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Image models

Choose an image model

Compare the settings available for each model, then open your choice in the Image Studio.

Nano Banana 2 Lite

Efficient
Model details
Model ID
gemini-3.1-flash-lite-image
Reference price
$0.025/ call
Output sizes
1K
API format
Gemini native

Quick drafts and frequent 1K work

Nano Banana 2

Balanced
Model details
Model ID
gemini-3.1-flash-image
Reference price
$0.055/ call
Output sizes
512 / 1K / 2K / 4K
API format
Gemini native

Everyday generation, editing, and flexible output sizes

Nano Banana Pro

Professional
Model details
Model ID
gemini-3-pro-image
Reference price
$0.09/ call
Output sizes
1K / 2K / 4K
API format
Gemini native

Complex instructions and final production assets

GPT Image 2 VIP

Exact sizes
Model details
Model ID
gpt-image-2-vip
Reference price
$0.03/ call
Output sizes
1K / 2K / 4K
API format
OpenAI Images

Pixel-specific output and quality controls

GPT Image 2.5 Flare

Exact sizes
Model details
Model ID
gpt-image-2.5-flare-vip
Reference price
$0.03/ call
Output sizes
1K / 2K / 4K
API format
OpenAI Images

Pixel-specific output and quality controls

GPT Image 2.5 Sunburst

Exact sizes
Model details
Model ID
gpt-image-2.5-sunburst-vip
Reference price
$0.03/ call
Output sizes
1K / 2K / 4K
API format
OpenAI Images

Pixel-specific output and quality controls

Start from the job, not a universal winner

Test with your own prompt

Use the same prompt and reference images in the Image Studio, then choose the result that fits your task and budget.

Test record

YingTu test results

This section shows only YingTu test results that are ready for public review. When no result is available, we say so instead of showing draft data.

No published result

Product appearance consistency

Whether the product’s shape, proportions, colors, logo, and packaging text remain consistent.

No published result

Background replacement

Whether the subject and its edges remain intact while only the requested background changes.

No published result

Text accuracy

Spelling, capitalization, readability, placement, and any text that was not requested.

No published result

Following multi-part prompts

Completion, omission, or conflict across instructions that can be checked separately.

No published result

Output size accuracy

The selected dimensions compared with the decoded image size. This does not measure visual quality.

No published result

Subject consistency

Identity, shape, and color across outputs, plus any unintended changes.