// COMPARISON

GPT-4V

A head-to-head benchmark comparison of GPT-4V across 4 evaluations.

The models

Multimodal Proprietary
Params
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Context
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Released
Sep 2023

GPT-4 with vision (GPT-4V) enables users to instruct GPT-4 to analyze image inputs provided by the user, and is the latest capability we are making broadly avai.

Full GPT-4V specs β†’

Benchmark comparison

Benchmark GPT-4V
multimodal
ChartQA 78.5%
DocVQA 88.400
MMMU 56.8%
MathVista 49.9%

Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.

Frequently asked questions

How many benchmarks are compared? β–Ά

This comparison covers 4 benchmarks on which at least one of the selected models has a published score.

Where do the benchmark scores come from? β–Ά

Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.

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