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Model Services/Nano Banana 2 vs Gemini 3.7 Flash
Google AI
Google AI

Nano Banana 2 vs Gemini 3.7 Flash

2026 Stored listed rates & illustrative token-cost comparison

Nano Banana 2

Retired

The first-party endpoint is retired. Partner-channel availability is tracked separately. Retirement: 2026-06-25

Replacement reference: gemini-3.1-flash-image

Gemini 3.7 Flash

Legacy / Superseded

Legacy / superseded version. Newer models are available; official or partner channels may still serve this version.

Illustrative Listed-Rate Difference
Nano Banana 2 about 27% lower
1M input + 200K output tokens; not a monthly bill
📌 Executive Summary (TL;DR):Under a standard baseline of 1M input + 200K output tokens, Nano Banana 2 lists approximately 27% lower than Gemini 3.7 Flash. For high-throughput production workloads, Nano Banana 2 delivers superior unit economics; model your specific monthly workload below before migrating.
💡 10M Monthly Token Workload Simulation

Simulating a production workload (10M input + 2M output tokens): Nano Banana 2 listed rate totals ~$11.00, while Gemini 3.7 Flash totals ~$15.00. Switching to Nano Banana 2 yields ~$4.00/mo in raw token savings.

Model Your Workload →
Metric
Nano Banana 2 (Google AI)
Gemini 3.7 Flash (Google AI)
Input listed rate
$0.50 / 1M Tokens
$0.75 / 1M Tokens
Output listed rate
$3.00 / 1M Tokens
$3.75 / 1M Tokens
Cached Input rate
—
$0.08 / 1M Tokens
Context Window
66K Tokens
1049K Tokens
Modality
image_gen
llm

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