AtelierEval - Prompt Constraint Coverage (Novice Prompting): leaderboard
AtelierEval (Luo et al., 2026) tests models as text-to-image prompters: given a user intent (an open-ended request, a structured specification or a target image), the model writes one image-generation prompt. The board is the share of the expert constraint checklist of each task that the prompt itself specifies, checked by a GPT-5.4 judge and averaged over 360 tasks in three categories, in percent (higher is better). The model receives a direct natural-language request to write the prompt.
Metric: Prompt checklist coverage (%; share of each task's expert constraint checklist that the written prompt specifies, checked by a GPT-5.4 AtelierJudge, mean of the open-ended, constrained and imitation categories, 120 tasks each; direct natural-language prompting). Source: arxiv.org. Saturation forecast: Around September 2027. 8 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.2 | 63.3 | #172 |
| 2 | Gemini 3 Pro (Preview) | 59.2 | #111 |
| 3 | Claude Sonnet 4.5 | 54.5 | #244 |
| 4 | Qwen 3 VL 235B A22B | 54.3 | #477 |
| 5 | GPT-4.1 | 50.7 | #492 |
| 6 | GPT-4.1 Nano | 47.8 | #1992 |
| 7 | Gemini 2.0 Flash | 43.5 | #702 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=ateliereval-prompt-constraint-coverage-novice-prompting · How It Works · Data refreshed daily, snapshot 2026-11-12.