In the rapidly evolving world of artificial intelligence, Google has once again made a significant contribution with the release of its latest AI image generation model, Nano Banana 2. Launched in late February, this new iteration arrives just three months after Google’s previous AI image model, highlighting the company’s commitment to keeping pace with the breakneck speed of AI advancements. While the initial impression might suggest that not much has changed from prior versions, a closer look reveals meaningful improvements, especially in terms of speed and integration of advanced world knowledge, thanks in part to influences from Google’s Gemini 3 model.
Nano Banana 2 builds on the foundation laid by its predecessors, aiming to blend the swiftness of the original Nano Banana model with the enhanced realism and contextual understanding found in the Nano Banana Pro and Gemini 3. As a creative AI expert at CNET, I had the opportunity to rigorously evaluate Nano Banana 2, especially since the Nano Banana Pro remains our top overall pick among a crowded field of AI image tools. These assessments focused primarily on photo editing, which is one of the most popular use cases for Nano Banana, although the model is also capable of generating fully AI-created images.
One notable challenge I put Nano Banana 2 to the test with involved a difficult photo I took last year of a movie poster for the film Freakier Friday. The image was marred by a reflection caused by dying evening sunlight hitting the glass at just the wrong angle, obscuring much of the poster. This proved to be a stubborn problem for AI editing tools: the original Nano Banana model outright failed to fix the reflection, and while the Pro model performed somewhat better, it still fell short of fully resolving the issue. Naturally, I was curious to see if Nano Banana 2 could overcome this limitation — and unfortunately, it could not.
This inability to remove the reflection in the worst-case scenario underscored a key limitation of current AI image editing technology. Reflections are notoriously difficult to remove even with traditional photo editing, and the hope that AI could neatly solve such problems remains optimistic but, for now, unrealistic. However, this failure should not be interpreted as a wholesale indictment of the technology, as reflections in photos are among the most challenging editing problems. Moreover, Nano Banana 2’s shortcomings in this case serve as a reminder that AI tools, while powerful, are not perfect and cannot yet fully replace human skill in all scenarios.
In less extreme cases, Nano Banana 2 demonstrated solid performance in removing smaller, less intrusive reflections. For example, when tasked with editing reflections in the glasses of CNET’s senior social media manager, Allyza Umali, the AI effectively removed the glare from both lenses. This kind of subtle correction is where Nano Banana 2 shines, showing that it can handle common photo editing needs with finesse and accuracy.
When comparing Nano Banana 2 to the Pro model on photo editing tasks overall, the two performed similarly in terms of output quality. However, the standout advantage of Nano Banana 2 is its speed. While the Pro model typically takes between two to five minutes to generate an image, Nano Banana 2 can produce results in less than a minute when operating in its fast mode. This makes the newer model attractive for users who need quick ideation or rapid edits without waiting extensively for fine details.
Speed, however, comes with some trade-offs. Nano Banana 2’s quicker processing tends to sacrifice some precision relative to the Pro model. For instance, when asked to place a family photo onto a football field at Appalachian State University in North Carolina, Nano Banana 2 did a decent job of compositing the scene. Yet, the Pro model went further by refining finer details and even incorporating legible text, such as the stadium’s name, without explicit instruction. This level of nuance and attention to detail remains a hallmark of the Pro model, appealing to users who require higher fidelity and are willing to invest more time in the output.
For larger stylistic edits, such as transforming an image’s artistic style, Nano Banana 2 and the Pro model were largely on par. In tests where I asked both models to emulate the Pointillism style—an art technique characterized by small, distinct dots—both performed admirably. While at a glance the outputs looked very similar, zooming in revealed that the Pro model’s version contained more refined dots, suggesting a subtle edge in detail quality. Nonetheless, Nano Banana 2 proved capable of handling stylistic transformations effectively and