multimodal benchmark
ChartMuseum is a multimodal chart question-answering benchmark with 1,162 expert-annotated questions over real-world chart images from 184 sources.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAN | Score86.70% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis chartmuseum AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Claude Sonnet 5 currently leads ChartMuseum with 86.70%. 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 ChartMuseum measures and how its scores work.
ChartMuseum is a benchmark covering academic figures, infographics, and unconventional chart designs.
It measures performance on questions requiring visual reasoning, including comparing unlabeled visual elements, tracking trajectories, and judging spatial relationships, using the Score metric with a ratio unit.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about ChartMuseum.
Claude Sonnet 5 is currently ranked first with 86.70%.
The current leaders are Claude Sonnet 5 (86.70%).
Claude Sonnet 5 has the lowest matched official input price at $2.0 input / $10 output per 1M tokens.
The fastest matched records are Claude Sonnet 5 (42.00 tok/s via Anthropic).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures performance on questions requiring visual reasoning, including comparing unlabeled visual elements, tracking trajectories, and judging spatial relationships, using the Score metric with a ratio unit.
Yes. Higher values rank better for this benchmark.
1 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.