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multimodal benchmark

AI2D Leaderboard

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

Models34
Model coverage34
MetricScore
EvidenceB

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AI2D Ranking

Higher score ranks better on this benchmark.

30 of 34 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelANClaude 3.5 SonnetAnthropicScore94.70%Percentile100.00%Participants34EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen3.6 PlusAlibaba Cloud / Qwen TeamScore94.40%Percentile96.97%Participants34EvidenceCEvaluatedSep 8, 2026
Rank03ModelOPGPT-4oOpenAIScore94.20%Percentile93.94%Participants34EvidenceCEvaluatedSep 8, 2026
Rank04ModelMAPixtral LargeMistral AIScore93.80%Percentile90.91%Participants34EvidenceCEvaluatedSep 8, 2026
Rank05ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore93.30%Percentile87.88%Participants34EvidenceCEvaluatedSep 8, 2026
Rank06ModelMAMistral Small 3.2 24B InstructMistral AIScore92.91%Percentile84.85%Participants34EvidenceCEvaluatedSep 8, 2026
Rank07ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore92.90%Percentile81.82%Participants34EvidenceCEvaluatedSep 8, 2026
Rank08ModelACQwen3.6-35B-A3BAlibaba Cloud / Qwen TeamScore92.70%Percentile78.79%Participants34EvidenceCEvaluatedSep 8, 2026
Rank09ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore92.60%Percentile75.76%Participants34EvidenceCEvaluatedSep 8, 2026
Rank10ModelMELlama 3.2 90B InstructMetaScore92.30%Percentile72.73%Participants34EvidenceCEvaluatedSep 8, 2026
Rank11ModelMELlama 3.2 11B InstructMetaScore91.10%Percentile69.70%Participants34EvidenceCEvaluatedSep 8, 2026
Rank12ModelACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen TeamScore89.70%Percentile66.67%Participants34EvidenceCEvaluatedSep 8, 2026
Rank13ModelACQwen3 VL 32B InstructAlibaba Cloud / Qwen TeamScore89.50%Percentile63.64%Participants34EvidenceCEvaluatedSep 8, 2026
Rank14ModelACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen TeamScore89.20%Percentile60.61%Participants34EvidenceCEvaluatedSep 8, 2026
Rank15ModelLAEXAONE 4.5 33BLG AI ResearchScore89.00%Percentile57.58%Participants34EvidenceCEvaluatedSep 8, 2026
Rank16ModelACQwen3 VL 32B ThinkingAlibaba Cloud / Qwen TeamScore88.90%Percentile54.55%Participants34EvidenceCEvaluatedSep 8, 2026
Rank17ModelACQwen2.5 VL 72B InstructAlibaba Cloud / Qwen TeamScore88.40%Percentile51.52%Participants34EvidenceCEvaluatedSep 8, 2026
Rank18ModelXAGrok-1.5VxAIScore88.30%Percentile48.48%Participants34EvidenceCEvaluatedSep 8, 2026
Rank19ModelACQwen3 VL 30B A3B ThinkingAlibaba Cloud / Qwen TeamScore86.90%Percentile45.45%Participants34EvidenceCEvaluatedSep 8, 2026
Rank20ModelACQwen3 VL 8B InstructAlibaba Cloud / Qwen TeamScore85.70%Percentile42.42%Participants34EvidenceCEvaluatedSep 8, 2026
Rank21ModelACQwen3 VL 30B A3B InstructAlibaba Cloud / Qwen TeamScore85.00%Percentile39.39%Participants34EvidenceCEvaluatedSep 8, 2026
Rank22ModelACQwen3 VL 4B ThinkingAlibaba Cloud / Qwen TeamScore84.90%Percentile36.36%Participants34EvidenceCEvaluatedSep 8, 2026
Rank23ModelACQwen3 VL 8B ThinkingAlibaba Cloud / Qwen TeamScore84.90%Percentile33.33%Participants34EvidenceCEvaluatedSep 8, 2026
Rank24ModelGOGemma 3 27BGoogleScore84.50%Percentile30.30%Participants34EvidenceCEvaluatedSep 8, 2026
Rank25ModelGOGemma 3 12BGoogleScore84.20%Percentile27.27%Participants34EvidenceCEvaluatedSep 8, 2026
Rank26ModelACQwen3 VL 4B InstructAlibaba Cloud / Qwen TeamScore84.10%Percentile24.24%Participants34EvidenceCEvaluatedSep 8, 2026
Rank27ModelACQwen2.5-Omni-7BAlibaba Cloud / Qwen TeamScore83.20%Percentile21.21%Participants34EvidenceCEvaluatedSep 8, 2026
Rank28ModelMIPhi-4-multimodal-instructMicrosoftScore82.30%Percentile18.18%Participants34EvidenceCEvaluatedSep 8, 2026
Rank29ModelDEDeepSeek VL2DeepSeekScore81.40%Percentile15.15%Participants34EvidenceCEvaluatedSep 8, 2026
Rank30ModelDEDeepSeek VL2 SmallDeepSeekScore80.00%Percentile12.12%Participants34EvidenceCEvaluatedSep 8, 2026

AI2D Highlights

The leading models and scores on this benchmark.

AI2D Score Distribution

A closer view of the leading scores on this benchmark.

AI2D

The Top AI Models for AI2D

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is AI2D?

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.

Family
AI2D
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 AI2D.

Which model scores highest on AI2D?

Claude 3.5 Sonnet is currently ranked first with 94.70%.

What are the top three models on AI2D?

The current leaders are Claude 3.5 Sonnet (94.70%), Qwen3.6 Plus (94.40%), and GPT-4o (94.20%).

Which AI2D model has the lowest official input price?

Qwen2.5-Omni-7B has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.

Which models are fastest among AI2D results?

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).

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.

What does AI2D measure?

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.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

34 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1Claude 3.5 Sonnet94.70%
Rank #2Qwen3.6 Plus94.40%
Rank #3GPT-4o94.20%
Rank #4Pixtral Large93.80%

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.

  1. 01
    AN
    Claude 3.5 SonnetAnthropic
    Score
    94.70%
    Speed
    Up to 100.00 tok/s via Anthropic

    Strengths

    • Ranks #1 of 34 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures AI2D, not total model capability
  2. 02
    AC
    Qwen3.6 PlusAlibaba Cloud / Qwen Team
    Score
    94.40%
    Price
    $0.50 input / $3.0 output per 1M tokens

    Strengths

    • Ranks #2 of 34 compared models
    • 97th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures AI2D, not total model capability
  3. 03
    OP
    OpenAI
    Score
    94.20%
    Price
    $2.5 input / $10 output per 1M tokens
    Speed
    Up to 132.00 tok/s via OpenAI

    Strengths

    • Ranks #3 of 34 compared models
    • 94th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures AI2D, not total model capability
  4. 04
    MA
    Mistral AI
    Score
    93.80%
    Speed
    Up to 0.10 tok/s via Mistral AI

    Strengths

    • Ranks #4 of 34 compared models
    • 91th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures AI2D, not total model capability
  5. 05
    AC
    Alibaba Cloud / Qwen Team
    Score
    93.30%
    Price
    $0.40 input / $3.2 output per 1M tokens

    Strengths

    • Ranks #5 of 34 compared models
    • 88th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures AI2D, not total model capability

Selection summary

Best AI Models for AI2D

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.

GPT-4o
Pixtral Large
Qwen3.5-122B-A10B
Benchmark rank #1Claude 3.5 Sonnet94.70% · Up to 100.00 tok/s via Anthropic
Benchmark rank #2Qwen3.6 Plus94.40% · $0.50 input / $3.0 output per 1M tokens
Benchmark rank #3GPT-4o94.20% · $2.5 input / $10 output per 1M tokens