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    AI Tools•1 min read•Published 23/09/2026•Updated 27/09/2026•By EveryCatch

    GPT-6 sol and GPT-6 luna now available in AI agent and GPT actions

    OpenAI's newest models, GPT-6 Sol and GPT-6 Luna, are now available in the AI Agent action and the GPT action in Workflows.

    GPT-6 sol and GPT-6 luna now available in AI agent and GPT actions

    Overview

    OpenAI's newest models, GPT-6 Sol and GPT-6 Luna, are now available in the AI Agent action and the GPT action in Workflows. They replace the GPT-5.6 models, with more accurate outputs, cleaner responses, and pricing that is 50 percent lower.

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    What changed

    GPT-6 sol: the model for complex work. It is built for multi-step agent tasks, business workflows that span multiple apps, and decisions that need careful reasoning. GPT-6 sol makes roughly half as many factual mistakes as GPT-5.6 sol.

    GPT-6 Luna: The fast, efficient model for high-volume tasks such as classification, summaries, tagging, and quick replies. At higher effort settings, GPT-6 Luna matches GPT-5.6 Sol on factual accuracy at a fraction of the cost.

    Model Selection: Both models appear in the Model dropdown of the AI Agent action and the GPT action.

    Screenshot 2026-09-23 at 8 Screenshot 2026-09-23 at 8

    How to Use

    1. Add or open an AI Agent action or a GPT action in your workflow.
    2. Open the Model dropdown.
    3. Select GPT-6 Sol for complex tasks or GPT-6 Luna for fast, high-volume tasks.
    4. Save and publish your workflow.

    Why this matters

    Better results on real business workflows: On OpenAI's benchmarks for end-to-end workflows across sales, marketing, support, and operations, both models outperform their GPT-5.6 predecessors. GPT-6 Luna delivers better results at up to 58 percent lower cost per task.

    Cleaner outputs: Responses are clearer and tighter, with less jargon and no loss of substance, so generated content needs less cleanup before it reaches customers.

    AI at lower cost: Both models cost half of what GPT-5.6 Sol and Luna did, which makes it practical to run AI steps across more workflows and at higher volumes.

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