Pricing, Performance & Features Comparison
AI21’s Jamba-1.5-Large is a high-performance, instruction-following LLM that excels in long-context handling and offers robust capabilities for tasks like text generation, summarization, and QA. It features novel Mamba-Transformer Mixture of Experts technology to deliver both scalability and speed. The model is optimized for enterprise applications, providing tools such as function calling and structured JSON output.
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.