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A head-to-head benchmark comparison of Aria across 6 evaluations.
Information comes in diverse modalities. Multimodal native AI models are essential to integrate real-world information and deliver comprehensive understanding. .
Full Aria specs →| Benchmark | Aria |
|---|---|
| general | |
| MMLU | 73.3% |
| math | |
| MATH | 50.8% |
| multimodal | |
| ChartQA | 86.4% |
| DocVQA | 92.600 |
| MMMU | 54.9% |
| MathVista | 66.1% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
This comparison covers 6 benchmarks on which at least one of the selected models has a published score.
Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.
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