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Model details
GPT-4o (2024-05-13)
OpenAI's GPT-4o, with the "o" standing for "omni," is a single unified model designed to handle text, image, and audio inputs and produce text outputs, replacing the older pipeline of separate speech-to-text, language model, and text-to-speech stages that powered prior voice interactions. By processing all modalities through one network, GPT-4o reduces latency enough to support near-real-time experiences such as live interpretation between speakers of different languages, while also picking up tone of voice and giving the model finer control over vocal intonation in its responses. The variant was introduced in May 2024, and its behavior in the LMSYS Chat Arena had already drawn attention under the playful alias "im-also-a-good-gpt2-chatbot" before it was formally identified as an OpenAI system.
Positioned as the successor to GPT-4 Turbo, GPT-4o is described as matching that model's intelligence level while roughly doubling inference speed and halving the cost, with additional gains in non-English language handling and visual understanding. The May 2024 snapshot fits a wide range of production use cases that need a long context window for documents and code, native image reasoning alongside text, and the option to integrate external tools and structured outputs through the API. Its combination of a single-model multimodal design, faster response times, and improved cross-language performance makes it well suited for assistants, analysis tools, and interactive applications where speed and multimodal fluency matter more than pushing the absolute frontier of reasoning.
Quick Info
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- OpenAI
- Model key
- gpt-4o-2024-05-13
- Release date
- May 13, 2024
- Last updated
- May 13, 2024
- Knowledge cutoff
- 2023-09
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $5.00
- Output token cost
- $15.00
Limits
- Output tokens
- 4,096 tokens
- Context window
- 128,000 tokens
Transparent token rates
Compare GPT-4o (2024-05-13) pricing
Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
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