AI RACE— La carrera de la IA
Modelo de IA

GPT Image 2 (high)

OpenAI

Probar ahora ↗
Lanzamiento4/2026

Clasificación

#5
AIM 93.4Puesto máximo: #15 semanas en el #1
#6
AIM 86.3Puesto máximo: #2

Análisis

Currently the strongest model for image generation; best-in-class when quality is the primary priority. Not an optimal choice if budget is tight or latency is critical—consider DALL-E 3 or Flux compact as alternatives instead.

Puntos fuertes

  • Generates detail-rich, highly aesthetic images, handling complex prompts with natural intuition for composition, color palette, and style
  • Top-tier image editing (inpainting, outpainting, object replacement), suitable for professional editorial and advertising workflows
  • Strong generalization across domains—from photorealism to stylized art, conceptual, and fantasy styles

Puntos débiles

  • High per-request cost; not suitable for high-volume projects or constrained budgets
  • Slower inference latency than open-source alternatives (speed vs. quality tradeoffs should also be considered compared to DALL-E 3)
  • Prompt parsing has limits (does not handle deep reasoning or overly compound requirements)—requires concise, clear prompts

Casos de uso

Creating marketing assets, campaign visuals, and social content for premium brandsEditorial photo editing, photo retouching, and background replacement in production workflowsConcept art, game assets, and illustrations for internal creative projects

Guías y videos

GPT Image 2 (high) is OpenAI's flagship AI image generation model launched in April 2026, accessible via ChatGPT or the OpenAI API with the `quality: "high"` parameter. It is best suited for marketing assets, posters, product photography, and UI mockups requiring precise in-image text rendering (~99% accuracy for Latin and CJK scripts). When using the API, test prompts with `quality: "low"` first and only switch to `"high"` for final outputs, as it costs ~$0.211 per 1024×1024 image. With integrated O-series reasoning, concise prompts yield strong results—the model plans image layout and structure before rendering.

Reseñas