Krea AI just planted a flag on one of the most watched scoreboards in generative imagery. Their in-house foundation model, Krea 2, debuted on the Artificial Analysis Text to Image Arena at #6 globally and #1 among independent research labs, with the company also confirming that an open-source release is on the way.

The leaderboard uses Elo scores derived from millions of blind preference votes, where users compare two images generated from the same prompt without knowing which model created each image, and higher Elo scores indicate a model is preferred more often by users. Krea 2 Medium debuts at #6, trailing only models from OpenAI, Google, and NVIDIA. The top of the chart is currently held by GPT Image 2 (high) at 1339 Elo, followed by GPT Image 1.5, Nano Banana 2, NVIDIA's Cosmos3-Super, and Nano Banana Pro.

Built from scratch, with a different objective

What makes the placement interesting is that this is Krea's first attempt at training a foundation model end-to-end. Krea 1 was developed in collaboration with Black Forest Labs, while Krea 2 is the company's first image model family trained entirely from scratch.

The model also optimizes for something different than the leaders above it. While GPT Image 2 and Nano Banana chase prompt fidelity and text rendering, Krea 2 is trained to understand how images feel, not just what they contain, so any prompt produces output that is more stylish, more considered, and more visually alive, built for creatives who care deeply about aesthetics. In practice that means the model leans into compositional judgment: color grading that reads as golden hour, intentional depth of field, and framing choices the prompt did not explicitly request.