| Feature |
Strengths |
Weaknesses |
| Context Window Size |
- Massive context window of 128,000 tokens (about 300 pages).
- Can process large datasets in one go.
|
- Limited number of sessions per week due to metering based on runs.
- Requires strategic planning to maximize usage.
|
| Advanced Reasoning |
- Capable of complex reasoning and chain-of-thought processing.
- Excels at planning and high-level strategy.
|
- Still experimental with some features under development.
- May require user guidance for optimal performance.
|
| Handling Large Contexts |
- Efficient at sifting through large amounts of information.
- Useful for analyzing Git repositories, research papers, and more.
|
- Prone to overload if not managed properly.
- Requires front-loading of tasks to optimize runs.
|
| Prompt Engineering Efficiency |
- Excellent at condensing and refining prompts.
- Facilitates iterative testing for better results.
|
- Bad prompts can lead to unclear or incorrect responses.
- Requires clarity and specificity in user input.
|
| Planning and Architecture |
- Great at outlining tasks, brainstorming, and mapping specifications.
- Can generate detailed action plans and file structures.
|
- Not a "done-for-you" solution; needs user guidance.
- Outputs require verification for accuracy.
|
| Unpredictability in Coding Tasks |
- Provides high-level coding strategies and frameworks suggestions.
- Assists in product specification and development planning.
|
- Prone to hallucinations, inventing code elements that don't exist.
- May fabricate class names or functions, leading to errors.
|
| Hallucinations |
- Early predictions suggest fewer hallucinations than older models.
|
- Still susceptible to making up information.
- Critical oversight is necessary, especially for factual accuracy.
|
| Availability |
- Available in preview mode for ChatGPT Plus users.
- Offers both standard and mini API versions.
|
- Limited access due to preview status.
- Features are still under development; not fully launched.
|