The GPT-4o model is a robust version of the GPT-4 architecture, designed to offer comprehensive AI capabilities while balancing performance and resource demands.
Scorecard
| ✅ Availability | Yes, Try and GPT-4o here |
| 🐙 Model Type | Large Language Model (LLM) |
| 🗓️ Release Date | August 2024 |
| 📅 Training Data Cut-off Date | October 2023 |
| 📏 Parameters (Size) | N/A |
| 🔢 Context Window | 128k tokens |
| 🌎 Supported Languages | Multiple |
| 📈 MMLU Score | 88.7%* |
| 🗝️ API Availability | Yes |
| 💰 Pricing (per 1M Token) | Input: $5, Output: $15 per 1M tokens |
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It is suitable for a wide range of applications, from complex enterprise solutions to extensive natural language processing tasks.
Architecture 🏗️
GPT-4o, also known as "omni," is OpenAI's latest flagship model. It is designed to handle multiple modalities including text, audio, image, and video.
This model integrates these inputs and outputs within a single neural network, enabling more natural human-computer interactions.
Unlike previous models that relied on separate pipelines for different tasks, GPT-4o processes all modalities end-to-end, allowing it to better understand context and nuances.
Key architectural features include:
- Multimodal Capabilities: Processes text, audio, image, and video inputs and outputs.
- Unified Neural Network: Handles all inputs and outputs through a single model, enhancing contextual understanding.
- Fast Response Times: Capable of responding to audio inputs in as little as 232 milliseconds, mimicking human conversational speeds.
Performance 🏎️
GPT-4o excels in various performance metrics, setting new benchmarks for multimodal understanding and text generation.
It matches the performance of GPT-4 Turbo in English text and code while showing significant improvements in non-English languages.
Key Performance Metrics:
- Textual Intelligence: Comparable to GPT-4 Turbo in English text and code.
- Multilingual Capabilities: Improved performance in non-English languages.
- Latency: Responds to audio inputs in 232 milliseconds on average.
- Cost Efficiency: 50% cheaper in API usage compared to previous models.
Pricing 💵
GPT-4o offers competitive pricing, making it a cost-effective solution for a wide range of applications.
Token Pricing
| Model | Input Tokens (per million) | Output Tokens (per million) |
|---|---|---|
| GPT-4o | $15 | $60 |
| GPT-3.5 Turbo | $30 | $40 |
Example Cost Calculation
For a project requiring 10 million input tokens and 5 million output tokens:
- Input Tokens: 10 million * $0.015 = $150
- Output Tokens: 5 million * $0.06 = $300
- Total Cost: $150 + $300 = $450
Use Cases 🗂️
GPT-4o's versatile architecture makes it suitable for a variety of use cases, from customer support chatbots to real-time translation services.
Customization
GPT-4o allows for fine-tuning with custom training data, making it adaptable to specific tasks or domains. This feature is particularly useful for businesses looking to tailor the model's responses to their unique requirements.
Comparison 📊
When compared to other leading models, GPT-4o stands out for its multimodal capabilities and cost efficiency.
Here’s a quick comparison:
| Model | Multimodal Capability | Cost Efficiency | Performance in Non-English Languages |
|---|---|---|---|
| GPT-4o | Yes | High | Excellent |
| GPT-4 Turbo | No | Medium | Good |
| Gemini Flash | Yes | Low | Fair |
| Claude Haiku | No | Medium | Poor |
Comparison with GPT-3.5 Turbo wGPT-4o, and GPT-4
| Feature | GPT-4o | GPT-3.5 Turbo | GPT-4 |
|---|---|---|---|
| Launch Date | July 18, 2024 | 2021-09 | 2021-09 |
| Input Token Cost | $0.15 per million tokens | $0.5 per million tokens | $30 per million tokens |
| Output Token Cost | $0.60 per million tokens | $1.5 per million tokens | $60 per million tokens |
| Context Window | 128K tokens | 16K tokens | 8K tokens |
| Output Tokens per Request | Up to 16K tokens | Up to 4K tokens | Up to 8K tokens |
| Multimodal Capabilities | Text, Vision | Text | Text, Vision (limited) |
| Knowledge Cutoff | October 2023 | 2021 | 2021 |
| Reasoning Benchmark (MMLU) | 82% | 69.1% | 86.8% |
| Math Benchmark (MGSM) | 87.0% | 75.5% | 87.1% |
| Coding Benchmark (HumanEval) | 87.2% | 71.5% | 90.2% |
| Multimodal Reasoning Benchmark (MMMU) | 59.4% | N/A | N/A |
| Supported Languages | Same as GPT-4 | English | Multiple (same as GPT-4o) |
| API Availability | Yes | Yes | Yes |
| Latency | 2x faster than GPT-4 Turbo | Standard | Standard |
| Price | 15 cents per million input tokens, 60 cents per million output tokens | $0.5 per million input tokens, $1.5 per million output tokens | $30 per million input tokens, $60 per million output tokens |
Conclusion
GPT-4o represents a significant advancement in the field of large language models. Its ability to handle multiple modalities within a single neural network sets it apart from its predecessors. With competitive pricing and enhanced performance, especially in non-English languages, GPT-4o is a versatile and cost-effective solution for businesses and developers alike. Its built-in safety measures further ensure that it can be used responsibly, making it a robust choice for a wide range of applications.
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