ImageBench

ImageBench V1 —

192 evaluations across 6 categories

Benchmark V1 verdicts are produced by VLM judges and can contain mistakes. Treat PASS/FAIL labels as machine-assisted assessments, and inspect the images yourself. Learn more about the methodology.

Generation Details

Source-backed model context, size, cost, and request settings for this ImageBench V1 run.

fal/reve/2.1

API

Reve 2.1 is Reve AI's flagship text-to-image model, generating natively at 4K (4096x4096) with layout intelligence — it reasons about structure and spatial hierarchy before generating. It is a standout at in-image typography (including foreign scripts) and ranks #2 on the Text-to-Image Arena, well suited to posters, packaging, and marketing design. The older fal-ai/reve/text-to-image endpoint serves the earlier Reve Image 1.0.

Maker
Reve AI
Family
Reve Image 2.1
Model Size
not disclosed
unknown
Cost
/bin/bash.04 / image
high
Run Target
fal/reve/2.1/text-to-image
Effective Request
aspect_ratio: 1:1 · seed: 7
74.8
Overall
80%
Capability
69.9
Est. Preference
153
Pass
39
Fail
45.0s
Avg Latency
24.0s
Min Latency
78.0s
Max Latency
Text Rendering100%Spatial Reasoning86%Human realism67%Truthfulness56%Professional Studio93%Graphical design88%Preference70%Latency0%

All 192 generations

Text Rendering100%

Typography Style100%

Writing accuracy100%

Spatial Reasoning86%

Attributes Binding100%

Compositionality100%

Counting100%

Negation89%

Relative Position83%

Scale & Proportions44%

Human realism67%

Faces & Expressions92%

Full Body25%

Hands92%

Multi-Subject50%

Truthfulness56%

Photorealism33%

Physics & Reflections50%

World Knowledge67%

Professional Studio93%

Camera & Lighting92%

Color Precision92%

Photorealism100%

Graphical design88%

Data Visualisation33%

Layout & Design100%

Style Diversity92%