GPT-4o
The high-frequency, real-time audio/visual specialist for interactive apps.

About the Model
The "High-Frequency" variant of the GPT-4o series. It is specifically optimized for low-latency, multi-modal interactions. By unifying text, audio, and vision into a single streamlined neural network, it achieves an average latency of 0.32 seconds—nearly matching human response times.
Model Key Capabilities
Emotional Audio Reasoning:
Understands tone, background noise, and multiple speakers natively.
Sarcasm & Style:
Capable of expressing diverse speaking styles and emotions in real-time voice.
Visual Copilot:
Can "watch" a screen or camera feed to assist with tasks like math homework or software debugging.
Real-Time Translation:
Near-instant bidirectional translation between 50+ languages.
Applications & Use Cases
Interactive Tutors:
Providing real-time, encouraging feedback to students via voice and vision.
Accessible Assistants:
Helping visually impaired users navigate their surroundings in real-time.
Gaming NPCs:
Powering non-player characters that can see, hear, and react to players instantly.
Recomended Models based on your needs

Qwen (DeepMask)
Versatile model with reasoning and tool use. Strong at document and image analysis & multilingual chat.

Qwen3 (StackIT)
Versatile model with reasoning and tool use. Strong at document and image analysis and multilingual chat.

Kimi K2 (DeepMask)
Best for deep reasoning and tool use. Ideal for long, multi-step tasks and document analysis.
Model Specifications
General | |
|---|---|
Model Provider | OpenAI |
Main Use Cases |
|
Intelligence | |
Reasoning Effort | Standard (Balanced) |
GPQA Diamond | 74.0% |
Memory | |
Max Context | 128K Tokens |
Speed | |
Latency (TTFT) | 0.12s |
Throughput | 112 Tokens/sec |
Cost | |
1M Tokens (I/O) | $2.50 / $10.00 |

