Di Yi Cai Jing·2025-12-17 08:22Core Viewpoint - OpenAI has launched its new image model, GPT Image 1.5, which competes directly with Google's Nano Banana Pro, showcasing superior performance in certain metrics but receiving mixed user feedback regarding its AI characteristics [1][15]. Group 1: Model Performance - GPT Image 1.5 demonstrates stronger instruction adherence, more precise image editing, and retains details better than its predecessor, with a generation speed four times faster [3]. - In various assessments, GPT Image 1.5 has achieved the top ranking, surpassing Nano Banana Pro, particularly excelling in text-to-image generation with a lead of 46 points [3][4]. - The model's pricing has been reduced by 20%, allowing users to generate more images within the same budget, with high-quality images priced at approximately $133 per thousand and low-quality at $9 per thousand [3]. Group 2: Comparative Analysis - A direct comparison between GPT Image 1.5 and Nano Banana Pro reveals that both models have their strengths and weaknesses; GPT Image 1.5 excels in image quality and adherence to prompts but struggles with Chinese text accuracy, while Nano Banana Pro is better at text accuracy but has issues with prompt adherence [5][6][7]. - Overall aesthetic feedback indicates that GPT Image 1.5's outputs are more aligned with public preferences, yet Nano Banana Pro is noted for its superior realism and detail [9][12]. Group 3: Market Context and User Reception - The release of GPT Image 1.5 is seen as a response to Google's Gemini 3 series, which has posed significant competitive pressure on OpenAI, prompting a rapid development cycle [15]. - Despite high scores in competitive assessments, user reviews of GPT Image 1.5 are polarized, with many users expressing disappointment over perceived lack of innovation compared to expectations set by previous models [15]. - The critical factor for user satisfaction remains the realism of generated images, with OpenAI needing to improve in this area to effectively compete with Google [15].