GPT Image vs Nano Banana vs FLUX.2
Three frontier image models of 2026 go head-to-head: OpenAI’s GPT Image 2.5, Google’s Nano Banana 2 and Black Forest Labs’ FLUX.2 [max].
Verdict
FLUX.2 [max] wins on quality, Nano Banana 2 on price-to-quality ratio, GPT Image 2.5 on precise editing and typography.
Side-by-Side Comparison
| # | Model | Arena Elo | Gen Speed | Cost / Image | Resolutions | License |
|---|---|---|---|---|---|---|
| 2 | GPT Image 2.5 OpenAI | 1298 | 6.8s | $0.060 | 1024x1024, 1536x1024, 1024x1536 | Proprietary |
| 3 | Nano Banana 2 Google DeepMind | 1290 | 3.6s | $0.039 | 1024x1024, 2K, 4K | Proprietary |
| 1 | FLUX.2 [max] Black Forest Labs | 1305 | 4.4s | $0.055 | Up to 4MP, Custom AR | Commercial API |
Model-by-Model
GPT Image 2.5 — OpenAI
FLUX.2 [max] tops the Arena at 1305 Elo — the current quality king for photoreal generation, with custom aspect ratios and up-to-4MP output.
Nano Banana 2 — Google DeepMind
GPT Image 2.5 follows at 1298 Elo. It is the strongest on instruction-following edits and text-in-image rendering, but the slowest of the three at 6.8s and the priciest at $0.06/image.
FLUX.2 [max] — Black Forest Labs
Nano Banana 2 at 1290 Elo is the value pick: near-frontier quality at $0.039/image with 3.6s generation and native 2K/4K presets.
FAQ
Which image model has the highest quality in 2026?
FLUX.2 [max] leads the blind-preference Arena at 1305 Elo, ahead of GPT Image 2.5 (1298) and Nano Banana 2 (1290).
What is the cheapest flagship image model?
Nano Banana 2 at roughly $0.039 per image — about 35% cheaper than GPT Image 2.5 ($0.06) and 29% cheaper than FLUX.2 [max] ($0.055).
Which is best for editing existing images?
GPT Image 2.5 shows the strongest instruction-following for edit tasks (object swaps, text replacement, style transfer) in community benchmarks.
Are any of these open weights?
No — all three are proprietary APIs. For open-weights image models look at FLUX.1 [dev], Stable Diffusion 3.5 Large or Z-Image Turbo.