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14 March 2023Primary source · 2 sourcesDebated

GPT-4 adds multimodal, human-level exam performance

OpenAI's model reads images as well as text and scores in the top 10 percent on a bar exam

On the timeline · around 14 March 2023 · Recognition and ReasoningRecognition and ReasoningGPT-4 adds multimodal, human-level exam performance20252026

Quick facts

Institution
OpenAI
Capability
Multimodal (text and image input)
Benchmark
Top 10% on simulated bar exam

What happened

OpenAI released GPT-4, described in its technical report as a large-scale, multimodal Transformer that accepts both image and text inputs and produces text outputs, a departure from earlier GPT models that handled text only. OpenAI reported that GPT-4 achieved human-level performance on a range of professional and academic benchmarks originally designed for people, including a simulated bar exam on which it scored around the top 10 percent of test takers, compared with GPT-3.5's bottom-10-percent score on the same test. A significant part of the underlying engineering effort, according to the report, went into building training infrastructure that behaved predictably across scales, letting OpenAI forecast aspects of GPT-4's eventual performance using much smaller models trained with a tiny fraction of GPT-4's total compute. OpenAI did not disclose GPT-4's parameter count, architecture details, or training data in the technical report, a departure from the fuller disclosures of earlier GPT papers.

Why it matters

GPT-4's jump in exam performance and its addition of image understanding expanded what a single general-purpose model could plausibly be used for, from tutoring to document analysis, but OpenAI's decision to withhold architectural details also marked a shift toward less open publication norms in frontier AI research, a change some researchers criticized.

How we know

The GPT-4 technical report describes the benchmark scores and multimodal capability directly; OpenAI's own announcement page corroborates the same claims about bar-exam performance and multimodal input.

Sources

  • OpenAI. GPT-4 Technical Report · Primary source (author-declared)arxiv.org · Cited as a "primary" source (no stronger domain match). · Link is live and its text matches the event's key terms (Jul 2026)
  • OpenAI. GPT-4 · Primary source (author-declared)openai.com · Cited as a "primary" source (no stronger domain match). · Link is live and its text matches the event's key terms (Jul 2026)

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