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Nano Banana v2

v2Verified

Generate high-quality images at Flash speed with advanced world knowledge and real-time web-search grounding, making rapid iteration accessible to all Gemini users Maintain subject consistency across up to 5 characters and 14 objects in a single workflow, enabling storyboarding and multi-scene narratives without visual drift Produce production-ready assets from 512px to 4K across a wide range of supported aspect ratios with precise instruction following and vibrant visual fidelity

Reviewed by ToolWorthy Editors·updated 4 months ago

Pricing:Free + from $20/mo
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Pros & Cons

Editor-reviewed

Pros

  • Flash speed for all users — High-quality image generation is now fast enough for real-time iteration, even on free-tier Gemini accounts.
  • Real-time grounding — Web search integration produces more factually accurate renders of real-world subjects, a meaningful upgrade over static model knowledge.
  • Multi-character consistency — Up to 5 characters and 14 objects maintained across scenes; practical for storyboards and multi-angle product visuals.
  • 4K output support — Full resolution control from 512px to 4K eliminates the need to upscale outputs for print-ready assets.
  • Wide platform availability — Available across Gemini, Search, AI Studio, Vertex AI, Flow, and Google Ads with immediate rollout.
  • No additional cost for Gemini users — Free users gain access to a significantly upgraded model with no pricing change.

Cons

  • Nano Banana Pro still required for max fidelity — For tasks demanding the highest factual accuracy or studio-grade quality, Nano Banana Pro remains superior and requires a paid subscription to access.
  • API still in preview — AI Studio and Vertex AI availability is public preview at launch; preview models may change and rate limits apply. Production SLA commitments are not guaranteed in this phase.
  • SynthID watermarking — All generated images carry an invisible SynthID watermark, which may be a consideration for commercial use cases requiring clean outputs.
  • No official local deployment — Unlike open-source alternatives such as FLUX.2, Nano Banana 2 is cloud-only with no option for on-premise inference.

Overview

Nano Banana 2 (officially Gemini 3.1 Flash Image) is Google DeepMind's latest state-of-the-art image generation model, released on February 26, 2026. It bridges the gap between the original Nano Banana Pro's advanced intelligence and the rapid iteration speed of Gemini Flash, making high-quality image creation accessible to every Gemini user — not just paying subscribers.

The model introduces real-time web-search grounding, subject consistency across complex multi-character scenes, production-ready resolution controls up to 4K, and significantly improved visual fidelity. Nano Banana 2 is now the default image model across the Gemini app, Google Search, and Flow, replacing Nano Banana Pro as the standard offering for most users. It also powers creative suggestions during campaign creation in Google Ads.

What's New

Flash-Speed Intelligence with World Knowledge Grounding

Nano Banana 2 brings Gemini Flash's speed together with search-grounded generation — making real-time web grounding available at Flash-tier latency. When generating specific subjects — landmarks, products, public figures, or branded assets — the model is informed by real-time text and image search results, producing more accurate and detailed results than earlier Nano Banana versions. This grounding also enables new use cases like generating data visualizations, infographics, and note-to-diagram conversions that require factual accuracy.

Subject Consistency at Scale

One of the most significant upgrades over the original Nano Banana is subject consistency. Nano Banana 2 can maintain the visual identity of up to 5 characters and the fidelity of up to 14 objects across a single multi-image workflow. This makes it practical for storyboarding, sequential content, character sheets, and multi-angle product catalogs where visual continuity is critical. Previous Nano Banana versions struggled to preserve character appearance across more than 2–3 generations.

Precise Instruction Following

Nano Banana 2 demonstrates significantly improved adherence to complex, multi-layered prompts. The model captures nuanced compositional details — specific angles, lighting conditions, spatial relationships, stylistic references — with fewer iterations required. Users producing mockups, advertising visuals, or editorial content will find less prompt engineering necessary compared to Nano Banana (1.0.0) or competing AI image generators.

Production-Ready Specs: 512px to 4K

Full control over output resolution and aspect ratio is now available, ranging from 512px (lightweight for digital use) to 4K (print-ready). Users can select from a wide range of supported aspect ratios — including 1:1, 16:9, 9:16, 4:1, 1:4, 8:1, and 1:8 — enabling assets to be reused across social, digital, and print channels without re-generation. This brings Nano Banana 2 in line with tools like FLUX.2 and Ideogram 3.0 in terms of professional output specification.

Precision Text Rendering and Translation

Nano Banana 2 inherits Nano Banana Pro's text rendering capabilities at Flash speed. It generates legible, accurately placed text for posters, greeting cards, UI mockups, and marketing materials. Crucially, the model can localize text within an image — translating copy into a target language while preserving layout, style, and visual context — useful for multilingual campaigns without requiring additional design tools.

Visual Fidelity Upgrade

Beyond speed improvements, Nano Banana 2 delivers vibrant lighting, richer textures, and sharper details compared to the original Nano Banana. Photorealistic outputs in particular show marked improvement, with more natural skin tones, accurate material reflections, and better handling of environmental lighting. The upgrade reduces the visual quality gap previously observed between Nano Banana and Nano Banana Pro.

Pricing & Plans

Nano Banana 2 is available through multiple access points, with pricing depending on the platform.

  • Gemini App (Free tier) — Nano Banana 2 is the new default image model across Fast, Thinking, and Pro model modes at no additional cost. Availability and generation quotas vary by region and plan.

  • Google AI Plus / AI Pro / AI Ultra — Tiered monthly plans (see Gemini subscriptions for current pricing; promotional rates may apply). Subscribers retain access to Nano Banana Pro for high-fidelity specialized tasks by using the three-dot regeneration menu in the Gemini app. Nano Banana 2 serves as the default for standard workflows.

  • Gemini API / AI Studio (Preview) — Pay-per-use, billed at $60 per 1M output tokens. Output cost varies by resolution at Standard rates: ≈$0.045 (512px), ≈$0.067 (1K), ≈$0.101 (2K), ≈$0.151 (4K); Batch pricing is lower. Image Search Grounding incurs an additional charge. See the Gemini API pricing table for details. Also accessible via Google Antigravity.

  • Google Cloud / Vertex AI (Preview) — Enterprise pricing through Vertex AI. Contact Google Cloud sales for volume and committed-use discounts.

  • Flow — Nano Banana 2 is the default image model in Google's Flow platform, available to all Flow users at zero credits.

  • Google Ads — Integrated directly for campaign creative suggestions; no separate image generation billing for Ads usage.

Best For

  • Content creators publishing 10+ visuals weekly across social media, YouTube thumbnails, and editorial images who need consistent quality without long wait times.
  • Marketing teams prototyping multilingual campaign assets — posters, ad creatives, localized visuals — without dedicated design tools or translation workflows.
  • Product teams and e-commerce operators maintaining visual consistency across product catalogs, multi-angle shots, and lifestyle scene compositions.
  • Storytellers and storyboard artists requiring character continuity across multi-scene workflows without manually fixing visual drift between frames.
  • Developers integrating image generation into apps via the Gemini API who need a high-quality, cost-efficient Flash-tier model with production-ready specs.
  • Google Ads advertisers seeking automated, on-brand creative suggestions during campaign setup without additional tooling.

FAQ

How does Nano Banana 2 differ from Nano Banana Pro?

Nano Banana Pro is optimized for maximum quality and factual accuracy at higher computational cost — suited for tasks like museum-accurate renderings, complex infographics, or print-grade outputs where correctness matters more than speed. Nano Banana 2 (Gemini 3.1 Flash Image) delivers most of Pro's capabilities at significantly faster generation speeds, making it the better choice for iterative workflows, bulk content creation, and real-time editing. Google AI Pro and Ultra subscribers can still access Nano Banana Pro via the Gemini app's three-dot regeneration menu.

Is Nano Banana 2 available in my country?

Nano Banana 2 is rolling out in 141 new countries and territories at launch, across eight additional languages, via AI Mode and Lens in Google Search. Gemini app availability follows the existing Gemini app availability map. Check Google's availability page for the latest regional status.

Does Nano Banana 2 watermark generated images?

Yes. All images generated by Nano Banana 2 carry an invisible SynthID digital watermark. Google is also coupling SynthID with C2PA Content Credentials, providing metadata that shows not just whether AI was used but how. A visible watermark may appear depending on the platform. The Gemini app's SynthID verification feature has been used over 20 million times since its launch in November 2025.

What is the maximum resolution I can generate with Nano Banana 2?

Nano Banana 2 supports output resolutions from 512px up to 4K, with full control over aspect ratio. This covers vertical social formats, standard 16:9 wide-screen, square compositions, and custom ratios — all within a single generation workflow without needing to re-prompt for different sizes.

Can Nano Banana 2 translate text within images?

Yes. The model can localize and translate text embedded in an image to a target language while preserving the original layout, style, and visual context. This is useful for adapting marketing materials, signage, or informational graphics across multiple markets without recreating designs from scratch.

Version History

v2

Current Version

Released on February 26, 2026

+What's new
3 updates
  • Generate high-quality images at Flash speed with advanced world knowledge and real-time web-search grounding, making rapid iteration accessible to all Gemini users
  • Maintain subject consistency across up to 5 characters and 14 objects in a single workflow, enabling storyboarding and multi-scene narratives without visual drift
  • Produce production-ready assets from 512px to 4K across a wide range of supported aspect ratios with precise instruction following and vibrant visual fidelity

Pro

Released on November 20, 2025

View Update
+What's new
4 updates
  • Render accurate text in multiple languages with advanced clarity for posters, UI mockups and international marketing materials
  • Control lighting, camera angles and aspect ratios with precision, reducing randomness for e-commerce product shots and brand key visuals
  • Generate up to 4K resolution for professional-grade outputs suitable for presentations and print-ready designs
  • Create infographics and diagrams leveraging enhanced world knowledge, helping students convert notes to visuals and analysts build data narratives

Initial

Released on August 26, 2025

+What's new
5 updates
  • Generate and edit images in one unified model via Gemini API, Google AI Studio and Vertex AI, reducing multi-model integration costs for creative tools and SaaS platforms
  • Fuse multiple input images into single outputs for e-commerce product placement and advertising scene composition
  • Maintain character and style consistency across series, ideal for sequential storytelling and multi-angle product catalogs
  • Transform images with natural language like blurring backgrounds or removing stains, enabling batch processing and workflow automation
  • Leverage world knowledge for educational visuals and explanatory diagrams, unlocking new use cases in teaching and documentation

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