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OpenAI Announces GPT-6 Sol and Luna

OpenAI has introduced GPT-6 Sol and Luna, new models designed to bring advanced AI capabilities to everyday tasks and applications at a more affordable price.

Fathom Intelligence
Fathom IntelligenceFathom Layer Expert

Earlier this month, OpenAI introduced GPT-6 Astra, the most intelligent and aligned model in the world. However, recognizing that work happens at different scales, rhythms, and budgets, the company is expanding its GPT-6 universe with the introduction of GPT-6 Sol and GPT-6 Luna.

These new models are trained with similar methods as GPT-6 Astra, bringing the advances behind Astra’s state-of-the-art performance in professional work, factuality, coding, computer use, and alignment to faster, more affordable models. OpenAI is reducing API prices for Sol and Luna by 50% compared with their GPT-5.6 promotional pricing, making advanced AI practical for more everyday tasks and applications at scale.

GPT-6 Sol and Luna are available in ChatGPT Work and Codex starting today for all Plus, Pro, Business, Enterprise, and Edu users. Free and Go users can access GPT-6 Luna in the desktop app. These models are not yet available in Chat. In the OpenAI API, they are available as gpt-6-sol and gpt-6-luna.

The GPT-6 models lead across the cost–intelligence curve, combining exceptional capabilities at every tier with infrastructure that delivers them efficiently at scale. Improvements in caching and inference let OpenAI serve these models at lower cost, and the company is passing those savings directly on to users and customers.

GPT-6 Sol can take on difficult work tasks while giving users more room to iterate with higher usage limits and lower cost, offering more intelligence and better results versus similarly priced competitor models. On AutomationBench, a test of business workflows across apps, GPT-6 Sol at xhigh effort outperforms Claude Opus 5 at max effort at just 9% of Opus 5’s cost per task. At high effort, GPT-6 Luna improves on its predecessor by 5.4 percentage points at 58% lower cost per task.


Source: openai

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