Offer a detailed comparative analysis of leading artificial intelligence models primarily released between late 2024 and mid-2025. They examine key features including intelligence and reasoning capabilities assessed through various benchmarks, performance metrics like speed and latency, and different pricing models highlighting cost-effectiveness. The text discusses architectural trends such as the prevalence of Transformer and Mixture-of-Experts designs, the expansion of context windows, and the increasing adoption of multimodality.

Finally, the analysis touches upon real-world use cases, inherent limitations, and the importance of ethical considerations when selecting and deploying these rapidly evolving AI technologies.