| Core AI Model Architecture | Based on Gemini 2.5 Flash Image - Designed for rapid generation and creative prototyping with cost-effective performance. | Based on Gemini 3 Pro Image Model - Enhanced reasoning capabilities and world knowledge for more complex creative tasks. |
| Text-in-Image Rendering | Capable of generating images with text, but has noticeable limitations in complex text, multilingual content, small fonts, and extreme clarity requirements. | Significantly improved: Supports multilingual text with diverse font styles and crystal-clear rendering quality in generated images. |
| Resolution & Output Quality | Suitable for web and rapid creative work - Limited support for 4K and high-resolution output. | Supports 2K and 4K output with advanced cinematic controls including lighting, depth of field, focus adjustment, and camera angles. |
| Multi-Image Reference & Brand/Character Consistency | Sufficient for creative prototyping, but weaker capabilities when maintaining brand consistency across multiple assets or long character chains. | Accepts up to 14 reference images and maintains consistency across multiple assets and multi-character scenes - Ideal for brand assets and advertising materials. |
| World Knowledge & Real-time Information (Charts, Data, Maps, Scenarios) | Primarily prompt-based generation with strong creativity but limited in knowledge accuracy and data-driven visual scenarios. | New 'Search grounding' capability - Integrates Google Search to enhance visual generation with actual data, world knowledge, charts, maps, and technical workflows. |
| Creative Control & Editing (Lighting, Camera Angles, Color Grading, Focus) | Provides basic generation and editing, but has limitations in detailed control (e.g., transforming scenes from day to night) and maintaining consistency across multiple camera angles. | Advanced professional controls: Adjust camera angles, change focus, transform scene lighting, color grading, different aspect ratios - Better suited for production-grade and brand-level materials. |
| Recommended Use Cases | Rapid ideation, social media graphics, prototypes, drafts, viral images, stylized outputs - Cost and time friendly for high-volume experimentation. | Brand advertising, cross-language market materials, high-resolution production visuals, product/e-commerce/marketing omni-channel assets, educational charts, technical documentation. |
| Speed & Cost Trade-offs | Faster processing, iteration-friendly - Perfect for 'generate volume first, experiment more' workflows. | Heavier model with higher quality output - May have slightly longer generation times and higher costs or quota consumption. |