OpenRouter Launches Image Model Benchmark Comparison Tool
Score
84首次提供大规模图像模型横向硬提示词评测，覆盖维度全面，信息增量明显。
评测方法透明，包含成本与速度数据，内容结构清晰，具有较高可信度。
对开发者和企业的模型选型有直接参考价值，能降低试错成本。
图像模型迭代迅速，该基准能反映当前模型的相对表现，时效性良好。
OpenRouter 作为知名模型聚合平台，其官方评测具备权威性，但评测维度有限。
Base 84 × T1 Source weight ×1 = 84
Curation line 60Selected
Why selected
The benchmark covers many models with hard prompts and includes cost and speed, making it highly practical.
AI commentary
「This benchmark is a rare reference for image application developers, especially since the hard prompts highlight failure-prone details. If you care about cost and latency, bookmark this — don't choose a model by gut feeling.」
Quick overview
OpenRouter has introduced an image benchmark feature that compares 39 image models side by side on 15 hard prompts, covering text rendering, counting, spatial relations, negation, and editing, with cost and generation time per image. The tool aims to help developers直观 evaluate real model capabilities and support model selection with concrete data.
- Side-by-side comparison of 39 major image generation models
- 15 hard prompts testing text rendering, counting, spatial relations, negation, and editing
- Includes cost and generation time per image to support business decisions
Full text
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