GPT-4o is OpenAI's flagship model that reasons across text, audio, and vision in real time, using one end-to-end network instead of separate voice pipelines.
Capabilities, design details, and architectural traits
GPT-4o, where o stands for omni, is described by OpenAI as a step toward more natural human-computer interaction. It is built around one model that handles text, vision, and audio together, rather than stitching several models into a pipeline.
| Trait | Detail |
|---|---|
| Defining architecture | A single neural network trained end-to-end across text, vision, and audio, so one model processes every input and output instead of passing data between separate models. |
| Omni input and output range | Accepts any combination of text, audio, image, and video as input, and generates any combination of text, audio, and image as output. |
| Real-time conversational speed | Responds to audio input at a speed close to human conversational response time, replacing the noticeably longer delays of earlier voice setups. |
| Voice-specific safety systems | Built with safety systems specifically designed to guardrail voice outputs, alongside safety measures applied across its other modalities. |
Before GPT-4o, ChatGPT's Voice Mode worked as a pipeline of three separate models: one transcribed audio to text, another generated a text reply, and a third converted that text back to speech. This chain could not observe tone, multiple speakers, or background noise, and could not output laughter, singing, or emotion. GPT-4o replaces this with one model trained across all of these modalities at once.
Independent evaluations · Artificial Analysis
Evaluate specifications, pricing, and independent benchmark indices
| Model Details | |||
|---|---|---|---|
| General Info | |||
| Provider | OpenAI | Anthropic | Anthropic |
| Release Date | November 20, 2024 | July 24, 2026 | June 9, 2026 |
| Knowledge Cutoff | Oct 2023 | May 2026 | - |
| Context & Limits | |||
| Context Window | 128K | 1M Best Context Window | 1M Best Context Window |
| Pricing (per 1M tokens) | |||
| Input Pricing | $2.50 Best Input Pricing | $5 | $10 |
| Output Pricing | $10 Best Output Pricing | $25 | $50 |
| Modalities | |||
| Inputs | textimagefile | textimage | textimagefile |
| Outputs | text | text | text |
| Benchmarks (0-100) | |||
| Intelligence Index | 11.1 | 63.1 Best Intelligence Index | 62.1 |
| Coding Index | 24.2 | 78.0 Best Coding Index | 76.5 |
| Agentic Index | - | 59.2 Best Agentic Index | 56.6 |
Graduate-level reasoning and expert Q&A evaluation.
Extremely difficult logical reasoning and knowledge.
Logical reasoning over long context windows.
Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.
