Модели OpenAI

For complex coding, computer use, and professional document work. It improves on GPT-6 Sol in demanding tasks and approaches Astra at a lower cost; choose Astra when maximum quality is the priority.

Built for complex coding and agentic workflows, including project-level programming, long-horizon planning, and multi-step tool use. Its 1.05M-token context, text/image input, reasoning, function calling, and structured outputs make it the workhorse choice; it costs more than GPT-6 Luna when quality and execution stability matter most.

Designed for focused, high-volume work such as batch summarization, classification, rewriting, and frequent agent calls. It still offers a 1.05M-token context, text/image input, reasoning, function calling, and structured outputs, but trades depth for much lower cost; prefer GPT-6 Sol for the hardest long-horizon tasks.

The discounted-price route for GPT Image 2.5 Sunburst, mapped by the current channel to Sunburst. Sale indicates a special-price route and does not change Sunbursts role in high-precision image generation and editing. Best for cost-sensitive professional visual work that still needs reference-image editing and detail control; use regular gpt-image-2.5-sunburst when you want the standard route.

Built for premium visual workflows where editing precision and finished-image quality matter most: a better fit for production campaign creative, polished product imagery, and multi-turn edits that need to preserve the subject, composition, and visual treatment. It accepts text and reference-image inputs and produces images, with longer generation times than Flare.

The discounted-price route for GPT Image 2.5 Flare, mapped by the current channel to Flare. Sale indicates a special-price route and does not change Flares role in fast, high-quality everyday image generation and editing. Best for cost-sensitive, frequent image tasks; use regular gpt-image-2.5-flare when you want the standard route.

A strong default for high-quality image generation and editing: optimized for faster iteration across creator and social content, product experiences, visual search, rapid prototyping, and high-volume generation. It accepts text and reference-image inputs and produces images; choose Sunburst when tighter editing control matters more than speed.

A flagship end-to-end model for complex reasoning, software engineering, computer use, deep research, and document work. It offers about a 1.05M-token context window, accepts text, images, and documents, returns text, and supports reasoning, search, function calling, structured outputs, code execution, and tool orchestration. Choose it over lower-tier models for long-horizon task quality and execution stability, with higher usage cost as the trade-off.

The balanced workhorse tier of GPT-5.6, combining capability and cost. Well suited to production work involving image understanding, tool use, and large source material; choose Sol for the hardest quality-first work or Luna for cost-controlled high volume.

The flagship GPT-5.6 tier for complex professional work and quality-first delivery. It supports image input, function calling, structured outputs, and an exceptionally large context window; consider Terra or Luna when latency or unit cost is the primary constraint.

The cost-sensitive, high-volume tier of GPT-5.6. A good fit for summarization, classification, rewriting, and batch automation; choose the Sol sibling for complex professional judgment or quality-first multi-step work.

Создан для рассуждений, кодирования, визуального понимания и задач агента, с более длинным контекстом, использованием инструментов и масштабируемым надежным выводом, чем GPT-5.4. По сравнению с флагманскими моделями Claude, Gemini и Qwen, это мощная универсальная база для надежной автоматизации и сложных рабочих процессов.

The discounted-price route for GPT Image 2, mapped by the current channel to the same underlying model. Sale indicates a special-price route, not a separate capability tier. A good fit for cost-sensitive everyday generation and reference-image editing; choose regular gpt-image-2 when route consistency matters more.

Создан для высококачественного создания и редактирования изображений, улучшен по сравнению с GPT Image 1.x в рендеринге текста, локальном редактировании и многошаговой согласованности. По сравнению с моделями изображений Gemini, Qwen Image и Seedream, он хорошо подходит для визуальных эффектов бренда, дизайна рекламы, изображений продуктов и строго контролируемых творческих рабочих процессов.

Built for reasoning, coding, visual understanding, and agent tasks, with stronger long context, tool use, and scalable reliable output than GPT-5.3. Compared with Claude, Gemini, and Qwen flagship models, it is a strong general-purpose base for reliable automation and complex knowledge workflows.

Создан для рассуждений, кодирования, визуального понимания и задач агента, с более сильным длинным контекстом, использованием инструментов и масштабируемым надежным выводом, чем GPT-5.3. По сравнению с флагманскими моделями Claude, Gemini и Qwen, это мощная универсальная база для надежной автоматизации и сложных рабочих процессов.

Создан для рассуждений, кодирования, визуального понимания и задач агента, с более сильным длинным контекстом, использованием инструментов и масштабируемым надежным выводом, чем GPT-5.3. По сравнению с флагманскими моделями Claude, Gemini и Qwen, это мощная универсальная база для надежной автоматизации и сложных рабочих процессов.