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Diagram Understanding on AI2D (test)

94.7AccuracyClaude-3.5-Sonnet
73.837679.253884.6790.0862Apr 25, 2024Aug 30, 2024Jan 4, 2025May 12, 2025Sep 16, 2025Jan 21, 2026May 29, 2026

Evaluation results

MethodLinks
Claude-3.5-Sonnet2024.1294.7
Gemini-1.5-Pro2024.1294.4
GPT-4o2024.1294.2
Molmo2-8BParameter Scale=8B2026.0594.1
Molmo2-4BParameter Scale=4B2026.0593.8
InternVL3.5-8BParameter Scale=8B2026.0592.5
Qwen3-VL-8BParameter Scale=8B2026.0592.3
PerceptionLM-3BParameter Scale=3B2026.0592.2
InternVL3.5-4BParameter Scale=4B2026.0592
Qwen3-VL-4BParameter Scale=4B2026.0591.8
PerceptionLM-8BParameter Scale=8B2026.0591.8
Zamba2-VL-7BParameter Scale=7B2026.0590.6
Gemini-2.5-ProDate=2024.12, Tokenization Paradigm=Proprietary Models2026.0289.5
BagelModel Scale=14B, Date=2025.05, Tokenization Paradigm=Continuous Tokenization2026.0289.2
Claude-3 Sonnetopen-source=false2024.0488.7
InternVL3.5-2BParameter Scale=2B2026.0588.6
InternVL2-76BModel Scale=76B2024.1288.4
Grok-1.5Vopen-source=false2024.0488.3
Claude-3 Opusopen-source=false2024.0488.1
Qwen-VL-Max-0809Params (B)=722024.1088.1
Qwen2-VL-72BModel Scale=72B2024.1288.1
InternVL2-Llama3-76BParams (B)=762024.1087.6
Qwen2-VL-72B-ThinkingMax Output Tokens=40K2026.0387.2
Qwen2-VL-72B-ThinkingMax Output Tokens=4K2026.0386.9
Claude-3 Haikuopen-source=false2024.0486.7
Qwen3-VL-2BParameter Scale=2B2026.0586.2
ManzanoModel Scale=30B, Date=2025.09, Tokenization Paradigm=Hybrid Tokenization2026.0286
Zamba2-VL-2.7BParameter Scale=2.7B2026.0585.8
PerceptionLM-1BParameter Scale=1B2026.0585.7
LLaVA-OV-72BModel Scale=72B2024.1285.6
LLaVA-OV-72BModel Scale=72B, Single-image variant (SI)=true2024.1285.1
VQ-RAEModel Scale=7B, Date=2025.11, Tokenization Paradigm=Hybrid Tokenization2026.0284.8
Phi-4-reasoning-vision-15BThinking Mode=default2026.0384.8
GPT-4o-202408062024.1084.7
GPT-4oDate=2024.05, Tokenization Paradigm=Proprietary Models2026.0284.6
MAmmoTH-VL-8BModel Scale=8B2024.1284
Qwen2.5VLModel Scale=7B, Date=2025.02, Tokenization Paradigm=Understanding-only Models2026.0283.9
Qwen2-VL-7B-ThinkingMax Output Tokens=40K2026.0383.9
InternVL-2-8BModel Scale=8B2024.1283.8
SAIL-VL1.5Number of Parameters=2.5B2025.1283.7
Qwen2-VL-7B-ThinkingMax Output Tokens=4K2026.0383.5
Qwen2.5-VL-7B + Cont. Rewardreward_type=Continuous2025.1183.41
MAmmoTH-VL-8BModel Scale=8B, Single-image variant (SI)=true2024.1283.4
HyperVL ViTLNumber of Parameters=2.0B2025.1283.1
Qwen2-VL-7B-InsModel Scale=7B2024.1283
SAIL-VL2Number of Parameters=2.7B2025.1283
Ming-UnivisionModel Scale=16B, Date=2025.10, Tokenization Paradigm=Continuous Tokenization2026.0282.8
Vision-Zeroexternal supervision=true2025.1182.64
Qwen2.5-VL-7B (Baseline)2025.1182.61
InternVL3.5Model Scale=4B, Date=2025.08, Tokenization Paradigm=Understanding-only Models2026.0282.6
KelixModel Scale=8B, Tokenization Paradigm=Discrete Tokenization2026.0282.4
Qwen2.5-VL-7B + Discrete Rewardreward_type=Discrete2025.1182.18
MiniCPM-V-2.6-7BModel Scale=7B2024.1282.1
HyperVLNumber of Parameters=1.8B2025.1281.8
Circle-RoPEParameters=3B, Supervised Fine-Tuning (SFT)=true2025.0581.8
LLaVA-OV-7BModel Scale=7B, Single-image variant (SI)=true2024.1281.6
Qwen2.5VLModel Scale=3B, Date=2025.02, Tokenization Paradigm=Understanding-only Models2026.0281.6
Qwen2.5-VL-3B-InstructParams=3.75B2025.1281.51
INXComp-2.5-7BModel Scale=2.5B2024.1281.5
Zamba2-VL-1.2BParameter Scale=1.2B2026.0581.5
LLaVA-OV-7BModel Scale=7B2024.1281.4
LLaVA-OVModel Scale=7B, Date=2024.08, Tokenization Paradigm=Understanding-only Models2026.0281.4
InternVL2.5Parameters=4B2025.0581.38
MiniCPM V-2.6Parameters=8B2025.0581.28
Kimi-VL-A3B-Thinking2026.0381.2
InternVL3.5-1BParameter Scale=1B2026.0581.2
Molmo-7B-DModel Scale=7B2024.1281
InternVL 1.5#param=26B, open-source=false2024.0480.7
gemma-2-9b-it2026.0380.4
Gemini Pro 1.5open-source=false2024.0480.3
Claude3.5-Sonnet2024.1080.2
AndesVLNumber of Parameters=2.4B2025.1280.1
Ovis2Number of Parameters=2.5B2025.1279.7
Phi-4-reasoning-vision-15BThinking Mode=force thinking2026.0379.7
Gemini Ultra 1.0open-source=false2024.0479.5
Qwen-VL-Maxopen-source=false2024.0479.3
TUNAModel Scale=7B, Date=2025.12, Tokenization Paradigm=Continuous Tokenization2026.0279.3
Qwen2.5-VL (SFT)Parameters=3B, Supervised Fine-Tuning (SFT)=true2025.0579.22
Step-1V#param=100B, open-source=false2024.0479.2
Gemini-1.5-Pro2024.1079.1
InternVL 1.2#param=40B, open-source=false2024.0479
InternVL3.5Number of Parameters=2.3B2025.1278.8
InternVL3Number of Parameters=2.1B2025.1278.7
MobileNet-QwenParams=1.84B2025.1278.63
Show-O2Model Scale=7B, Date=2025.06, Tokenization Paradigm=Discrete Tokenization2026.0278.6
Phi-3-VisionParams (B)=4.22024.1078.4
GPT-4Vopen-source=false2024.0478.2
Qwen2.5-VLParameters=3B2025.0578.14
SAIL-VLParameters=2B2025.0577.72
Phi-3.5 visionParameters=4.2B2025.0577.59
Llama-3.2-11B-Vision-InsModel Scale=11B2024.1277.3
InternViT-QwenParams=1.86B2025.1277.17
Qwen3-VLNumber of Parameters=2.1B2025.1276.9
X-OmniModel Scale=7B, Date=2025.07, Tokenization Paradigm=Discrete Tokenization2026.0276.8
Qwen-VL-Plusopen-source=false2024.0475.9
TokenFlow-XLModel Scale=14B, Date=2024.12, Tokenization Paradigm=Discrete Tokenization2026.0275.8
LLaVA-NeXT#param=35B, open-source=false2024.0474.9
Qwen2-VL-2BParams (B)=2.12024.1074.7
Qwen2-VLNumber of Parameters=2.2B2025.1274.7
Qwen2-VL-2BParams=2.2B2025.1274.64