Pricing, Performance & Features Comparison
ai21/jamba-instruct is an instruction-tuned LLM from AI21 Labs, built on the Mamba-Transformer architecture. It provides a 256k-token context window and excels at tasks like summarization, entity extraction, function calling, JSON-based output, and citation. It is specifically designed for enterprise use and top-tier performance across multiple benchmarks.
Phi-3-mini-128k-instruct is a 3.8 billion-parameter instruction-tuned language model with strong reasoning and logic capabilities. It excels at tasks such as coding, mathematics, content generation, and summarization. Designed for memory/compute-constrained environments, it offers a large 128k token context window for handling extended text input.