GPT4o (Omni) vs GPT-4

GPT-4o ("o" for "omni") represents a significant leap towards more natural interactions between humans and computers. It's designed to handle a mix of text, audio, image, and video inputs, and can output text, audio, and images. Impressively, GPT-4o can process audio inputs in just 232 milliseconds on average, nearly matching human response times in conversation. This model not only retains the high performance of GPT-4 Turbo in English and coding tasks but also shows marked improvements in processing non-English languages, all while being faster and 50% more cost-effective via its API. Additionally, GPT-4o excels in understanding vision and audio better than previous models.

Model capabilities include:

• Two GPT-4os interacting and singing
• Interview preparation
• Playing Rock Paper Scissors
• Detecting sarcasm
• Mathematical discussions with figures like Sal and Imran Khan
• Harmonizing in music
• Language learning through interaction
• Real-time meeting translations
• Singing lullabies or birthday songs
• Humor with dad jokes
• Assisting visually impaired users in real-time through partnerships like BeMyEyes

Prior models like GPT-3.5 and GPT-4, in Voice Mode, involved a multi-step process with latencies up to 5.4 seconds. This process used separate models to transcribe audio to text, process the text, and then convert responses back to audio. This often resulted in a loss of nuanced information like tone, emotion, or background sounds.

GPT-4o simplifies this with a unified model that handles text, vision, and audio end-to-end, preserving the richness of the inputs and enabling more expressive outputs. As our first foray into such an integrated model, GPT-4o opens new avenues for exploring multimodal interactions and their potential applications.

GPT-4 is the latest milestone in OpenAI’s effort in scaling up deep learning.

GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks. For example, it passes a simulated bar exam with a score around the top 10% of test takers; in contrast, GPT-3.5’s score was around the bottom 10%. We’ve spent 6 months iteratively aligning GPT-4 using lessons from our adversarial testing program as well as ChatGPT, resulting in our best-ever results (though far from perfect) on factuality, steerability, and refusing to go outside of guardrails.

GPT-4 is more creative and collaborative than ever before. It can generate, edit, and iterate with users on creative and technical writing tasks, such as composing songs, writing screenplays, or learning a user’s writing style.