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    OpenAI

    GPT-6 Luna

    OpenAI's September 22, 2026 GPT-6 model for cost-sensitive, high-volume workloads, and the cheapest frontier-lab model at $0.10 input and $0.50 output per million tokens. Supports text and image input, text output and adjustable reasoning effort from none to max (default medium), with a 1.05M-token context window and up to 128K output. Cached input is $0.01 and cache writes $0.125, with the same above-272K long-context surcharge as GPT-6 Sol. OpenAI reports DeepSWE v1.1 66.6% at $0.22 per task, Agents' Last Exam 50.9% and FrontierCode 1.1 42.4%; Artificial Analysis has not yet published an Intelligence Index for it.

    1M tokens
    Multimodal
    Pro
    New
    Provider
    OpenAI
    Context
    1M
    Catalog ยท As of Sep 25, 2026Under 1d old
    yno subscription tier
    Pro
    Released
    Sep 22, 2026
    Speed
    Fast
    Reasoning
    Advanced
    Modality
    Multimodal

    Benchmarks

    Quality

    Not available

    Speed and latency

    Not available

    API pricing

    Not available

    AA measurements unavailable

    Indexes use points; evaluations use accuracy percentages. API measurements do not measure yno application performance. Methodology

    Capabilities

    • Speed
    • Classification
    • Summarization
    • Code
    • Cost-Effective
    • Vision

    Use cases

    • High-volume pipelines
    • Classification
    • Summarization
    • Budget coding

    Strengths

    • Cheapest frontier-lab model: $0.10/$0.50 per MTok
    • 1.05M context / 128K output
    • Cached reads $0.01/MTok
    • Vendor DeepSWE v1.1 66.6% at $0.22/task

    Best for

    Teams running cost-sensitive, high-volume workloads with the GPT-6 family

    Use GPT-6 Luna in yno.ai

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    Related models

    Frequently asked

    What is GPT-6 Luna?
    OpenAI's September 22, 2026 GPT-6 model for cost-sensitive, high-volume workloads, and the cheapest frontier-lab model at $0.10 input and $0.50 output per million tokens. Supports text and image input, text output and adjustable reasoning effort from none to max (default medium), with a 1.05M-token context window and up to 128K output. Cached input is $0.01 and cache writes $0.125, with the same above-272K long-context surcharge as GPT-6 Sol. OpenAI reports DeepSWE v1.1 66.6% at $0.22 per task, Agents' Last Exam 50.9% and FrontierCode 1.1 42.4%; Artificial Analysis has not yet published an Intelligence Index for it.
    How much does GPT-6 Luna cost in yno.ai?
    GPT-6 Luna is available on the Pro tier of yno.ai.
    What can GPT-6 Luna do?
    GPT-6 Luna is best for Teams running cost-sensitive, high-volume workloads with the GPT-6 family. Its main capabilities include Speed, Classification, Summarization, Code, Cost-Effective, Vision.
    How does GPT-6 Luna compare to other models?
    GPT-6 Luna excels at Cheapest frontier-lab model: $0.10/$0.50 per MTok and is recommended for High-volume pipelines, Classification, Summarization, Budget coding. See related models below.
    How do I use GPT-6 Luna in yno.ai?
    Sign up for yno.ai, select GPT-6 Luna from the model picker, and start chatting.