imagen-4.0-ultra-generate-001

image 0K context

$0.06 per image
1 provider

What we tested, and what came back

Each capability below is a fixed experiment: the same prompt and the same input images for every model we test. That's what makes these outputs comparable — and it's why the same bicycle shows up on every image model's page.

Stated by the provider — not tested by us
✗ also understands images✗ multi turn editing✗ negative prompts✗ outpainting
Attempted but blocked

We ran these and the provider refused the request — that means we don’t know, not that the model can’t do it.

? Renders a data-faithful infographic? Replaces a target object in place (prompt-based inpainting)
Specs
aspect ratios
1:1, 3:4, 4:3, 9:16, 16:9
max resolution
2K (imageSize '1K'|'2K')
n images per request
4
watermark
SynthID — all generated images (Gemini API); Vertex addWatermark default true
price per image
0.06
speed tier
fast
latency t2i s
0.4
latency i2i s
0.3
availability note
probe access_limited: HTTP 404: { "error": { "code": 404, "message": "This model models/imagen-4.0-ultra-generate-001 is no longer a

Sources: ai.google.dev · ai.google.dev · cloud.google.com

Where to run it

The same model, priced by each provider that serves it. Cheapest first — the card's headline price is the best available anywhere, which is the wrong number for choosing where to actually send your traffic.

ProviderPriceContext
google Not published480Get a key ↗ partner

Rows marked partner may earn us a commission. Ordering is by price only — it is never influenced by what a provider pays us.

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How we test

Every claim is tagged by how we know it. Tested means we ran the model against a fixed prompt and checked the output — the images above are those runs. Researched means it's documented by the provider and cited. Nothing here is inferred.