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Nano Banana 2 (retiring Oct 29) Cost Calculator
DEPRECATED — shuts down October 29, 2026. Migrate to Nano Banana 2.1 (gemini-nano-banana-2.1): output prices halve at every shared resolution, but the 0.5K tier disappears and input tokens cost 3× more. Listed here so existing users can price the migration.
Nano Banana 2 (retiring Oct 29) cost at volume (Standard, 1K)
| Images / month | Output fees (1 attempt each) | At 2 attempts per usable image |
|---|---|---|
| 1,000 | $67.00 | $134.00 |
| 10,000 | $670.00 | $1,340.00 |
| 100,000 | $6,700.00 | $13,400.00 |
| 1,000,000 | $67,000.00 | $134,000.00 |
Full Nano Banana 2 (retiring Oct 29) rate table
| Plan | 0.5K | 1K | 2K | 4K |
|---|---|---|---|---|
| Standard | $0.045 | $0.067 | $0.101 | $0.151 |
| Batch API (−50%) | — | $0.034 | $0.051 | $0.075 |
API model ID: gemini-3.1-flash-image · Source: Gemini API pricing page (Google), October 2026. Rate source ↗ · Verified 2026-10-12
Nano Banana 2 (retiring Oct 29) pricing FAQ
How much does Nano Banana 2 (retiring Oct 29) cost per image?
Nano Banana 2 (retiring Oct 29) starts at $0.034 per image (Batch API (−50%), 1K) on published API list rates verified 2026-10-12. The default plan at 1K costs $0.067 per image before retries.
How much does Nano Banana 2 (retiring Oct 29) cost for 10,000 images a month?
At $0.067 per image (Standard, 1K), 10,000 generations cost $670.00 in output fees. Budget roughly double if you average two attempts per usable image — $1,340.00 — and more if your edits carry heavy reference-image input, which token-billed models charge separately.
Does Nano Banana 2 (retiring Oct 29) offer batch pricing?
Yes — the Batch API plan halves per-image output prices (for example $0.034 instead of $0.067 at 1K). For any volume that does not need interactive turnaround, batch is the single biggest saving available.
Is Nano Banana 2 (retiring Oct 29) billed per image or per token?
Nano Banana 2 (retiring Oct 29) bills per token under the hood; the per-image figures on this page are the vendor's own conversions at each size and quality tier. Input tokens (prompts and reference images) are charged on top of the output figures.