On October 6, Google pushed its image generation model Nano Banana 2.1 straight to general availability, skipping any preview. It replaces Nano Banana 2 (API name gemini-3.1-flash-image), released this February, with what Google calls across-the-board improvements: visual quality, prompt adherence, multi-turn character consistency, and text rendering all get better, and the base moves to Gemini 3.6 Flash — newer than the 3.1 that the Pro line still uses.

Prices cut in half first

The hardest change this time is price. A 1K image drops from 6.70 cents to 3.36 cents, a 4K from 15.10 cents to 7.56 cents — roughly half; the 2K tier sits at 5.04 cents. For comparison, Nano Banana Pro charges 13.40 cents per 1K image and 24.00 cents per 4K — a 4K image now costs about a third of Pro's price. Flash-tier speed is unchanged, with 1K/2K/4K resolutions supported (1K default).

Capabilities: 14 reference images and three thinking levels

The official documentation lists substantive updates: multi-image fusion now takes up to 14 reference images, with character consistency covering 4 characters and object fidelity covering 10 objects; tiling artifacts on ultra-wide aspect ratios (1:4, 1:8 panoramas) at 2K and 4K are fixed; infographic layout and text rendering accuracy are improved; and grounding with Google Web and Image Search is built in. Thinking comes in minimal/medium/high levels (medium by default), with an input limit of 131,072 tokens.

Beats Pro in benchmarks, but hold your conclusions

In Google's model card benchmarks, 2.1 (with thinking) scores 1050 on overall preference, above Nano Banana 2's 990 and Pro's 935; infographic accuracy hits 0.521, nearly triple Gemini 3.1 Flash Image's 0.179; multi-character consistency reaches 1106, also beating Pro's 1011. But The Decoder's hands-on test offers a caveat: the previous NB2 also matched Pro in similar tests, while in practice Pro still delivers better color and proportions, and 2.1 stumbles on scale — drawing a horse more like a pony. Google's own positioning is merely Pro's "more efficient counterpart."

So what

The old gemini-3.1-flash-image model shuts down on October 29, leaving existing workloads a three-week migration window. Google's playbook is now clear: use Flash-tier costs to turn image generation into default infrastructure — rolling out across the Gemini app, AI Mode in Search, AI Studio, Flow, Stitch, Google Ads, and Gemini Enterprise, with Pro reserved for premium budgets. When a 4K image costs 7.56 cents, the answer to "what is an image worth" is being rewritten: image generation is turning from a product selling point into a utility.

References: Google official model docs · The Decoder report