multimodal benchmark
AI2D is a multimodal benchmark based on 4,903 grade school natural science diagrams and over 15,000 multiple-choice questions and answers.
Updated Sep 7, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAN | Score94.70% | Percentile100.00% | Participants34 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score94.40% | Percentile96.97% | Participants34 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score94.20% | Percentile93.94% | Participants34 | EvidenceC | Evaluated |
| Rank04 | ModelMA | Score93.80% | Percentile90.91% | Participants34 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score93.30% | Percentile87.88% | Participants34 | EvidenceC | Evaluated |
| Rank06 | ModelMA | Score92.91% | Percentile84.85% | Participants34 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score92.90% | Percentile81.82% | Participants34 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score92.70% | Percentile78.79% | Participants34 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score92.60% | Percentile75.76% | Participants34 | EvidenceC | Evaluated |
| Rank10 | ModelME | Score92.30% | Percentile72.73% | Participants34 | EvidenceC | Evaluated |
| Rank11 | ModelME | Score91.10% | Percentile69.70% | Participants34 | EvidenceC | Evaluated |
| Rank12 | ModelAC | Score89.70% | Percentile66.67% | Participants34 | EvidenceC | Evaluated |
| Rank13 | ModelAC | Score89.50% | Percentile63.64% | Participants34 | EvidenceC | Evaluated |
| Rank14 | ModelAC | Score89.20% | Percentile60.61% | Participants34 | EvidenceC | Evaluated |
| Rank15 | ModelLA | Score89.00% | Percentile57.58% | Participants34 | EvidenceC | Evaluated |
| Rank16 | ModelAC | Score88.90% | Percentile54.55% | Participants34 | EvidenceC | Evaluated |
| Rank17 | ModelAC | Score88.40% | Percentile51.52% | Participants34 | EvidenceC | Evaluated |
| Rank18 | ModelXA | Score88.30% | Percentile48.48% | Participants34 | EvidenceC | Evaluated |
| Rank19 | ModelAC | Score86.90% | Percentile45.45% | Participants34 | EvidenceC | Evaluated |
| Rank20 | ModelAC | Score85.70% | Percentile42.42% | Participants34 | EvidenceC | Evaluated |
| Rank21 | ModelAC | Score85.00% | Percentile39.39% | Participants34 | EvidenceC | Evaluated |
| Rank22 | ModelAC | Score84.90% | Percentile36.36% | Participants34 | EvidenceC | Evaluated |
| Rank23 | ModelAC | Score84.90% | Percentile33.33% | Participants34 | EvidenceC | Evaluated |
| Rank24 | ModelGO | Score84.50% | Percentile30.30% | Participants34 | EvidenceC | Evaluated |
| Rank25 | ModelGO | Score84.20% | Percentile27.27% | Participants34 | EvidenceC | Evaluated |
| Rank26 | ModelAC | Score84.10% | Percentile24.24% | Participants34 | EvidenceC | Evaluated |
| Rank27 | ModelAC | Score83.20% | Percentile21.21% | Participants34 | EvidenceC | Evaluated |
| Rank28 | ModelMI | Score82.30% | Percentile18.18% | Participants34 | EvidenceC | Evaluated |
| Rank29 | ModelDE | Score81.40% | Percentile15.15% | Participants34 | EvidenceC | Evaluated |
| Rank30 | ModelDE | Score80.00% | Percentile12.12% | Participants34 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading 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.
What AI2D measures and how its scores work.
AI2D is a dataset and benchmark featuring illustrative diagrams from grade school natural sciences, including food webs, human physiology, and life cycles.
It evaluates diagram understanding and visual reasoning by assessing how models interpret diagrammatic elements, relationships, and structure to answer questions about scientific concepts represented visually, using Score reported as a ratio.
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 AI2D.
Claude 3.5 Sonnet is currently ranked first with 94.70%.
The current leaders are Claude 3.5 Sonnet (94.70%), Qwen3.6 Plus (94.40%), and GPT-4o (94.20%).
Qwen2.5-Omni-7B has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.
The fastest matched records are GPT-4o (132.00 tok/s via OpenAI), Llama 3.2 11B Instruct (108.00 tok/s via DeepInfra), and Claude 3.5 Sonnet (100.00 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 evaluates diagram understanding and visual reasoning by assessing how models interpret diagrammatic elements, relationships, and structure to answer questions about scientific concepts represented visually, using Score reported as a ratio.
Yes. Higher values rank better for this benchmark.
34 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis ai2d 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 3.5 Sonnet currently leads AI2D with 94.70%. 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.