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Rapidata SVG Benchmark just landed on ModelScope, comparing 30 frontier LLMs on static SVG generation from text prompts, with 1.35M+ human votes across preference, coherence, and prompt alignment. 🚀 🤖 📊 Scale: 188,754 head-to-head comparisons, 500 prompts, 14,872 rasterized SVG images, and 1,355,161 human responses 🎨 Evaluation target: raw SVG markup generated by LLMs, rendered to 768x768 PNGs, then ranked by humans instead of automated metrics 🏆 Overall ranking: Claude Fable 5 Thinking leads with 1232.9 ELO, followed by Claude Fable 5 and Gemini 3.1 Pro Preview License: CC-BY-4.0 for the benchmark prompts, with generated outputs governed by each model provider's terms.
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As “draw an SVG pelican riding a bicycle” nears saturation we must expand to harder variations—like an SVG pelican on a bicycle chasing you through the Backrooms. Here’s Claude Fable 5 Max:
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hey @simonw - given pelican on a bike svg is now saturated (?), what's your go-to vibe check for a model/ harness these days?
I gave Fable 5.1 the SVG of my blog logo and told it to make a Pixar x Grok Bot animation mashup and it did not disappoint. It even added sound effects with Web Audio. Pointless, but fun!
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GPT-6 Astra vs GPT-5.6 on the same SVG task (pelican on a bicycle): Higher effort = cleaner drawings. But look at the cost: Astra Max → 63¢ Sol Max → 32¢ Terra Max → 26¢ Luna Max → 1.6¢ Same prompt. Very different bills.
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