Mixer AI
GPT Image 2.6 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.
Key differences
Specifications
| Spec | GPT Image 2.6 | Topaz Image Upscaler |
|---|---|---|
| Model variants | Flare / Sunburst | Topaz Image |
| Generation modes | from text / photo editing | — |
| Input photos | up to 16 | up to 1 |
| Resolutions | 1K / 2K / 4K | 2x / 4x |
| Aspect ratios | 9:16 / 16:9 / 1:1 / auto / 3:2 / 2:3 / 4:3 / 3:4 / 5:4 / 4:5 / 2:1 / 1:2 / 21:9 / 9:21 / 3:1 / 1:3 | 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 GPT Image 2.6
Flare for fast series, Sunburst for careful edits: 16 aspect ratios, up to 16 photos and 4K.
- Flare and Sunburst: from text, or editing when 1 to 16 photos are added.
- 1K, 2K or 4K quality; 1, 2 or 4 results per run.
- A transparent background works at 1K only: the switch is hidden at 2K and 4K.
- Check faces, lettering and brand elements at full size: a variant name does not guarantee exact preservation.
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.
What we compare
FAQ
How should I compare GPT Image 2.6 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.