Summary
OpenAI’s ChatGPT Image 2.5 launched this week, and Futurepedia’s hands-on testing suggests it has taken the top spot for real-world image generation — at least for many common use cases. The video runs the new model through a demanding set of challenges, starting with a richly detailed American Revolution classroom poster that packs in timelines, battle maps, portraits, and quotes with minimal text errors. The same prompt sent to Gemini returned a cluttered, misspelling-laden result, while Nano Banana 2 Pro and GPT Image 2 produced cleaner but less detailed outputs.
The review also covers the new UI additions: sidebar templates with pre-filled prompts, a trending tab, and a sketch-to-image pad that accepts hand-drawn input with an optional text prompt. Iterative editing gets detailed attention — the model handles simple corrections well, but complex multi-element images can see new errors introduced while old ones are fixed, and font or spacing sometimes shifts between iterations. Character consistency and style transfer, on the other hand, are highlighted as near-solved: character sheets maintain fine-grained details across angles, lighting, and expressions, and Midjourney-style aesthetics port cleanly to entirely new subjects.
Practical workflow applications covered include thumbnail generation, stop-motion frame sequences (where the Codex API outperformed the web interface for consistency), and Photoshop-compatible layer workflows. The creator’s overall verdict: ChatGPT Image 2.5 is the strongest option available for text-heavy and detail-rich images, with consistency in complex iterative edits remaining its most notable remaining weakness.
📺 Source: Futurepedia · Published September 10, 2026
🏷️ Format: Review
