Seedream 4.5 vs GPT Image 2
Campaign polish vs packaging typography
Short answer
Quick comparison
Both models run in the same Gen NanoBanana workbench with per-success credits.
| Dimension | Seedream 4.5 | GPT Image 2 |
|---|---|---|
| Best for | Cinematic campaigns, poster key art, and lifestyle product scenes | Packaging mockups, multilingual signage, and instruction-following edits |
| Text in image | Strong composition; quote exact copy for short headlines | Near-perfect legible typography — nutrition panels, barcodes, UI mockups |
| Resolution | 2K and 4K (nine aspect ratios) | Auto / Low / Medium / High quality tiers (three aspect ratios) |
| References | Multi-reference edits for wardrobe, background, and product swaps | Reference-guided photoreal edits and strict prompt adherence |
| Look | Film-grade color grade and spatial drama | Photoreal edits with crisp type and layout fidelity |
| Credits (2K tier) | 27 | 86 |
When to choose each model
Studio carousel outputs — retail lifestyle vs 3D packaging mockup.


Frequently asked questions
Is Seedream 4.5 or GPT Image 2 better for product photos?
Seedream 4.5 excels at cinematic lifestyle product scenes and retail displays. GPT Image 2 is stronger when label text, barcodes, or multilingual packaging must stay legible. Many teams draft scenes in Seedream and run final packaging shots in GPT Image 2.
Can I use the same prompt on both models?
Yes in Gen NanoBanana Create — paste once and switch models. Seedream leans mood and environment; GPT Image 2 follows quoted strings and layout constraints more literally.
Which model is better for posters?
Seedream 4.5 for entertainment-style key art and dramatic lighting. GPT Image 2 when the poster must render exact headline copy and fine print accurately.
How do credits compare?
Both bill per successful image on Gen NanoBanana. Seedream 4.5 uses 2K/4K tiers; GPT Image 2 uses quality tiers (Auto, Low, Medium, High). See the comparison table on this page or /pricing for current rates.
Keep comparing
Evergreen pick-the-right-model guides with real outputs and credit context.



