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.
The Llama 3-8B-Instruct model is an 8B-parameter LLM optimized for dialogue and instruction-following. It leverages supervised fine-tuning and reinforcement learning from human feedback to align with helpfulness and safety standards. The model demonstrates strong text and code generation, along with improved reasoning and steerability.