Summary
OpenAI’s GPT Image 2.5 has arrived, and the AI Search channel runs it through a gauntlet of increasingly difficult tasks to map exactly where it excels and where it still stumbles. The video opens with a tour of new features — a sketch-to-photo mode, annotation-based editing, and improved multi-turn consistency — before moving into structured head-to-head comparisons against GPT Image 2 and Nano Banana 2.
Test cases push well beyond standard image generation into territory that exposes meaningful model differences: generating sprite sheet animations for game development, decomposing a poster into separate transparent Photoshop layers (with a working PSD output), converting a dense data table with missing values and asterisked footnotes into color-coded bar graphs, and producing stop-motion animation frames with cross-turn consistency. GPT Image 2.5 wins most rounds, though specific failures are noted — including a mis-read numeric value in the data visualization test — and the margin over GPT Image 2 is often narrow.
Pricing, API access, and access points (including ChatGPT, the Higsfield MCP, and Higsfield Supercomputer) are covered alongside the technical results. For designers, developers, or content creators evaluating which image model to integrate into a production workflow, this video provides concrete, side-by-side evidence rather than impressionistic praise.
📺 Source: AI Search · Published September 10, 2026
🏷️ Format: Review
