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Mixer AI › Knowledge Base › Comparison › Seedream 4.5 vs Seedream 5 Flash: technical and visual comparison

Seedream 4.5 vs Seedream 5 Flash: technical and visual comparison

This compares two models that are available in the current Mixer AI catalog. The table below is built from current product controls, while the visual section shows what to inspect with the same inputs and prompt instead of inventing one universal winner.

Key differences

Seedream 4.5: Product scenes, characters and reference-based edits at 2K or 4K.
Seedream 5 Flash: Generate and edit images at 1K/2K with up to 10 input photos and eight aspect ratios.
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

SpecSeedream 4.5Seedream 5 Flash
Generation modesfrom text / photo editingfrom text / photo editing
Input photosup to 14up to 10
Resolutions2K / 4K1K / 2K
Aspect ratios9:16 / 16:9 / 1:1 / 4:3 / 3:4 / 3:2 / 2:3 / 21:99:16 / 16:9 / 1:1 / 4:3 / 3:4 / 2:3 / 3:2 / 21:9
Prompt limit3,000 characters5,000 characters
Price, 1 image · 2K7 coins4 coins

What to compare visually

For a fair A/B test, use the same prompt, aspect ratio and references. Inspect more than overall style: object preservation, geometry, faces and hands, fine detail, text in the frame and unintended changes during editing.

What to inspect with Seedream 4.5

Product scenes, characters and reference-based edits at 2K or 4K.

What to inspect with Seedream 5 Flash

Generate and edit images at 1K/2K with up to 10 input photos and eight aspect ratios.

How to run a fair comparison

What we compare

FAQ

How should I compare Seedream 4.5 and Seedream 5 Flash fairly?

Use a workflow both models share, keep inputs and prompt identical, then run several generations. Compare prompt adherence, visual consistency and the price of the setting you need as separate dimensions.

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