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Evaluate Image Models
Test and evaluate which models perform best for your prompts.
1
Name & Prompts
Eval name
Unique name for this evaluation experiment. Save this to reference and share your eval results.
Prompts
First Prompt
Question:
uploading…
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Add prompt
Upload prompts
Upload a .txt (one prompt per line), or a .csv with optional image and question columns — select its .zip of reference images together with the CSV.
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2
Models
Auto
Frontier
Budget
OpenAI
Google
Flux
Open weights
Custom
Custom Models
Select at least 2 models to compare.
Close
Model
Publisher
Elo score
Released
Cost
model
selected
Select
Continue
3
Evaluation
Question
Overall preference (default)
Prompt adherence
Image quality
Aesthetics
Realism
Custom…
Raters will be asked:
Select the image you prefer as a completion of the prompt: “{prompt}”
Raters will be asked:
Select the image that more accurately and completely depicts the prompt: “{prompt}”
Raters will be asked:
Select the image with higher overall quality — sharper detail and fewer artifacts or distortions.
Raters will be asked:
Select the image you find more beautiful or visually appealing.
Raters will be asked:
Select the image that looks more like a real photograph or human-made artwork.
Raters answer your question for every image pair.
Write
{prompt}
to insert the prompt text into your question.
Rater
Human raters
Claude Opus 4.5
Qwen3 VL 235B
Who judges the image comparisons — crowdsourced human raters or an AI vision model.
Images per Model per Prompt
Number of images to generate for each model/prompt combination. More images yields a more accurate estimate of model performance.
Comparisons per Model
15
20
25
30
How many head-to-head comparisons each model participates in. More comparisons yields higher confidence in the final ranking.
List this eval publicly
When unchecked, this eval will only be accessible to people who have the link.
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4
Summary
Prompts
·
models
·
Overall preference
Prompt adherence
Image quality
Aesthetics
Realism
Custom question
Image generation
Images
Comparisons
Total
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