Canonical page: https://mixerai.org/en/knowledge/compare/gpt-image-2-5-vs-topaz-image/ [Mixer AI](https://mixerai.org/) › [Knowledge Base](https://mixerai.org/en/knowledge/) › [Comparison](https://mixerai.org/en/knowledge/compare/) › GPT Image 2.5 vs Topaz Image Upscaler: technical and visual comparison # GPT Image 2.5 vs Topaz Image Upscaler: technical and visual comparison 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/?dl=kb_gpt-image-2-5-vs-topaz-image#/canvas) ## Key differences GPT Image 2.5: Flare for exploring ideas, Sunburst for demanding edits, with a shared image creation workflow. Topaz Image Upscaler: Double or quadruple a finished image after completing the edits. Start with the specification table: it reflects current modes, input media, duration, resolution, aspect ratios and a normalized price where a fair comparison is possible. ## Specifications | Spec | GPT Image 2.5 | Topaz Image Upscaler | Model variants | Flare / Sunburst | Topaz Image | Generation modes | from text / photo editing | — | Input photos | up to 16 | up to 1 | Transparent background | Yes | No | Resolutions | 1K / 2K / 4K | 2x / 4x | Aspect ratios | 9:16 / 16:9 / 1:1 / auto / 3:2 / 2:3 / 4:3 / 3:4 / 21:9 / 27:16 / 16:27 / 9:8 / 8:9 | Follows the input | Prompt limit | 20,000 characters | 0 characters | Price per image (different settings) | 7 coins · 1K | 10 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 GPT Image 2.5 Flare for exploring ideas, Sunburst for demanding edits, with a shared image creation workflow. - Flare and Sunburst; up to 16 input photos; 1, 2 or 4 results. - 1K, 2K and 4K, with 13 aspect-ratio options including Auto. These are its own controls, not GPT Image 2's restrictions. - A variant name does not guarantee edit accuracy. Check faces and lettering. - Do not assume every option in another platform is available here; use the Mixer AI controls. ## 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. ## What we compare [ GPT Image 2.5 Flare for exploring ideas, Sunburst for demanding edits, with a shared image creation workflow. ](https://mixerai.org/en/knowledge/image/gpt-image-2-5/)[ 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 GPT Image 2.5 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. This page is generated only for models in the current public Mixer AI catalog; if a model leaves the catalog, the automated comparison must stop passing validation. Which model is better? There is no universal answer. First eliminate a model that cannot accept the input, duration, resolution or format you need, then compare outputs on your own scene. The table highlights only measurable advantages in individual specifications. ## See also [GPT Image 2 vs GPT Image 2.5: model comparison→](https://mixerai.org/en/knowledge/compare/gpt-image-2-vs-gpt-image-2-5/)[GPT Image 2 vs Topaz Image Upscaler: technical and visual comparison→](https://mixerai.org/en/knowledge/compare/gpt-image-2-vs-topaz-image/)[GPT Image 2.5 vs Midjourney: technical and visual comparison→](https://mixerai.org/en/knowledge/compare/gpt-image-2-5-vs-midjourney/)[GPT Image 2.5 vs Nano Banana: technical and visual comparison→](https://mixerai.org/en/knowledge/compare/gpt-image-2-5-vs-nano-banana/) [Try it on Mixer AI](https://mixerai.org/?dl=kb_gpt-image-2-5-vs-topaz-image#/canvas)