Pricing, Performance & Features Comparison
ai21/jamba-1-5-mini is a general-purpose instruction-following text generator that can handle tasks like question answering, summarization, and sentiment analysis in multiple languages. It supports a large 256K token context window and can be used for both research and commercial applications. The model leverages an advanced SSM-Transformer architecture and can produce grounded, structured outputs such as JSON.
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.