- 🏢 Google's Nano Banana image generation line, this entry dated October 2026.
- 🆕 Listed in this catalog as the newest Nano Banana entry.
- 🧠 Built on Gemini, so prompts are interpreted with language understanding.
- 🔧 Google's prompting guide covers styles, composition and editing workflows.
- 💬 Family supports in-image text rendering and flexible aspect ratios.
- 🌐 Listed on this catalog with a web-search capability.
- 🔒 Outputs carry Google's invisible SynthID watermark identifying AI generation.
- 🎯 A paired editing/inpainting variant is listed alongside the generator.
Google is an American multinational technology corporation and one of the world's most valuable brands. A subsidiary of parent company Alphabet Inc., Google operates across search, cloud computing, consumer electronics, and artificial intelligence. Its DeepMind and Google…
Explore 28 more models by Google →Nano Banana 2.1 belongs to Google's Nano Banana line of image generation models, which sit on top of the Gemini image stack and apply the Gemini family's language understanding and reasoning to interpret a prompt before rendering it. In this catalog it is recorded as the newest Nano Banana entry, following Nano Banana 2 and the smaller Nano Banana 2 Lite, and sitting alongside the Nano Banana Pro tier.
The family's established working model carries over: natural-language prompting rather than keyword stacking, support for composing scenes from reference imagery, and iterative refinement through conversational follow-up edits. Google's prompting guidance for the line emphasises describing subject, setting, lighting and camera framing in prose, and covers text rendering inside images as well as varied aspect ratios.
Because the Nano Banana models are Gemini-based, they handle instructions expressed in natural language and interpret intent rather than matching keywords. Google has not published detailed specifications for the 2.1 refresh.
On this catalog, Nano Banana 2.1 is offered both as a text-to-image generator and as the companion editing model Nano Banana 2.1 for inpainting and targeted revisions, and the listing records a web-search capability. All Nano Banana output carries Google's invisible SynthID watermark, which marks the image as AI-generated.
Sources: [2] Google Cloud Blog, ultimate prompting guide for Nano Banana; [3] Google AI Studio model page; [8] Google DeepMind, Gemini Image (Nano Banana).
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
Daily usage · Nano Banana 2.1 · Organic sellers
| Seller | Health | Rep↓ | Sales | Images | Routing | $ / img | Save |
|---|---|---|---|---|---|---|---|
| ▲ Apex Ant 0x73b4…e736 | — | 81.71 | $0.37 | 4 | #1 | $0.0931 | −7% |
| attacompute.ai 0xd5e7…7be0 | healthy | 51.22 | $0.81 | 4 | gated | $0.203 | — |
| Sapiens 0x1fae…8318 | — | 8.20 | $0.08 | 1 | gated | $0.0791 | −21% |
| Edith AI 0xb269…b1a6 | — | 0.00 | — | — | gated | $0.0922 | −8% |
"Best price" and the seller table are live Antseed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = buyer trust score (0-100, the Antseed SDK's own formula). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on Antseed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.