GPT-4o

Model Overview

GPT-4o is OpenAI’s flagship multimodal model released on May 13, 2024. The “o” stands for omni, reflecting its native support for text, image, and audio inputs and outputs within a single neural network. With a 128K context window and optimized latency, GPT-4o is designed for real-time voice conversation, vision tasks, and high-throughput text generation. It matches or exceeds GPT-4 Turbo on academic benchmarks while being 50% cheaper and 2x faster. The model powers ChatGPT’s voice mode, vision features, and the OpenAI API flagship tier, making it the default choice for general-purpose production workloads that require multimodal understanding. GPT-4o is also the first OpenAI model trained with a fully unified tokenizer across modalities, which significantly improves non-English language quality.

Key Specifications

Benchmark Performance

Pricing

Pricing source: https://openai.com/api/pricing/ (as of 2024-08-01).

Strengths

• Native multimodal support across text, image, and audio in a single model.
• Strong reasoning and coding performance, leading on GSM8K among closed-source flagships.
• Lower latency than GPT-4 Turbo, enabling real-time voice applications.
• Robust multilingual capability thanks to the unified tokenizer.

Weaknesses

• Closed-source proprietary model with no self-host option.
• 128K context window is smaller than Gemini 1.5 Pro (2M) and Claude 3.5 Sonnet (200K).
• Pricing is higher than open-weights competitors like DeepSeek V3 and Qwen2.5 72B.

Use Cases

• Real-time voice assistants and conversational agents.
• Multimodal applications requiring simultaneous image and text understanding.
• Production chatbots needing low-latency responses.
• Agentic workflows that combine vision, audio, and tool calls.

References

• Hello GPT-4o — OpenAI
• OpenAI API Pricing
• GPT-4o Documentation