# GPT Image 2 vs Nano Banana Pro — Top-Tier Image Models Compared > Source: > Published: 2026-05-08 00:00:00+00:00 Google's Nano Banana Pro narrows most of the gaps from the standard version. So how does it actually compare to GPT Image 2 today? Same hard-mode prompts, real outputs, side by side. [TL;DR](#tldr) Nano Banana Pro improves text rendering to roughly 94%, partially supports CJK, and editing fidelity is significantly better than the standard model. GPT Image 2 still leads on text (~99%), full multilingual coverage, and dense scenes with many small elements. The price gap also closes — Pro is now in the same ballpark as GPT Image 2. **Decide by output type, not by cost.** [Same Prompt, Side by Side (Hard Mode)](#same-prompt-side-by-side-hard-mode) These are the prompts that separate top-tier models. GPT Image 2 on the left, Nano Banana Pro on the right. [1. Movie poster with a long credit block](#1-movie-poster-with-a-long-credit-block) A movie poster for a film called "THE LAST LIGHTHOUSE", credits at the bottom: "DIRECTED BY ANNA REED · STARRING MARK CHEN · IN THEATERS DEC 2026" | GPT Image 2 | Nano Banana Pro | |---|---| *Long-string text: GPT Image 2 nails the entire credit block character-for-character. Nano Banana Pro gets the title right, but mangles two words in the credits — close, not perfect.* [2. Bilingual chalk menu (English + Chinese)](#2-bilingual-chalk-menu-english--chinese) A bilingual coffee shop menu board: "COLD BREW $5" / "冷萃咖啡 ¥35", chalk style, top-down view | GPT Image 2 | Nano Banana Pro | |---|---| *Mixed-script test: GPT Image 2 renders both English and Chinese cleanly. Nano Banana Pro now handles the Chinese — a clear improvement over the standard version — but the strokes still look slightly off. For brand-quality CJK output, GPT Image 2 still wins.* [3. Dense infographic](#3-dense-infographic) A complex infographic on "How Photosynthesis Works" with 6 labeled steps, arrows, plant illustration in the center | GPT Image 2 | Nano Banana Pro | |---|---| *Dense composition: GPT Image 2 keeps all 6 step labels readable. Nano Banana Pro keeps 5 readable; one label blurs into the central illustration.* [4. Edit fidelity](#4-edit-fidelity) Edit: take the previous infographic, change the title to "Plant Energy Cycle", keep all 6 step labels and arrows identical | GPT Image 2 | Nano Banana Pro | |---|---| *Edit fidelity: GPT Image 2 changes only the title — the other six steps and arrows remain pixel-stable. Nano Banana Pro changes the title cleanly, but quietly redraws one of the step arrows. For multi-round design iteration, that drift adds up.* [5. Korean + English bilingual storefront](#5-korean--english-bilingual-storefront) A Korean BBQ restaurant storefront sign at night: top line in Korean "한우 갈비 · 1980년 개업 · 서울 강남구 청담동", bottom line in English "HANWOO GALBI · EST. 1980 · GANGNAM, SEOUL", warm neon lighting | GPT Image 2 | Nano Banana Pro | |---|---| *Multi-script in one frame: GPT Image 2 nails the Korean, English, and digits — "청담동" and "강남구" hold up character-for-character. Nano Banana Pro builds a more atmospheric street scene (steam, pedestrians, lamplight), but several Korean glyphs on the sign smear, and it adds a second smaller sign that wasn't asked for. Atmosphere ++, text −. For Korean-language brand work, GPT Image 2 is still the safer pick.* [6. Magazine cover with stacked typography](#6-magazine-cover-with-stacked-typography) A magazine cover, masthead "FUSION", date "MAY 2026", main cover line "THE QUIET REVOLUTION IN CHIP DESIGN", three subtitles: "INSIDE TSMC'S 2NM PLAYBOOK / WHY EUROPE IS BUYING NVIDIA / KEN LIU ON AI FICTION", minimalist editorial layout | GPT Image 2 | Nano Banana Pro | |---|---| *Magazine cover: both got every word right this round — masthead, date, main title, and all three subtitles ("TSMC'S 2NM PLAYBOOK", "WHY EUROPE IS BUYING NVIDIA", "KEN LIU ON AI FICTION") rendered correctly. Nano Banana Pro frames it as a "magazine mockup" with restrained whitespace — arguably the more polished editorial design. On clean English typography, Pro has effectively closed the gap — this is its biggest area of improvement.* [7. Math blackboard (special symbols)](#7-math-blackboard-special-symbols) A classroom blackboard with "iℏ ∂ψ/∂t = Ĥψ" and "E = ∫ ψ* Ĥ ψ dx" in white chalk, with annotations "wave function → ψ" and "Hamiltonian → Ĥ" | GPT Image 2 | Nano Banana Pro | |---|---| *Special symbols: Greek psi, reduced Planck's constant ℏ, integral sign ∫, the hat on Ĥ — both models render them correctly. The difference is interpretation: GPT Image 2 follows the prompt literally, putting "wave function → ψ" on its own line. Nano Banana Pro rewrites the annotations into a real-blackboard layout — labels on the sides with arrows pointing into the equations. Both are defensible; pick by whether you want literal execution or "looks-like-a-photo" framing.* [8. Hand-chalked CJK menu (Chinese / Korean / Japanese)](#8-hand-chalked-cjk-menu-chinese--korean--japanese) A handwritten chalkboard menu, today's specials in three languages stacked: Chinese "今日特推 · 麻辣牛肉面 ¥38", Korean "오늘의 추천 · 매운 소고기 라면 ₩12,000", Japanese "本日のおすすめ · 辛口牛肉ラーメン ¥1,200" | GPT Image 2 | Nano Banana Pro | |---|---| *Tri-script handwritten chalkboard: CN / KR / JP across three lines, plus numerals and three currency symbols (¥ / ₩ / ¥) — both models render every CJK character correctly. 麻辣牛肉面 / 매운 소고기 라면 / 辛口牛肉ラーメン all spelled right on both sides. This is the most notable data point for Pro's progress: in a handwritten chalk style with mixed scripts, Nano Banana Pro has caught up. We resampled twice — the result is reproducible, not a fluke. Style-wise, GPT Image 2 leans square / tightly cropped studio sample; Nano Banana Pro leans wider with more visible wood-frame texture. For Asian-market F&B branding, either works — pick by composition preference.* [Screenshot Battery (10 Scenarios)](#screenshot-battery-10-scenarios) We ran 10 common "AI-generated screenshot" scenarios in a single batch — WeChat / Discord / Product Hunt / Twitter / Reddit / LinkedIn / Payment success / Stripe / Feishu (Lark) / Douyin live. **Headline: 10 / 10, both models render every prompted character correctly — no text errors on either side**. The gap shifted away from "is the text spelled right" and into two more subtle dimensions: UI completeness, and the secondary text the model invents to fill the scene. Pair-by-pair: [9. WeChat chat screenshot](#9-wechat-chat-screenshot) A WeChat chat screenshot on iPhone, light mode. Top: "李明 (产品经理)". Bubbles: "明天发布会的 PPT 我刚发到群里了，你看一下文案部分" / "收到，10 点前给反馈" / "辛苦了！晚安🌙" | GPT Image 2 | Nano Banana Pro | |---|---| *Chinese chat: every prompted string lands character-for-character on both sides — contact name, three messages, timestamps. Nano Banana Pro added the input-bar placeholder "发送给 李明（产品经理）" — a small bonus. Tied.* [10. Discord community](#10-discord-community) A Discord desktop screenshot, dark theme. Server "AI Builders", channel "# general". Three messages: sarah_codes "Just shipped v2.3! Check it out 🚀" / mike_dev "Nice! How did the migration go?" / sarah_codes "Smoother than expected — 0 downtime, full rollback ready" | GPT Image 2 | Nano Banana Pro | |---|---| *Discord: English chat + usernames + timestamps all correct. Nano Banana Pro nails the blue selected-channel highlight (closer to real Discord); GPT Image 2 even fills in the bottom-left user pill "builder_bot". Both presentable.* [11. Product Hunt launch page](#11-product-hunt-launch-page) A Product Hunt product page. Product "ImagesV2", tagline "AI image generation that actually renders text". Big orange "▲ UPVOTE 247", badge "🥇 #1 Product of the Day", "324 followers · 18 comments", "@hunter_jane: Finally an AI tool that gets typography right!" | GPT Image 2 | Nano Banana Pro | |---|---| *Text-equal. GPT Image 2 builds the entire PH page shell — top nav (Products / Community / Launches / Jobs / Sign in / Sign up), "Made by" with 4 maker avatars, comment row with avatar — looks like a real screenshot. Nano Banana Pro renders only the product card itself, more like a design mock.* [12. Twitter / X tweet](#12-twitter--x-tweet) An X tweet by @AnthropicAI: "Claude 4.7 can now hold 100k+ tokens of context with 99% accuracy on needle-in-haystack tests. Available today on the API." Stats: "💬 1.2K · 🔁 8.4K · ❤️ 47K · 👁 892K" | GPT Image 2 | Nano Banana Pro | |---|---| *Tweet: every engagement number — 1.2K / 8.4K / 47K / 892K — correct on both. GPT Image 2 produces the clean tweet card the prompt asked for; Nano Banana Pro wraps it in a "phone in hand" photo (fingers, phone bezel, blurred background) without being asked. Use GPT2 for screenshot assets, NBP for the "I just posted this" lifestyle shot.* [13. Reddit hot post](#13-reddit-hot-post) r/MachineLearning post: "I trained a 7B model on a single RTX 4090 and beat GPT-3.5 on reasoning". u/ml_hacker_42 · 6h ago. ▲ 2.4k. 847 comments. Top comment: u/transformer_dad: "This is wild — what dataset did you use?" ↑ 312 | GPT Image 2 | Nano Banana Pro | |---|---| *Reddit: title, username, vote count, comment all correct. GPT Image 2 again builds the full Reddit top nav — hamburger, logo, search, +, bell, profile avatar — completing the real-screenshot illusion. Nano Banana Pro renders only the post card. Same pattern as Product Hunt.* [14. LinkedIn endorsement](#14-linkedin-endorsement) A LinkedIn post by Chen Wei, Senior Engineer at Stripe · 3rd. "Excited to share that I've been promoted to Staff Engineer this week 🎉 Huge thanks to my mentor and the entire payments team for the trust and support over the past 4 years." 142 reactions · 23 comments | GPT Image 2 | Nano Banana Pro | |---|---| *LinkedIn: two paragraphs of body text + reactions row + Like / Comment / Repost / Send action bar all correct. Nearly a pure tie — UI completeness is comparable too.* [15. Payment success screen](#15-payment-success-screen) A mobile payment success screen, large green checkmark, title "支付成功", amount "¥299.00". Details: "订单号: 20260426174233", "商户: imagesv2.ai 年度订阅", "支付时间: 2026-04-26 17:42:33", "支付方式: 余额支付". Button "完成" | GPT Image 2 | Nano Banana Pro | |---|---| *Payment screen: every Chinese label, the 14-digit order number, the timestamp, the amount — all exact on both. GPT Image 2 outputs a full-screen mock you can drop straight into a deck; Nano Banana Pro frames it inside an iPhone bezel as a product shot. Both are common use cases.* [16. Stripe dashboard](#16-stripe-dashboard) A Stripe dashboard. Sidebar: Payments / Customers / Subscriptions / Invoices / Reports. Header: "Payments overview · Last 7 days". Big metric: "$48,237.50 Net volume +12.3% vs last week". Chart Apr 20–26. Recent payments table with 3 rows: $29 Pro Monthly / $99 Team Annual / $29 Pro Monthly with emails [[email protected]],[[email protected]],[[email protected]] | GPT Image 2 | Nano Banana Pro | |---|---| *Stripe: the headline metric, percentage delta, all 3 transaction rows, and all 3 email addresses are correct on both. Nano Banana Pro wraps it in a Safari window (URL bar shows stripe.com, traffic-light buttons present — closer to a real screenshot), but renames the prompt's "Product" column to "Description" — a small deviation. GPT Image 2 follows the prompt strictly.* [17. Feishu (Lark) chat](#17-feishu-lark-chat) A Feishu group chat "产品技术周会 (8)". Three messages: 王浩 "下周二的 review 会议改到周三下午 3 点，地点不变" 10:32 / 张敏 "收到，会议室已经重新预订" 10:33 / 王浩 "@张敏 麻烦把 PRD 链接也同步到云文档" 10:35 | GPT Image 2 | Nano Banana Pro | |---|---| *Feishu: Chinese messages, timestamps, and the blue @张敏 highlight all correct on both. GPT Image 2 wins UI completeness by a wide margin — left rail (消息 / 视频会议 / 日历 / 云文档 / 多维表格 / 通讯录 / 更多), right rail (云文档 / 多维表格 / 日历 / 更多), top search bar with ⌘+K, bottom input area with emoji / @ / scissors / + icons — every one of those ten secondary UI labels is rendered with correct Chinese characters. Nano Banana Pro renders only the chat panel and adds a stray full-width comma after @张敏. For "complete product screenshot" use cases, only GPT2 ships.* [18. Douyin (TikTok China) livestream](#18-douyin-tiktok-china-livestream) A Douyin livestream, vertical phone format. Top left: "小薇美妆" with red "正在直播" badge and "1.2万人在线". Center: smiling streamer holding lipstick. Three chat overlays: "用户A: 好看！这个色号叫什么？" / "用户B: 主播能展示一下试色吗" / "用户C: 已下单！发货快吗？". Bottom action bar with cart "98" | GPT Image 2 | Nano Banana Pro | |---|---| *Douyin: streamer name, "正在直播" badge, "1.2万人在线", and all three Chinese chat messages — correct on both. The Easter egg is on the GPT Image 2 side — it added a promo standee behind the streamer that wasn't in the prompt: 「今日福利 / 全场美妆 / 满199减30 / 关注主播 / 领取专属优惠券」. None of those CJK characters were prompted, and every one of them is rendered correctly. This is the strongest implicit signal of GPT Image 2's text reserves: it doesn't just spell what you ask for — it fills in everywhere a real scene "should" have text and gets that right too. Nano Banana Pro wraps the scene in an iPhone frame as a marketing product shot.* [Screenshot Battery — Takeaways](#screenshot-battery--takeaways) 10/10 prompted strings correct on both sides — **this is Nano Banana Pro's most dramatic catch-up category**. But the gap didn't disappear, it shifted to two subtler dimensions: **UI completeness**— given the same prompt, GPT Image 2 tends to build the entire product shell (PH top nav, Reddit top nav, Feishu's left + right rails + input area + ⌘+K search), while Nano Banana Pro renders only the prompt's core panel and adds a browser/phone frame to provide context. For "looks like a real screenshot" assets, GPT2 ships in one shot; with NBP, you'll need to composite the chrome yourself**Hidden text reserves**— GPT Image 2 invents text where a real scene "should" have it (the Douyin promo standee is the smoking gun) and gets that text right too. In complex scenes, this means a lower failure rate Updated heuristic: **single-UI-block screenshots — NBP is now good enough and arguably more "lifestyle-shot"**; **full product-shell or complex multi-module screenshots — GPT2 still wins**. [Capability Matrix](#capability-matrix) | GPT Image 2 | Nano Banana Pro | | |---|---|---| | Text rendering accuracy | ~99% glyph accuracy | ~94% — major improvement | | Multilingual (CJK, Hindi, Bengali) | Native, all scripts | Partial — CJK improved, Indic still weak | | Native reasoning | Yes (Thinking Mode) | Limited — pre-generation planning | | Edit stability | High — faces, text, layout preserved | Medium-high — small elements drift | | Speed (typical) | Under 3 seconds | 2–4 seconds | | Image price | $0.04 – $0.35 | $0.06 – $0.30 | | Max resolution | 2048 × 2048 (4K upscale) | 2048 × 2048 | | Best for | Text-heavy, multilingual, editing flows | Photorealism, dense scenes (English-only) | [When to Choose Which](#when-to-choose-which) [Choose GPT Image 2 if](#choose-gpt-image-2-if) - Text accuracy must be flawless — every character has to be right - You need CJK or other non-Latin scripts - Editing precision is critical — brand work, design iteration, ad variants - You're already on the OpenAI / imagesv2.ai stack [Choose Nano Banana Pro if](#choose-nano-banana-pro-if) - Pure photorealism is the priority and the image has little or no text - Output is English-only and "good enough" text accuracy is acceptable - You're already on Google Cloud and want unified billing - You want a strong B-model to A/B against your primary [Our Verdict](#our-verdict) This is the first time Google has a model that genuinely competes with OpenAI on image quality. For English-only photorealistic work, Nano Banana Pro is a real alternative — sometimes the skin texture and cinematic lighting are even better. But the text gap is still real: 94% vs 99% means roughly 1 in 20 generations needs a redo. For multilingual or text-heavy work, GPT Image 2 is still the safer default. Our team uses GPT Image 2 as the primary and Nano Banana Pro for purely aesthetic A/B variants. [Try It Yourself](#try-it-yourself) Take any of the hard-mode prompts above to [imagesv2.ai](/) and run it on GPT Image 2. Sign up to grab free credits and see the output for yourself.