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| Feature | ChatGPT-3.5 | ChatGPT-4 | ChatGPT-4o |
|---|---|---|---|
| Release Date | November 2022 | March 2023 | May 2024 |
| Model Architecture | GPT-3.5 | GPT-4 | GPT-4o |
| Parameters | 175 billion | Not publicly disclosed (estimated 500+ billion) | Not publicly disclosed |
| Context Length | 4096 tokens | 8192 tokens (standard), 32k tokens (extended) | 8192 tokens (standard), 32k tokens (extended) |
| Multimodal Capabilities | No | Yes (text and images) | Yes (text, images, and audio) |
| Performance Improvement | – | Improved reasoning and understanding | Further improved reasoning, accuracy, and efficiency |
| API Pricing | Lower | Higher compared to 3.5 | Comparable to 4 |
| Fine-Tuning Capability | Yes | Yes | Enhanced fine-tuning options |
| Model Size | Smaller | Larger | Comparable to 4, optimized |
| Use Cases | General purpose, text generation, etc. | Enhanced reasoning, complex tasks | Enhanced multimodal tasks, better performance |
| Access | Widely accessible | Limited initially, gradually increased | Limited initially, gradually increased |
| Language Support | Extensive | More extensive, better low-resource language support | Further improved language support |
| Availability in OpenAI Products | Integrated into various OpenAI products | Integrated into more products, including ChatGPT Plus | Integrated into newer products and services |
| Contextual Understanding | Good | Better contextual and nuanced understanding | Best contextual and nuanced understanding |
| Safety and Ethical Standards | Standard | Enhanced | Further enhanced for safer interactions |
| Integration Capabilities | Basic | Improved | Seamless integration with various applications |
| User Experience | Standard | Improved UI/UX | Further improved UI/UX |
GPT-4o (“o” for “omni”)
GPT-4o (“o” for “omni”) is a step towards much more natural human-computer interaction—it accepts as input any combination of text, audio, image, and video and generates any combination of text, audio, and image outputs. It can respond to audio inputs in as little as 232 milliseconds, with an average of 320 milliseconds, which is similar to human response time(opens in a new window) in a conversation. It matches GPT-4 Turbo performance on text in English and code, with significant improvement on text in non-English languages, while also being much faster and 50% cheaper in the API. GPT-4o is especially better at vision and audio understanding compared to existing models.
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