OpenAI
GPT-4o
- Fast
- Vision
- Web Search
GPT-4o is OpenAI's most advanced multimodal model. It can process text, images, and audio, making it ideal for complex reasoning tasks, content creation, and real-time applications.
About the model
GPT-4o — Omni Intelligence
GPT-4o (“o” for omni) is OpenAI’s flagship model designed to handle any combination of text, audio, image, and video input, and generate text, audio, and image outputs. It delivers GPT-4-level intelligence at much faster speeds and lower cost.
The model excels at complex reasoning, multilingual tasks, coding, and creative generation, making it the top choice for production AI applications.
Core capabilities
What GPT-4o can do
Use cases
Built for real-world applications
- Customer Support Bots
- Code Review & Copilot
- Document Summarization
- Image Understanding
- Content Generation
- Data Extraction
Pricing
API Pricing Comparison
All prices shown per 1 million tokens. Prices may vary by region and volume discounts apply.
| Provider | Region | Latency | Throughput | Uptime | Input ($/1M) | Output ($/1M) | Context |
|---|---|---|---|---|---|---|---|
| OpenAI (direct) BEST | Global | 320ms | 150 tok/s | 99.9% | $2.50/1M | $10.00/1M | 128K |
| Azure OpenAI | US East | 380ms | 120 tok/s | 99.95% | $2.75/1M | $11.00/1M | 128K |
| LLMAPI | Global | 290ms | 180 tok/s | 99.99% | $2.20/1M | $8.80/1M | 128K |
Performance benchmarks
Technical Specifications
| Metric | Specification | GPT-4o | GPT-4 Turbo |
|---|---|---|---|
| Context window | 128,000 tokens | 128,000 tokens | |
| Max output | 16,384 tokens | 4,096 tokens | |
| Training data | Apr 2024 | Dec 2023 | |
| Multimodal | Text, Images, Audio | Text, Images |
Trusted by developers worldwide
- 2M+
- Developers
- 99.9%
- Uptime SLA
- 128K
- Context tokens
- <350ms
- Avg latency
Architecture
How GPT-4o works
GPT-4o uses a unified neural network that jointly processes all modalities natively.
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Unified Multimodal Encoder
Single model handles text, image, and audio without separate encoders.
Core -
Vision Transformer
High-resolution image understanding with patch-based encoding.
Vision -
Auto-Regressive Decoder
Token-by-token generation with cross-modal attention.
Generation
Decision guide
Is GPT-4o right for you?
Use GPT-4o when
- You need multimodal (text + image) understanding
- Your use case requires top-tier reasoning
- You need OpenAI ecosystem compatibility
- Latency and speed are both important
Consider alternatives when
- You're on a very tight budget (consider GPT-4o mini)
- You need 200K+ token context (consider Claude)
- Your workflow requires open-source models
FAQ
Frequently asked questions
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What makes GPT-4o different from GPT-4?
GPT-4o is faster, cheaper, and natively multimodal. It can process images, audio, and text in a single model pass, whereas GPT-4 used separate systems for different modalities.
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What is the context window size?
GPT-4o supports up to 128,000 tokens of context (about 300 pages of text), with a maximum output of 16,384 tokens.
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How do I access GPT-4o via API?
Use the OpenAI API with model ID 'gpt-4o'. You can also access it through LLMAPI for better pricing and reliability.
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Does GPT-4o support function calling?
Yes, GPT-4o supports function calling (tool use), JSON mode, and structured outputs.