Acerca de OpenAI
OpenAI is an AI research and deployment company based in San Francisco, California. Their mission is to ensure that artificial general intelligence (AGI) benefits all of humanity.
Rendimiento
Rendimiento reciente de Gateway en los modelos de OpenAI.
75,4 tps
0,55 s
Modelos recientes
Lanzamientos recientes con detalles de disponibilidad, contexto, precios y uso.
A fast, efficient model for visual reasoning, precise computer use, and clear, natural writing.
GPT Live 1.1 is an update to OpenAI's full-duplex GPT Live voice model for ChatGPT Voice, Codex and dots, adding 13 new voices across six non-English languages, better accents, more natural filler while it works and better instruction following. API access is coming soon.
GPT-6.1 Sol with OpenAI Pro reasoning mode for difficult tasks.
Near-Astra performance for complex coding, computer use, and professional work at a lower cost.
GPT-6 Luna Pro is the same underlying GPT-6 Luna model served with reasoning.mode set to pro for higher-quality responses on complex tasks.
GPT-6 Sol Pro is the same underlying GPT-6 Sol model served with reasoning.mode set to pro for higher-quality responses on complex tasks.
Our most efficient model for focused, high-volume tasks.
Built to power complex coding and agentic workflows.
GPT Image 2.5 Flare is OpenAI's fast, high-quality default for everyday image generation and editing. Choose it when iteration speed matters; it supports reference-image and multi-turn edits, transparent backgrounds, custom dimensions up to 4K, and quality levels through max.
GPT Image 2.5 Sunburst is OpenAI's premium model for image generation and editing workflows where precision matters most. Choose it for tighter creative control, detailed production assets, campaign creative, and polished product imagery when the best result matters more than Flare's faster generation.
GPT-6 Astra Pro is the same underlying GPT-6 Astra model served with reasoning.mode set to pro for higher-quality responses on complex tasks.
GPT-6 Astra is OpenAI's most capable model for complex reasoning, coding, computer use, research, and document creation. It supports text and image input, a 1.05M-token context window, up to 128K output tokens, and low through max reasoning effort.
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