vs

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/google/nano-banana-pro

API

Nano Banana Pro is Google DeepMind's higher-end image generation and editing model built on Gemini 3 Pro, designed for more accurate visuals, stronger reasoning, and better text rendering across Google products and APIs.

Maker: Google DeepMind
Family: Nano Banana Pro / Gemini image generation
Model Size: not disclosed
unknown
Cost: $0.15 / image
high
Run Target: fal/fal-ai/nano-banana-pro
Effective Request: aspect_ratio: 1:1 · resolution: 1K · num_images: 1 · output_format: png
Sources: Introducing Nano Banana Pro Google Cloud Nano Banana 2 and Nano Banana Pro GA Nano Banana Pro on fal

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
Sources: Reve 2.1 (Text to Image) API on fal Reve 2.1 — Native 4K Image Generation with Layout Intelligence (fal)