Nano Banana 2.1 Is Live: 4K for $0.05

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Key Takeaways

• Better quality, higher rank: 1328 on the Arena text-to-image board — 67 points above Nano Banana 2 and 80 above Nano Banana Pro; 1428 on image editing, also ahead of both
• Google’s image output price is halved: image output drops from $60 to $30 per 1M tokens, but input rises from $0.50 to $1.50, and a 4K image now uses 3780 tokens instead of 2520
• Two billing modes on APIYI: $0.05 per request (same for 1K / 2K / 4K), or token-based at $0.66 input / $13.2 output per 1M tokens — about $0.021–$0.033 for a 1K image in production
• Simple rule: token-based is cheaper for 1K / 2K; per-request is cheaper for 4K
• Migration notes: no 512px; the model thinks by default and thinking tokens count toward output cost; Nano Banana 2 stays available at the same price

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Background

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Deep Dive

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Benchmarks

• 2.1 beats Google’s own Pro on both boards, ending the pattern where the value model trailed the flagship on quality
• OpenAI’s gpt-image-2.5 models still top the boards; text-to-image ranks 4–6 (MAI-Image-2.6, Nano Banana 2.1, Grok Imagine 2.0) overlap within their error margins and are effectively one tier
• 2.1’s edge is the lowest price at this quality level: 4K for $0.05 per request

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Key Features

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Specs vs. Nano Banana 2

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Three details from our own tests

1. It thinks by default: even with no thinking parameter, each request produces about 530–960 thoughtsTokenCount, plus roughly 230–400 non-image output tokens. All of it counts toward output cost, so estimating from image tokens alone underestimates the cost by 20%–40%. Setting high adds only about 30% more thinking tokens, roughly +6% for a 4K image.
2. No 512: "imageSize": "512" returns 400 (not billed). If your Nano Banana 2 code uses 512, change it to 1K before switching.
3. Sizes differ from the previous version: without aspectRatio, the model picks a ratio based on the content (mostly 16:9 for scenes, 2:3 or 3:4 for posters). 8:1 at 1K is 2928×352, versus 3072×384 on Nano Banana 2. Don’t reuse the old size table for front-end layout.

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Practical Use

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Recommended scenarios

• E-commerce and marketing assets: posters, product shots and banners with text, where the text rendering gains show most
• Multi-turn editing: start with a draft and refine it step by step, with better character and scene consistency
• Bulk 4K output: $0.05 per request regardless of resolution, so the more 4K you generate, the better the deal
• Images that need live data: attach Google Search for weather cards or market charts ($0.014 per search query on top)

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Code example

import base64
import requests

resp = requests.post(
    "https://api.apiyi.com/v1beta/models/gemini-nano-banana-2.1:generateContent",
    headers={"Authorization": "Bearer sk-your-apiyi-key"},
    json={
        "contents": [{"parts": [{"text": "A grand-opening poster for a coffee shop titled 'Autumn Special', warm tones, 4K"}]}],
        "generationConfig": {
            "responseModalities": ["IMAGE"],
            "imageConfig": {"aspectRatio": "3:4", "imageSize": "4K"},
        },
    },
    timeout=360,
).json()

# The order of parts is not guaranteed; take the last image part
image = [p for p in resp["candidates"][0]["content"]["parts"] if "inlineData" in p][-1]
with open("poster.png", "wb") as f:
    f.write(base64.b64decode(image["inlineData"]["data"]))

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Best practices

• Always pass imageSize and aspectRatio; otherwise the model picks the ratio and the token-based cost is unpredictable
• Set the timeout to 360 seconds: most 4K requests in our tests took 30–50 seconds, a few over 2 minutes
• Never hard-code parts[0]: iterate over parts and take the last one with inlineData
• Migrating from Nano Banana 2 takes two steps: change the model name and switch 512 to 1K; request and response formats are unchanged

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Pricing and Availability

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Pricing

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Stack it with top-up bonuses

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Summary and Recommendations

• New projects: use Nano Banana 2.1
• Already on Nano Banana 2: switching is worth it — change the model name and drop 512
• Need 512px thumbnails: stay on Nano Banana 2, or use Nano Banana 2 Lite
• Want the top of the leaderboard: compare the gpt-image-2.5 models, which cost more