The State of AI Image Models, Mid-2026

The model everyone reaches for is the slowest one by far

OpenAI's GPT Image 2 takes ~68 seconds to produce an image — almost 5× longer than Google's Nano Banana (14s) or xAI's Grok (13s), measured across 15 identical benchmark prompts each, from request to finished image.

For the most-recognised name in AI image generation, that's a striking gap. If you're generating at any volume, the default choice is the one that keeps you waiting.

Time-to-image, by model

Bold rows have a robust sample (13–15 runs). “Prelim.” rows are early reads we're still deepening — but the gap between the well-sampled models is clear and consistent. Method: wall-clock time from request to finished image through PromptFrenzy's pipeline, identical prompts, one shot per run — what a user actually waits, not a vendor lab figure.

The field is moving faster than the models render

Speed matters more this year because the roster keeps growing. Of the AI image and video models we track with a known launch date, a third shipped in the first half of 2026 alone — Google, OpenAI, xAI, Black Forest Labs and ByteDance all pushed new models in the last six months.

Same prompt, every model

The most useful thing we publish isn't a number — it's the side-by-side. We take one brief and run it through all eight models, one shot each, no cherry-picking. Across 17 benchmark prompts and 87 generations, the differences in interpretation, text rendering, and style are stark, and rarely match each model's reputation.

What it means

• →Speed is a real differentiator, not a footnote. A ~5× gap is the difference between an interactive tool and a “kick it off and come back later” one.
• →Newer isn’t automatically faster. Some of the latest releases sit mid-pack; the fastest well-sampled models aren’t the newest.
• →There is no single “best.” The right model depends on the task — which is the whole reason to compare on your own prompt rather than trust a leaderboard.