Compare GPT-4V (Vision) vs. GPT-5.6 Luna in 2026

GPT-5.6 Luna

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Description

The latest advancement, GPT-4 with vision (GPT-4V), allows users to direct GPT-4 to examine image inputs that they provide, marking a significant step in expanding its functionalities. Many in the field see the integration of various modalities, including images, into large language models (LLMs) as a crucial area for progress in artificial intelligence. By introducing multimodal capabilities, these LLMs can enhance the effectiveness of traditional language systems, creating innovative interfaces and experiences while tackling a broader range of tasks. This system card focuses on assessing the safety features of GPT-4V, building upon the foundational safety measures established for GPT-4. Here, we delve more comprehensively into the evaluations, preparations, and strategies aimed at ensuring safety specifically concerning image inputs, thereby reinforcing our commitment to responsible AI development. Such efforts not only safeguard users but also promote the responsible deployment of AI innovations.

Description

GPT-5.6 Luna is OpenAI’s fast, cost-efficient model in the GPT-5.6 lineup. The GPT-5.6 family includes Sol for flagship performance, Terra for balanced everyday work, and Luna for strong capability at the lowest listed price. Luna is designed for users who need scalable AI support for routine tasks, coding assistance, workflow automation, analysis, and production API use cases where speed and cost matter. According to the pasted preview text, Luna is priced below both Sol and Terra, making it the most affordable GPT-5.6 option for high-volume workloads. The model is included in GPT-5.6 benchmark previews across Terminal-Bench 2.1, GeneBench v1, ExploitBench, and ExploitGym, showing that it is part of the same technical family used for coding, biology, and cybersecurity evaluations. Luna benefits from safeguards developed across the GPT-5.6 series, including model-level refusal training, real-time cyber and biology misuse classifiers, account-level signals, differentiated access, monitoring, enforcement, and ongoing testing. These controls are designed to preserve legitimate use cases such as debugging, code review, defensive testing, security education, and productivity automation while constraining prohibited misuse. GPT-5.6 Luna is planned for broader access through ChatGPT, Codex, and the API after the limited preview period. GPT-5.6 Luna helps developers and organizations run useful AI workflows with a practical balance of affordability, responsiveness, and safety.