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Unannounced Next-Gen Google Gemini Model Spotted Testing SVG Generation on Benchmarks

Leaks from benchmark platforms like Chatbot Arena indicate Google is testing an unannounced next-generation Gemini model, codenamed "Argon," under placeholder aliases. Early user reports demonstrate its capability in generating complex code-based SVG vector graphics from textual prompts. Direct SVG code generation enables LLMs to produce clean, infinitely scalable vector graphics without relying on traditional pixel-based image diffusion models. High proficiency in complex SVG rendering reflects significant improvements in visual reasoning and structured spatial code generation for upcoming AI models. The model appeared on testing leaderboards under placeholder labels like "gemini-3.8-flash" to conduct blind human preference testing. Testers highlighted its ability to accurately render difficult spatial compositions—such as a pelican riding a bicycle—directly via clean SVG code.

## BACKGROUND

Scalable Vector Graphics (SVG) is an XML-based vector format that defines images using formulas, geometric paths, and color attributes rather than pixel grids. Generating functional SVG code requires an AI to understand spatial layout, graphics syntax, and visual structure simultaneously. LMSYS Chatbot Arena is a widely used benchmark platform that evaluates LLM performance through crowdsourced side-by-side blind comparisons.

## REFERENCES

## KEYWORDS

#AI#Google Gemini#LLM#Multimodal AI#Benchmarks

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Unannounced Next-Gen Google Gemini Model Spotted Testing SVG Generation on Benchmarks | Daily News