> ## Documentation Index
> Fetch the complete documentation index at: https://documentation.deepmask.io/llms.txt
> Use this file to discover all available pages before exploring further.

# GPT-4o

> OpenAI's high-frequency multi-modal model for real-time voice, vision, and text interactions. 128K context, 0.12s TTFT, 112 tok/s, GPQA 74.0%.

GPT-4o is OpenAI's "high-frequency" multi-modal model, unifying text, audio, and vision in a single neural network optimized for low-latency, real-time interactions. With an average first-token latency of just 0.12 seconds, it comes close to matching human response times — making it the go-to choice whenever immediacy matters.

## About GPT-4o

Unlike models that bolt on audio or vision as afterthoughts, GPT-4o processes all three modalities natively. That means you get tighter coherence between what it sees, hears, and says. It is the high-frequency variant of the GPT-4o series, trading some raw reasoning depth for a level of speed and interactivity that no previous generation could match.

## Key Capabilities

<CardGroup cols={2}>
  <Card title="Emotional Audio Reasoning" icon="waveform">
    Understands tone, background noise, and multiple speakers natively — without transcription as an intermediate step.
  </Card>

  <Card title="Sarcasm and Style" icon="microphone">
    Expresses diverse speaking styles and emotions in real-time voice, making interactions feel natural rather than robotic.
  </Card>

  <Card title="Visual Copilot" icon="eye">
    Can watch a screen or camera feed and assist with tasks like math homework, software debugging, or live navigation.
  </Card>

  <Card title="Real-Time Translation" icon="language">
    Near-instant bidirectional translation across 50+ languages, suitable for live conversation and customer-facing apps.
  </Card>
</CardGroup>

## Best For

Choose GPT-4o when your application requires real-time, multi-modal interaction — live voice assistants, interactive tutors, accessibility tools, or gaming NPCs that need to see and respond within milliseconds. If you need deeper reasoning or very large context, consider GPT-4.1 or the GPT-5 series instead.

<Tip>
  For voice applications, GPT-4o's native audio understanding means you can pass raw audio directly rather than pre-transcribing — this reduces latency and preserves prosodic signals like hesitation or emotion.
</Tip>

## Use Cases

* **Interactive tutors** — Provide real-time, voice-based feedback to students via audio and vision simultaneously.
* **Accessible assistants** — Help visually impaired users navigate their surroundings using a live camera feed.
* **Gaming NPCs** — Power non-player characters that can see, hear, and react to players in real time.

## Specifications

| Specification  | Value                                         |
| -------------- | --------------------------------------------- |
| Provider       | OpenAI                                        |
| Context Window | 128K tokens                                   |
| Reasoning      | Standard (Balanced)                           |
| GPQA Diamond   | 74.0%                                         |
| Latency (TTFT) | 0.12s                                         |
| Throughput     | 112 tokens/sec                                |
| Key use cases  | Real-time voice, vision analysis, translation |

[Try GPT-4o in DeepMask →](https://chat.deepmask.io/)