Pricing, Performance & Features Comparison
Phi-3.5-mini-128k-instruct is a compact, advanced language model that can handle up to 128K tokens in context, enabling tasks such as lengthy document summarization, multi-turn conversation, and complex reasoning. It is optimized for logic, code, and math, and provides robust multi-lingual capabilities. With 3.8 billion parameters, it uses a dense decoder-only transformer architecture that balances performance and efficiency.
cohere/command-r-08-2024 is a 32-billion parameter generative model tailored for multilingual reasoning, summarization, and question answering. It supports advanced tool use features (function calling, agents) and retrieval-augmented generation, while maintaining robust performance across diverse tasks. The model excels at long context interactions, with improved decision-making and structured data analysis.