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Google DeepMind

Nano Banana 2

Google’s fast, photoreal-leaning image model. Cheap per gen, great for iteration.

3 benchmarks runLatest: google/nano-banana-2

Nano Banana 2 (the codename for Gemini’s Flash image model) is the fast counterpart to GPT Image 2. Typical generations land in 15–30 seconds at a lower per-gen cost, which makes it the right pick when you’re iterating on style or generating in volume. The trade-off is precision: it interprets prompts loosely and is less reliable for exact-text or pixel-perfect compositional work.

Strengths

  • Fast: 15–30 seconds per generation in typical conditions.
  • Strong photoreal style and character consistency.
  • Lower per-generation cost than GPT Image 2.

Weaknesses

  • Text rendering is inconsistent — don’t rely on it for signage.
  • Less literal: invents details you didn’t ask for.
  • Higher run-to-run variance than GPT Image 2.

Nano Banana 2 across our benchmarks

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