multimodal benchmark
SVG-Bench Leaderboard
SVG-Bench evaluates SVG generation performance on text- and image-input tasks involving building from scratch and editing.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
SVG-Bench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score63.70% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
SVG-Bench Highlights
The leading models and scores on this benchmark.
The Top AI Models for SVG-Bench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis svg-bench AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MIMiniMax
- Score
- 63.70%
- Price
- $0.30 input / $1.2 output per 1M tokens
- Speed
- Up to 6.61 tok/s via MiniMax
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures SVG-Bench, not total model capability
Selection summary
Best AI Models for SVG-Bench
MiniMax M3 currently leads SVG-Bench with 63.70%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is SVG-Bench?
What SVG-Bench measures and how its scores work.
SVG-Bench is an internal multimodal benchmark for evaluating SVG generation across build-from-scratch and edit-based tasks.
It measures SVG generation performance and uses a VLM to verify the rendering accuracy of generated outputs, reporting Score as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- SVG-Bench
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about SVG-Bench.
Which model scores highest on SVG-Bench?
MiniMax M3 is currently ranked first with 63.70%.
What are the top three models on SVG-Bench?
The current leaders are MiniMax M3 (63.70%).
Which SVG-Bench model has the lowest official input price?
MiniMax M3 has the lowest matched official input price at $0.30 input / $1.2 output per 1M tokens.
Which models are fastest among SVG-Bench results?
The fastest matched records are MiniMax M3 (6.61 tok/s via MiniMax).
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.