The O1-Preview by OpenAI is a cutting-edge Large Language Model (LLM) designed to deliver high performance with a substantial context window.
Released in June 2024, this model is built to handle extensive text inputs and outputs, making it suitable for various advanced applications.
Scorecard
| ✅🔜 Next week | Not yet, Try and GPT-4o instead here |
| 🐙 Model Type | Large Language Model (LLM) |
| 🗓️ Release Date | September 2024 |
| 📅 Training Data Cut-off Date | October 2023 |
| 📏 Parameters (Size) | N/A |
| 🔢 Context Window | 128k tokens |
| 🌎 Supported Languages | Multiple |
| 📈 MMLU Score | N/A* |
| 🗝️ API Availability | Yes |
| 💰 Pricing (per 1M Token) | Input: $15, Output: $60 per 1M tokens |
Architecture 🏗️
The O1-Preview model features a robust architecture designed to process up to 200,000 tokens in a single pass. This extensive context window allows the model to maintain coherence over long documents and complex conversations, setting it apart from many competitors.
Performance 🏎️
The O1-Preview excels in various benchmarks, including an MMLU score of 88.7%. This high score indicates its strong performance in understanding and generating human-like text across multiple domains. Its architecture supports real-time processing, making it suitable for applications requiring quick and accurate responses.
Pricing 💵
Token Pricing
- Input Tokens: $15 per 1M tokens
- Output Tokens: $60 per 1M tokens
Example Cost Calculation
For a project requiring 5 million input tokens and generating 2 million output tokens, the cost breakdown would be:
- Input Cost: 5M tokens * $3 = $15
- Output Cost: 2M tokens * $15 = $30
- Total Cost: $15 (input) + $30 (output) = $45
Use Cases 🗂️
The O1-Preview model is highly versatile, suitable for various applications such as:
- Content Generation: Producing high-quality articles, reports, and creative writing.
- Customer Support: Automating responses to customer inquiries with high accuracy.
- Data Analysis: Summarizing and interpreting large datasets.
Customization
Users can fine-tune the O1-Preview model to better suit specific needs, adjusting parameters and training it on custom datasets to enhance its performance in niche areas.
Comparison 📊
When compared to other models in its class, the O1-Preview stands out due to its extensive context window and high MMLU score. While it is more expensive than some alternatives, its performance and flexibility justify the cost for many high-stakes applications.
Conclusion
The O1-Preview model by OpenAI is a robust and high-performing LLM, offering a substantial context window and versatile applications. With its competitive pricing and strong performance metrics, it is well-suited for businesses and developers looking to leverage advanced AI capabilities.
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