SVG-Bench
SVG-Bench is an internal benchmark that comprehensively evaluates SVG generation performance. It accepts text and image inputs across build-from-scratch and edit-based tasks, using a VLM to verify rendering accuracy of the generated outputs.
MiniMax M3 from MiniMax currently leads the SVG-Bench leaderboard with a score of 0.637 across 1 evaluated AI models.
What SVG-Bench measures
SVG-Bench is a multimodal benchmark that evaluates large language models on multimodal, agents, and code tasks. LLM Stats tracks 1 model on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.6, with the leader reaching 0.6.
Compare leaders on the best AI for multimodal, best AI for agents and best AI for code leaderboards.
MiniMax M3 leads with 63.7%.
Progress Over Time
Interactive timeline showing model performance evolution on SVG-Bench
SVG-Bench Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  MiniMax M3New MiniMax | — | 1.0M | $0.60 / $2.40 |
FAQ
Common questions about SVG-Bench.
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