Key takeaways

• GPT-4o (2024-08-06) is a Transformer-based multimodal model designed for improved structured outputs and JSON schema support, particularly effective for tasks like Czech to English translation, while being faster and more cost-effective than GPT-4 Turbo.
• The model utilizes a Transformer architecture with 175 parameters, a context length of 128,000 tokens, and is proprietary to OpenAI. It is trained to maintain a high intelligence level across various tasks.
• Its capabilities include strong semantic similarity for factual content, very low toxicity (mean 0.0037), robust logical deduction, and excellent performance in multi-step arithmetic. However, it struggles with incorrect word choices, awkward phrasing, capturing idiomatic expressions, nuanced causal judgment, and specific movie recommendations.
• On the WMT 2014 Czech-English translation benchmark, the model achieved an accuracy of 37.5%, a mean semantic similarity of 0.408, and a readability score of 39.83. It also showed strong performance on the 'Big Bench Hard' dataset with an overall accuracy of 76.65%, excelling in boolean expressions and multi-step arithmetic.
• The model scored poorly (2.85% accuracy) on the 'Humanity's Last Exam' dataset, specifically struggling with quantitative problems requiring precise calculations, niche knowledge, and complex visual data interpretation. Common failure modes include misinterpreting complex logical conditions and calculation errors even with correct formulas.

Technical specifications

Context length

128k tokens

Max output

—

Architecture

Transformer

Modalities

text+image->text

Parameters

~175B

Open weights

No

Licence

Proprietary

Regions

USA

Vendor

OpenAI

Provider model key

openai/gpt-4o-2024-08-06