Nano Banana 2.1 is the newer model, released after P-Image.
One prompt, one photorealistic portrait. Skin, eyes, light.
Which answer wins?
Not enough votes to call it. On the specs, Nano Banana 2.1 has the edge: newer, bigger context window, major provider backing.
| Spec | ||
|---|---|---|
| Input price | $1.5/M tokens | — |
| Output price | $7.5/M tokens | — |
| Context window | 66K tokens | — |
| Weights | Closed | — |
| Free API (OpenRouter) | No | — |
| Released | Oct 2026 | Jan 2026 |
| At 10M a month | $15.00 | not listed |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 6 Oct 2026.
Nano Banana 2.1 is developed by Google AI while P-Image is developed by PrunaAI. You can compare their actual outputs across 17 challenges on Rival to see how they differ in practice.
It depends on your use case. Nano Banana 2.1 and P-Image each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 17 challenges so you can judge which fits your needs best.
This page shows a side-by-side comparison of Nano Banana 2.1 and P-Image across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.