# Evalytic Image Models Leaderboard

Run on fal.ai · 2026-03-12 · 2 models · 1 prompts · Judge: gemini-2.5-flash
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### VLM Dimensions

VLM Total 80%
Visual Quality 33%
Prompt Adherence 33%
Text Rendering ⓘ 33%

### Deterministic Metrics

Deterministic Total 20%
CLIP Score 40%
Sharpness 30%
Aesthetic 30%

Image model leaderboard ranked by overall score
# | Model | Family | $/img | Overall | VQ | PA | TR | CLIP | Sharp | Aesthetic | Score/$ | imgsys | Time | Seed | fal.ai
--- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ---
1 | Z-Image Turbo | Other | $0.005 | 4.90 | 5.0 | 5.0 | 5.0 | 0.358 | 0.943 | — | 980 | 1080 | 2.2s | 42 | Try →
2 | FLUX.1 [schnell] | Black Forest Labs | $0.003 | 4.55 | 4.0 | 5.0 | 5.0 | 0.313 | 0.945 | — | 1517 | 950 | 1.4s | 42 | Try →

How We Score

- 2 models evaluated on fal.ai infrastructure
- 1 curated prompts from PartiPrompts, DrawBench, OneIG-Bench + custom
- Judge: gemini-2.5-flash
- 3 VLM dimensions: Visual Quality, Prompt Adherence, Text Rendering (text prompts only)
- Deterministic metrics: CLIP Score, Sharpness, Aesthetic Score
- Seed: 2 models with seed=42 (reproducible), 0 models use median of 3 runs (metadata-derived from model roster)
- Resolution: landscape_4_3 (all models), fal.ai default parameters
- Default weighting: 80% VLM + 20% deterministic (editorial default, customizable above)
- Overall formula: 1 + 4 × (vlm_w × (vlm_avg − 1)/4 + det_w × det_avg)
- Date: 2026-03-12

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