models from OpenAI that bring GPT-6 Astra's intelligence to more affordable tiers. Sol handles complex coding and professional tasks, while Luna excels at high-volume clerical work like summarizing and data extraction.

Key Features

Two Model Tiers.

Sol is built for complex tasks like coding and agentic workflows, while Luna targets fast, high-volume tasks like summarizing documents and answering quick questions.

50% Lower API Pricing.

Sol costs $2 per million input tokens and $10 per million output tokens. Luna costs just $0.10 input and $0.50 output, half the price of their GPT-5.6 predecessors.

Improved Factual Accuracy.

GPT-6 Sol makes about half as many mistakes as GPT-5.6 Sol on internal factuality tests. Luna at higher effort levels matches GPT-5.6 Sol's reliability at a hundredth of the cost.

Strong Coding Performance.

Sol scores 68.8% on DeepSWE software engineering benchmarks, approaching Claude Fable 5's 69.9% at roughly 80% lower cost per task. Both models show gains in coding and computer use.

Advanced Prompt Caching.

Cached input reads get a 90% discount. You can adjust reasoning effort and toggle tools mid-conversation without breaking the cache, making agents faster and cheaper to run.

Wide Availability.

Both models are available via API and in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise, and Edu users. Free and Go users can access Luna in the desktop app.

Frequently Asked Questions

Sol is designed for complex work like coding, debugging, and agentic tasks that need careful reasoning. Luna is optimized for speed and high-volume clerical work like summarizing documents, extracting information, and answering quick questions. Sol costs more but offers stronger reasoning, while Luna is the cheapest model in the GPT-6 family.

GPT-6 Sol costs $2 per million input tokens and $10 per million output tokens. GPT-6 Luna costs $0.10 per million input tokens and $0.50 per million output tokens. Both are priced at 50% of their GPT-5.6 predecessors, and cached input reads get a 90% discount.

Both models are available through the OpenAI API. In ChatGPT, they're available in Work and Codex for Plus, Pro, Business, Enterprise, and Edu users. Free and Go users can access GPT-6 Luna through the ChatGPT desktop app. Enterprise administrators need to enable the models in their settings.

GPT-6 Astra remains OpenAI's most powerful model for the hardest tasks. Sol brings much of Astra's intelligence to a more affordable tier, making it better for everyday coding and professional work where you need to iterate more or handle higher volume. Sol costs about one-fifth of Astra's price.

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