Jamba 2 3B is a compact open-weight model from AI21 Labs that punches above its weight class with an unusually large 262K token context window — rare for a model this size. It runs on the Mamba-Transformer hybrid architecture, which helps it handle long contexts more efficiently than pure transformer models. The trade-off is a smaller parameter count, so raw reasoning depth is more limited than larger siblings.