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.
Mixtral 8x7B is a high-quality sparse mixture of experts (SMoE) large language model with open weights, released under Apache 2.0 license. Despite having 45 billion parameters, its architecture requires compute equivalent to a 14 billion parameter model, enabling 6x faster inference and strong performance that outperforms Llama 2 70B and matches or exceeds GPT-3.5 on many benchmarks.