// BENCHMARK

DocVQA benchmark

AI model leaderboard for the DocVQA benchmark. Compare how large language models score on DocVQA, see the full ranking, and understand what this AI benchmark measures. Claude 3.5 Sonnet currently leads with 95.200. Visual question answering over scanned business documents.

Leaderboard

# Model Organization Score Variant Source
#1 Claude 3.5 Sonnet Anthropic 95.200 cited-nvlm official โ†—
#2 Mistral Small 3.2 Mistral AI 94.860 instruct-from-hf-readme official โ†—
#3 Mistral Small 3.1 Mistral AI 94.080 instruct-cited-msmall32 official โ†—
#4 Pixtral Large Mistral AI 93.300 anls-from-hf-readme official โ†—
#5 Gemini 1.5 Pro Google DeepMind 93.100 aug-2024-cited-nvlm official โ†—
#6 GPT-4o (Aug 2024) OpenAI 92.800 cited-nvlm official โ†—
#7 Aria Rhymes AI 92.600 from-hf-readme official โ†—
#8 NVLM-D 72B NVIDIA 92.600 megatron-from-hf-readme official โ†—
#9 Gemini 1.5 Pro Google DeepMind 92.300 anls-cited-pixtral-large official โ†—
#10 Pixtral 12B Mistral AI 90.700 cited-aria official โ†—
#11 Llama 3.2 90B Meta AI 90.100 cited-nvlm official โ†—
#12 Claude 3.5 Sonnet Anthropic 88.600 anls-cited-pixtral-large official โ†—
#13 GPT-4o (Aug 2024) OpenAI 88.500 anls-cited-pixtral-large official โ†—
#14 GPT-4V OpenAI 88.400 cited-nvlm official โ†—
#15 Llama 3.2 90B Meta AI 85.700 cited-pixtral-large official โ†—
#16 Llama 3.2 11B Meta AI 84.400 cited-aria official โ†—

Frequently asked questions about DocVQA

What is the DocVQA benchmark?

Visual question answering over scanned business documents.

How is the DocVQA benchmark scored?

DocVQA is scored using the ANLS metric, where a higher score is better. The maximum achievable score is 1.000. GenAIList aggregates reported scores from model providers and papers into a single ranked leaderboard.

Which AI model scores highest on DocVQA?

As of the latest reported scores on GenAIList, Claude 3.5 Sonnet achieves the highest result on DocVQA with a score of 95.200.

Is a higher DocVQA score better?

Yes. On DocVQA a higher score indicates better performance, so models near the top of the leaderboard are the strongest.