Model comparison
Nano Banana 2 vs Arrow 2
Compare Nano Banana 2 and Arrow 2 using the same provider-sourced image generation rubric. No mystery score and no invented benchmark ranking.
Facts checked September 19, 2026
Model comparison
Compare Nano Banana 2 and Arrow 2 using the same provider-sourced image generation rubric. No mystery score and no invented benchmark ranking.
Facts checked September 19, 2026
Set your usage. Your estimate updates as you type.
Example output: square 1,024 × 1,024 images. Prices depend on supported resolution and quality; edits and retries can cost extra.
Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.
| Model | Access | Pricing & comparisons |
|---|---|---|
| Nano Banana 2Google | $0.67 | |
| Arrow 2QuiverAI | QuiverAI | $4 input · $20 output / 1M tokens |
Quick take
Google's versatile image workhorse for fast generation, conversational edits, multiple references, grounded imagery, and outputs up to 4K.
There is no free API tier for this model, and grounded generation can add search charges beyond the image price.
QuiverAI's flagship model for turning prompts, images, and existing SVGs into editable vector graphics and micro-animations.
QuiverAI has not published independent quality or speed benchmarks with a reproducible methodology. Test path cleanliness, text and font handling, animation portability, retry rate, and cost per accepted asset. New organizations also default to allowing storage and training until an administrator changes the data controls.
Compare the published facts
Values use each provider's own published units and limits. A blank means the provider did not publish a directly comparable value in the sources reviewed.
| Image generation | Nano Banana 2 | Arrow 2 |
|---|---|---|
| Typical price basisA representative current provider price with its quality or resolution basis. | $0.067 / 1K image | $4 input · $20 output / 1M tokens |
| Maximum outputMaximum documented resolution or pixel area for the listed route. | 0.5K, 1K, 2K, 4K | Resolution-independent editable SVG |
| Core tasksWhether the model supports generation, editing, or both. | Generation and conversational editing | Generate, edit, vectorize, and animate SVG |
| Reference imagesHow the model can use images to guide or edit an output. | Multiple references and multi-turn edits | Up to 14 reference images |
| Text & layoutProvider-documented positioning for typography and structured composition. | Improved multilingual text rendering | Structured SVG output; test fonts, paths, and editable text |
| API accessDirect and notable third-party routes included in this guide. | Gemini API, fal | Quiver app, direct API, and Vercel AI Gateway |
How to choose
Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.
Google says paid Gemini API content is not used to improve its products. Unpaid-service terms differ, so confirm that the project is attached to an active billing account before sending confidential material.
Provider and API links
New QuiverAI organizations default to allowing storage and model training. Organization and project settings can restrict data to benchmark storage without training or forbid storage, with the strictest setting taking precedence. QuiverAI says SOC 2, ISO 27001, SSO/SAML, and SCIM are not currently available.
Frequently asked questions
Nano Banana 2: Google's versatile image workhorse for fast generation, conversational edits, multiple references, grounded imagery, and outputs up to 4K. Arrow 2: QuiverAI's flagship model for turning prompts, images, and existing SVGs into editable vector graphics and micro-animations.
Consider Nano Banana 2 when your priority is Conversational image editing. Consider Arrow 2 when your priority is Editable icons, illustrations, and design-system assets. Test both with your own data and provider route before committing.
No. This comparison aligns provider-published facts for the Image generation category. It does not claim a universal winner or combine incompatible third-party benchmark scores.