What Is Nano Banana 2.1?Nano Banana 2.1 是什么？
Nano Banana 2.1 is Google DeepMind's latest high-efficiency image generation and conversational editing model, generally available since October 6, 2026 under the model ID gemini-nano-banana-2.1, officially based on Gemini 3.6 Flash. It takes text, images, video and PDFs as input and returns images up to 4K plus text. The family story: the original Nano Banana (Gemini 2.5 Flash Image) went viral in 2025 for photorealistic 3D-figurine edits; Nano Banana 2 (gemini-3.1-flash-image) is now deprecated and shuts down October 29, 2026; and 2.1 is its successor — Google's docs recommend it for all new projects.Nano Banana 2.1 是 Google DeepMind 最新的高效图像生成/对话式编辑模型，2026 年 10 月 6 日 GA，模型 ID gemini-nano-banana-2.1，官方称基于 Gemini 3.6 Flash。输入文本/图像/视频/PDF，输出最高 4K 图像加文本。家族背景：初代 Nano Banana（Gemini 2.5 Flash Image）2025 年靠照片级"3D 手办"修图病毒式走红；Nano Banana 2（gemini-3.1-flash-image）已弃用、2026-10-29 关停；2.1 是它的继任者——Google 文档建议所有新项目都用它。
The headline upgrades: 1K/2K/4K output with wide aspect ratios (1:4, 4:1, 1:8, 8:1), up to 10 object reference images plus 4 character images per request (feed a model photo plus five product shots, get six consistent e-commerce scenes), character consistency across multi-turn edits, Google Search and Image Search grounding for factual visuals, meaningfully better text rendering and infographic layouts, and configurable thinking levels (minimal/medium/high). Every generated image carries Google's SynthID watermark.核心升级：1K/2K/4K 输出、宽幅面（1:4、4:1、1:8、8:1），单次最多 10 张物体参考图+4 张角色图（一张模特照加五张产品图，一次出六张一致的电商场景图），多轮编辑角色一致性，Google 搜索/图片搜索 grounding（事实类视觉先查再画），文字渲染与信息图排版明显变好，可调思考强度（minimal/medium/high）。每张生成图都带 Google SynthID 水印。
Pricing is the other headline: images are billed at $30 per million tokens — half the Nano Banana 2 rate — so a 1K image costs $0.0336 (down from $0.067) and a 4K image $0.076 (down from $0.151). But Google moved the money: input token pricing tripled from $0.5 to $1.5 per MTok, and text/reasoning output rose from $3 to $7.5 per MTok. Drawing is cheap; thinking is expensive — budget long prompt chains accordingly. Prices per the official site.定价是另一大看点：图像按 $30/百万 token 计费——是 Nano Banana 2 的一半——1K 图像 $0.0336（原 $0.067），4K 图像 $0.076（原 $0.151）。但 Google 把钱挪了地方：输入 token 从 $0.5 涨到 $1.5/百万（3 倍），文本/推理输出从 $3 涨到 $7.5/百万。画画便宜、思考变贵——长提示链按新账算。价格以官网为准。
Nano Banana 2.1 is Google doing what it does best: making the workhorse model so cheap it becomes infrastructure. $0.0336 per 1K image — the same price as the old budget Lite tier, with more capability than Lite ever had — collapses the cost of product shots, ad variants and mockups to noise level. The 10-object plus 4-character reference slots are the real product insight: e-commerce and brand teams live on consistency, and multi-image fusion with turn-to-turn character consistency attacks exactly that pain. The honest tradeoffs: the 'half price' story only applies to image tokens — long thinking-heavy prompt chains now cost 3x on input, so measure your real per-image bill before celebrating; and quality claims are Google's own with no independent eval yet. Verdict: for production image pipelines at web scale, this is the new default — migrate off gemini-3.1-flash-image before the October 29 shutdown, keep Pro for the layouts the cheap models get wrong.
Nano Banana 2.1 是 Google 最擅长的打法：把主力模型做到便宜到成为基础设施。1K 图像 $0.0336——和当年预算版 Lite 一个价，能力却远超 Lite——产品图、广告变体、设计稿的成本直接压到噪音级。10 物体+4 角色参考位才是真正的产品洞察：电商和品牌团队靠一致性吃饭，多图融合加多轮角色一致性打的正是这个痛点。真实代价："半价"只针对图像 token——重思考的长提示链输入涨了 3 倍，先算清自己真实的单图账单再庆祝；质量数据是 Google 自报、尚无独立评测。结论：网页级生产图像管线的新默认选项——10 月 29 日关停前把 gemini-3.1-flash-image 迁过来，便宜模型搞不定的版式再上 Pro。
— 中国吧 AI Tools Hub Editorial Team
Who Should Use Nano Banana 2.1?谁适合使用 Nano Banana 2.1？
✓ Good Fit For适合以下场景
- E-commerce & brand teams needing consistent multi-reference product shots电商/品牌团队：要一致性的多参考图产品拍摄
- Production image pipelines at web scale — $0.0336/1K changes the math网页级生产图像管线——$0.0336/1K 改变成本账
- Infographics & educational visuals needing factual accuracy信息图/教育视觉：需要事实准确率
✕ Not Ideal For不适合以下场景
- Complex brand/localization layouts — keep Nano Banana Pro for those复杂品牌/本地化版式——那种上 Nano Banana Pro
- Workflows needing un-watermarked output — SynthID is baked in需要无水印输出的流程——SynthID 是内置的
- Long reasoning-heavy prompt chains — input tokens tripled to $1.5/MTok重推理的长提示链——输入 token 涨到 $1.5/百万
Getting Started with Nano Banana 2.1Nano Banana 2.1 快速开始
1. Call the model: Gemini API model ID gemini-nano-banana-2.1 — also live in AI Studio, Vertex AI, the Gemini App, Flow and Stitch调模型：Gemini API 模型 ID gemini-nano-banana-2.1——AI Studio、Vertex AI、Gemini App、Flow、Stitch 同步可用2. Stack your references: up to 10 object images + 4 character images per request for consistent scenes堆参考图：单次最多 10 张物体图+4 张角色图，一致场景一次成型3. Pick your resolution and thinking: 1K for web ($0.0336/image; prices per official site), 4K for print, thinking minimal for speed选分辨率和思考强度：网页用 1K（$0.0336/张，价格以官网为准）、印刷用 4K，要速度选 minimalKey Features核心功能
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1K / 2K / 4K Output1K/2K/4K 输出 — Resolution tiers with wide aspect ratios (1:4, 4:1, 1:8, 8:1) — panoramas and verticals without tiling artifacts; 1K is priced the same as the old Lite budget tier.分辨率分档，宽幅面（1:4、4:1、1:8、8:1）——全景和竖图没有拼接痕迹；1K 价格和当年预算版 Lite 一个档。
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10 Object + 4 Character References10 物体+4 角色参考图 — Multi-image fusion with up to 14 reference images per request and character consistency across multi-turn edits — the e-commerce killer feature.单次最多 14 张参考图的多图融合，多轮编辑角色一致性——电商场景的杀手功能。
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Search Grounding搜索 grounding — Google Search and Image Search grounding before generation — factual-accuracy score 0.521 vs 0.179 (Nano Banana 2) and 0.265 (Pro) in Google's own automated eval; generated facts still need review.生成前先做 Google 搜索/图片搜索 grounding——Google 自报事实准确率 0.521（Nano Banana 2 仅 0.179、Pro 0.265）；生成出的事实仍需人工复核。
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Half-Price Image Tokens图像 token 半价 — $30 per MTok image tokens: 1K $0.0336 (was $0.067), 4K $0.076 (was $0.151). Caveat: input tokens tripled to $1.5/MTok, text/reasoning output to $7.5/MTok. Prices per official site.图像 token $30/百万：1K $0.0336（原 $0.067）、4K $0.076（原 $0.151）。提醒：输入 token 涨到 $1.5/百万、文本/推理输出涨到 $7.5/百万。价格以官网为准。
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Configurable Thinking Levels可调思考强度 — minimal / medium / high thinking levels to balance latency against composition planning; plus better text rendering and infographic layouts.minimal/medium/high 三档思考强度——在延迟和构图规划之间调；文字渲染与信息图排版同步变好。
Pros & Cons优缺点
✓ Good Fit For适合以下场景
- Cheapest production image API from a frontier lab: $0.0336/1K前沿厂商里最便宜的生产级图像 API：$0.0336/1K
- Best-in-class reference consistency: 10 objects + 4 characters参考一致性同级最强：10 物体+4 角色
- Search-grounded factual visuals with SynthID provenance搜索 grounding 的事实视觉+SynthID 溯源
- Everywhere: Gemini App, AI Studio, Vertex AI, Flow, Stitch全渠道：Gemini App、AI Studio、Vertex AI、Flow、Stitch
✕ Not Ideal For不适合以下场景
- Complex precision layouts — that's Nano Banana Pro's job复杂精密版式——那是 Nano Banana Pro 的活
- No independent quality evals yet; all scores are Google's own尚无独立质量评测；所有分数都是 Google 自报
- Mandatory SynthID watermark on every output每张输出强制带 SynthID 水印
Use Cases应用场景
Popular ways people use Nano Banana 2.1.人们使用 Nano Banana 2.1 的常见场景：
🛍️ E-Commerce Product Shots电商产品拍摄
One model photo plus five product references, six consistent scene shots in one batch — the viral use case, now at $0.0336 per 1K image (prices per official site).一张模特照加五张产品参考图，一批出六张一致场景图——病毒式用法，现在 1K 图像 $0.0336（价格以官网为准）。
📊 Infographics & Educational Diagrams信息图与教学图解
Search-grounded diagrams with better text rendering — Google's own factual-accuracy score jumped from 0.179 (v2) to 0.521; still review generated facts.搜索 grounding 的图解、更好的文字渲染——Google 自报事实准确率从 0.179（v2）涨到 0.521；生成的事实仍要复核。
🎨 Conversational Photo Editing对话式修图
Multi-turn natural-language edits with character consistency — the 'Nano Banana' viral editing loop, now with adjustable thinking.多轮自然语言修图、角色一致性——"Nano Banana" 病毒式修图循环，现在多了可调思考强度。
📣 Ad Variants & Social Cards广告变体与社交卡片
Wide aspect ratios (1:4, 4:1, 1:8, 8:1) for banners and stories at web scale — start with 2.1, escalate only the layouts it gets wrong to Pro.宽幅面（1:4、4:1、1:8、8:1）做横幅和竖屏卡片——先用 2.1，它搞不定的版式再上 Pro。
Similar AI Tools相似 AI 工具
If Nano Banana 2.1 doesn't fit your needs, here are other popular AI tools you might consider — for the open-weight alternative with bounding-box control see our full review: FLUX 3 Image.如果 Nano Banana 2.1 不符合你的需求，可以看看这些热门 AI 工具——带边界框控制的开权重替代方案可参考本站完整评测：FLUX 3 Image。
Frequently Asked Questions常见问题
gemini-nano-banana-2.1, based on Gemini 3.6 Flash). It outputs 1K/2K/4K images, supports up to 10 object reference images plus 4 character images, and adds search grounding, configurable thinking levels and SynthID watermarking.Nano Banana 2.1 是 Google DeepMind 的高效图像生成/对话式编辑模型，2026 年 10 月 6 日 GA（模型 ID gemini-nano-banana-2.1，基于 Gemini 3.6 Flash）。输出 1K/2K/4K 图像，支持最多 10 张物体参考图+4 张角色图，新增搜索 grounding、可调思考强度和 SynthID 水印。gemini-3-pro-image, GA May 28, 2026) is the premium model for complex brand, localization and precision-design work, and it has also joined the Adobe Firefly multi-model lineup. Start with 2.1; keep Pro for layouts the cheaper models get wrong.Nano Banana 2.1 是高效生产版；Nano Banana Pro（gemini-3-pro-image，2026-05-28 GA）是复杂品牌/本地化/精密设计的高端档，也已进入 Adobe Firefly 多模型阵容。先用 2.1，便宜模型搞不定的版式再上 Pro。gemini-3.1-flash-image) is deprecated and shuts down on October 29, 2026 — migration is not optional. Google recommends gemini-nano-banana-2.1 for all new projects; the Lite tier (gemini-3.1-flash-lite-image) remains as the fastest 1K-only budget option.不能。Nano Banana 2（gemini-3.1-flash-image）已弃用，2026-10-29 关停——迁移不是选做题。Google 建议所有新项目用 gemini-nano-banana-2.1；Lite 版（gemini-3.1-flash-lite-image）仍是最快的 1K 预算档。