Nano Banana 2.1評測：Google圖片生成砍半價更穩 | Nano Banana 2.1 Review: Google Halves Image Pricing

By Kit 小克 | AI Tool Observer | 2026-10-09

🇹🇼 Nano Banana 2.1評測：Google圖片生成砍半價更穩

Nano Banana 2.1 是 Google 10 月 6 日剛推出的圖片生成與編輯模型，主打同樣畫質下 API 生圖價格砍半，還加了遮罩局部編輯、角色一致性和 4K 輸出。如果你平常用 Gemini 做 banner、社群圖或產品示意圖，這次更新值得花五分鐘摸一下。

Nano Banana 2.1是什麼？

它是 Gemini 3 家族底下的圖片模型，架構基於 Gemini 3.6 Flash，10/6 起同步上線 Gemini App、Google AI Studio、Gemini API、AI Mode 搜尋、Google Cloud、Flow、Stitch 和 Gemini Enterprise。

比起上一代 Nano Banana 2，官方列出的升級重點是四項：視覺設計、遮罩式編輯、角色一致性、更自然的成圖。

Nano Banana 2.1規格到什麼程度？

輸出解析度可選 1K / 2K / 4K
單次 prompt 最多塞 14 張參考圖
同一組圖最多維持 4 個角色外觀一致
能準確重現最多 10 個獨立物件
context window 拉到 100 萬 token

Nano Banana 2.1價格降了多少？

答案是直接砍半：API 生圖每百萬 token 從 60 美元降到 30 美元，單張圖從 1K 的 0.0336 美元到 4K 的 0.0756 美元，對常態跑圖的開發者是實打實的成本下降，不是行銷話術。

跟上一代比，實際差在哪？

最有感的是遮罩編輯——框住圖片局部修改，其他地方不受影響，不用整張重生。文字渲染（海報、資訊圖）跟角色一致性（連續編輯不跑臉）也是官方特別強調的兩塊，這兩項過去是圖片模型的老問題。

Nano Banana 2.1好不好用？

誠實講，降價和規格目前都是 Google 自己公布的數字，還沒看到第三方的系統化評測跑分。幾家科技媒體的上線報導時間點也不太一致，有的說 Flow 先上、API 慢一步，建議動手前先確認自己的方案或地區有沒有拿到權限，別預設全平台同步到位。角色一致性和遮罩編輯這類「宣稱」的功能，最終還是要自己丟幾張實際要用的圖進去試，才知道值不值得把舊的生圖流程換過去。

好不好用，試了才知道。

🇺🇸 Nano Banana 2.1 Review: Google Halves Image Pricing

Nano Banana 2.1 is Google's image generation and editing model that launched October 6, 2026, cutting API image pricing roughly in half while adding mask-based local editing, better character consistency, and native 4K output. If you use Gemini for banners, social graphics, or product mockups, this update is worth a quick test.

What Is Nano Banana 2.1?

It is the image model inside the Gemini 3 family, built on Gemini 3.6 Flash, and it rolled out simultaneously across the Gemini app, Google AI Studio, the Gemini API, AI Mode in Search, Google Cloud, Flow, Stitch, and Gemini Enterprise starting October 6.

Google lists four headline upgrades over Nano Banana 2: visual design, mask-based editing, subject consistency, and more natural-looking output.

What Can Nano Banana 2.1 Actually Do?

Output at 1K, 2K, or 4K resolution
Combine up to 14 reference images in one prompt
Keep up to 4 characters visually consistent across a set
Accurately reproduce up to 10 separate objects
1 million token context window

How Much Cheaper Is Nano Banana 2.1?

API image pricing is cut roughly in half, dropping from 60 to 30 dollars per million tokens, with per-image cost ranging from about 3 cents at 1K to about 7.5 cents at 4K resolution. That is a real cost drop for anyone generating images at scale, not just a marketing line.

What's Different From the Previous Version?

The most noticeable change is mask-based editing: select a region and edit just that part without regenerating the whole image. Text rendering on posters and infographics, plus character consistency across sequential edits, are the two problems Google specifically called out, and both have historically been weak spots for image models.

Is Nano Banana 2.1 Actually Worth Using?

To be honest, the pricing and spec numbers so far all come from Google itself, and no independent third-party benchmark has landed yet. Coverage of the rollout has also been inconsistent, with some outlets reporting it landed in Flow before the API caught up, so check that your tier or region actually has access before assuming it is live everywhere. Claims like subject consistency and mask editing are worth testing with your own images before deciding whether it is worth switching your workflow over.

好不好用，試了才知道。
You only know if it is good once you have tried it.

Sources / 資料來源

常見問題 FAQ

Nano Banana 2.1什麼時候上線？

2026年10月6日起，在Gemini App、API、AI Studio等多個Google平台同步開始上線。

Nano Banana 2.1比上一代貴還是便宜？

API生圖價格砍半，每百萬token從60美元降到30美元。

Nano Banana 2.1最高能生成多高解析度？

最高支援4K輸出，另外也有1K、2K可選。

Nano Banana 2.1能同時保持幾個角色外觀一致？

官方表示最多可在同一組圖中維持4個角色的外觀一致。

怎麼判斷Nano Banana 2.1值不值得換？

目前規格與價格都是官方自報，建議拿自己實際要用的圖和文字測遮罩編輯、角色一致性後再決定。

延伸閱讀 / Related Articles

AI 工具觀察站 — 每日精選 AI Agent 與工具趨勢
AI Tool Observer — Daily curated AI Agent & tool trends

Claude Code 實測：AI 幫你寫程式到底行不行？ | Claude Code Review: Can AI Really Code for You?

3月 26, 2026

閱讀完整內容

搜尋此網誌

AI小貼士