multimodal benchmark
AI2D
AI2D is a dataset of 4,903 illustrative diagrams from grade school natural sciences (such as food webs, human physiology, and life cycles) with over 15,000 multiple choice questions and answers. The benchmark evaluates diagram understanding and visual reasoning capabilities, requiring models to interpret diagrammatic elements, relationships, and structure to answer questions about scientific concepts represented in visual form.
Updated Aug 11, 2026
Models32
Model coverage32
MetricScore
EvidenceB
AI2D Ranking
Higher score ranks better on this benchmark.
AI2D Score Distribution
A closer view of the leading scores on this benchmark.
AI2D Highlights
The leading models and scores on this benchmark.
What is AI2D?
What AI2D measures and how its scores work.
AI2D is a dataset of 4,903 illustrative diagrams from grade school natural sciences (such as food webs, human physiology, and life cycles) with over 15,000 multiple choice questions and answers. The benchmark evaluates diagram understanding and visual reasoning capabilities, requiring models to interpret diagrammatic elements, relationships, and structure to answer questions about scientific concepts represented in visual form.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- AI2D
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- ai2d|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about AI2D.
Which model scores highest on AI2D?
Claude 3.5 Sonnet is currently ranked first with 94.7%.
What does AI2D measure?
AI2D is a dataset of 4,903 illustrative diagrams from grade school natural sciences (such as food webs, human physiology, and life cycles) with over 15,000 multiple choice questions and answers. The benchmark evaluates diagram understanding and visual reasoning capabilities, requiring models to interpret diagrammatic elements, relationships, and structure to answer questions about scientific concepts represented in visual form.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
32 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.