Industry-leading performance on complex reasoning tasks
Extensive 128K token context window for long documents
Multimodal capabilities with vision understanding
Robust function calling for tool integration
Well-documented API with SDKs for major languages
Regular model updates and improvements
Cons
Higher cost compared to other LLMs ($0.03-0.06 per 1K tokens)
Rate limits can be restrictive for high-volume applications
No fine-tuning available for GPT-4 models
Occasional inconsistencies in complex mathematical reasoning
Data cutoff limits real-time information access
Use Cases
Best For:
Complex reasoning and analysis tasksCode generation and debuggingContent creation requiring nuanceMulti-step problem solvingDocument analysis and summarization
Not Recommended For:
Budget-conscious applicationsReal-time streaming applicationsOffline or edge deploymentApplications requiring model customization