GPT Image 2.5 vs Qwen Image 2.1 Realism and Iterative Editing Tested

GPT Image 2.5 and Qwen Image 2.1 are compared through single-prompt photorealism and a five-turn editing stress test, with GPT Image 2.5 rated stronger overall for natural portraits, dynamic range, material realism, organic lighting, and high-resolution commercial output. Qwen Image 2.1 performs particularly well on sharp edges, architectural geometry, crisp reflections, localized masking, background stability, native RGBA transparency, and self-hosted workflows. The comparison attributes GPT’s later-edit degradation to full-canvas re-encoding, which can introduce global noise, proportion shifts, and detail loss, while attributing Qwen’s issues to localized repeated processing that can make skin appear oily and matte fabrics become glossy. For production, GPT Image 2.5 is positioned as the better option for polished single-pass photography, advertising, and editorial imagery, whereas Qwen Image 2.1 is presented as more suitable for privacy-conscious, cost-controlled local workflows that require tightly bounded edits and stable backgrounds. Suggested mitigation techniques include reusing the original image as a reference, combining requests into a single edit, using higher-quality sampling for final GPT passes, and applying explicit masks in Qwen to isolate changes.

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