Canonical page: https://mixerai.org/en/knowledge/compare/nano-banana-2-1-vs-topaz-image/ Prices on this page are live: current values come from https://mixerai.org/api/knowledge/prices?lang=en. A dash means the value did not load. [Mixer AI](https://mixerai.org/en/) › [Knowledge Base](https://mixerai.org/en/knowledge/) › [Comparison](https://mixerai.org/en/knowledge/compare/) › Nano Banana 2.1 vs Topaz Image Upscaler: specs and price # Nano Banana 2.1 vs Topaz Image Upscaler: specs and price Both models are available in the current Mixer AI catalog, but they solve different jobs within the same media type. This page therefore does not label one as universally better: the table shows compatible inputs, limits and pricing, while the visual section separates valid A/B checks from different workflow stages. [Try it on Mixer AI](https://mixerai.org/en/#/canvas?dl=kb_nano-banana-2-1-vs-topaz-image) ## Key differences Nano Banana 2.1: The new Nano Banana: up to 10 references, 15 aspect ratios and quality up to 4K. Topaz Image Upscaler: Double or quadruple a finished image after completing the edits. ## Specifications | Spec | Nano Banana 2.1 | Topaz Image Upscaler | Generation modes | from text / photo editing | — | Input photos | up to 10 | up to 1 | Resolutions | 1K / 2K / 4K | 2x / 4x | Aspect ratios | 9:16 / 16:9 / 1:1 / auto / 2:3 / 3:2 / 1:4 / 4:1 / 3:4 / 4:3 / 4:5 / 5:4 / 1:8 / 8:1 / 21:9 | Follows the input | Prompt limit | 20,000 characters | 0 characters | Price per image (different settings) | — coins · 1K | — coins · 2× There is no shared resolution for a direct price comparison, so each price includes its setting and is not highlighted as cheaper. ## What to compare visually Do not force tools with different jobs into the same test. First compare the inputs each one accepts and the output it is meant to produce. If they share a workflow, run an A/B test on the same source; otherwise judge each at its own stage: generation, Motion Control, avatar creation or upscaling. ## What to inspect with Nano Banana 2.1 The new Nano Banana: up to 10 references, 15 aspect ratios and quality up to 4K. - From text or from photos: 1 to 10 JPG, PNG or WebP images, up to 30 MB each. - 1K, 2K or 4K; 15 aspect ratios, including Auto and very narrow or wide ones. - Ten references is a ceiling, not a recommendation for every task. - More pixels do not fix mixed-up characters or a wrong product shape. ## What to inspect with Topaz Image Upscaler Double or quadruple a finished image after completing the edits. - One JPG, PNG or WebP image up to 10 MB. - 2× or 4× enlargement. These multiply width and height; they are not 2K and 4K resolution names. - A heavily blurred original lacks reliable detail for complete recovery. - Enlargement does not replace retouching and can make source defects more noticeable. ## How to run a fair comparison - Identify the workflow stage first: create new media, transfer motion, make a talking avatar, or improve an existing file. - Compare specifications only where they mean the same thing: accepted inputs, limits, available resolution and the real price of the needed mode. - If a shared workflow exists, use the same source. If it does not, do not infer visual quality from non-equivalent outputs. - Tools for different stages can be used sequentially rather than as substitutes. ## Sources Prices, availability and specifications come from the Mixer AI catalog. This is not an independent test: try both models on the same task before choosing. - [Prices and availability — Mixer AI catalog](https://mixerai.org/knowledge/catalog.json) ## What we compare [ Nano Banana 2.1 The new Nano Banana: up to 10 references, 15 aspect ratios and quality up to 4K. ](https://mixerai.org/en/knowledge/image/nano-banana-2-1/) [ Topaz Image Upscaler Double or quadruple a finished image after completing the edits. ](https://mixerai.org/en/knowledge/image/topaz-image/) ## FAQ How should I compare Nano Banana 2.1 and Topaz Image Upscaler fairly? Compare purpose and inputs first. Test any shared workflow on the same source; evaluate different workflows separately by output quality, constraints and the price of that stage. Are both models available in Mixer AI? Yes. Both tools are in the current Mixer AI catalog. They are often used one after the other: for example, one model makes the video and another improves the file. Which model is better? There is no single winner. First rule out the model that does not accept the inputs you need (references, editing) or the resolution you need, then compare results on your own task. The table highlights only measurable differences. ## See also [Nano Banana 2.1 vs Z-Image: specs and price→](https://mixerai.org/en/knowledge/compare/nano-banana-2-1-vs-z-image/) [Nano Banana 2 Lite vs Topaz Image Upscaler: specs and price→](https://mixerai.org/en/knowledge/compare/nano-banana-2-lite-vs-topaz-image/) [GPT Image 2.5 vs Nano Banana 2.1: specs and price→](https://mixerai.org/en/knowledge/compare/gpt-image-2-5-vs-nano-banana-2-1/) [GPT Image 2.5 vs Topaz Image Upscaler: specs and price→](https://mixerai.org/en/knowledge/compare/gpt-image-2-5-vs-topaz-image/) [Try it on Mixer AI](https://mixerai.org/en/#/canvas?dl=kb_nano-banana-2-1-vs-topaz-image)