Datasets:
| cff-version: 1.2.0 | |
| title: "AI Design Benchmark" | |
| message: "If you use this data, please cite it and link the FontVibe article of the benchmark you used, e.g. https://fontvibe.ai/blog/gpt-6-1-terra-vs-claude-gemini-design-test." | |
| type: dataset | |
| authors: | |
| - name: "FontVibe" | |
| website: "https://fontvibe.ai" | |
| abstract: >- | |
| Open data from FontVibe's benchmarks of AI models doing design work with | |
| text. 2026-10-llm-designer: eight language models (GPT-6.1 Terra, GPT-5.6 | |
| Terra, GPT-6.1 Sol, GPT-6 Luna, Claude Opus 5.5, Claude Sonnet 5.5, Gemini 4 | |
| Argon, Gemini 3.8 Flash) act as the designer in a fixed design pipeline, on 12 | |
| briefs in four layers and six languages, three runs each (288 runs, 269 ranked | |
| designs plus 18 side-note reruns), scored blind. Two image-model benchmarks (Grok Imagine 2.0, Qwen Image 3.0) compare | |
| text rendering on ten design jobs. Every brief, output, image link, score and | |
| written reason is included; a script recomputes the published tables of the | |
| llm-designer benchmark. | |
| keywords: | |
| - benchmark | |
| - large language models | |
| - graphic design | |
| - typography | |
| - text-to-image | |
| - evaluation | |
| - AI design | |
| license: CC-BY-4.0 | |
| url: "https://fontvibe.ai/blog/gpt-6-1-terra-vs-claude-gemini-design-test" | |
| repository-code: "https://github.com/Funovate-Technology/ai-design-benchmark" | |
| doi: "10.5281/zenodo.23803802" | |
| version: "1.0.1" | |
| date-released: "2026-10-31" | |