Quasar 10B is a mid-sized open-weight text model built on Qwen3.5 foundations, notable for its exceptionally large context window of roughly 2 million tokens — far beyond what most models its size offer. This means it can hold and reason over very long documents or conversations without truncation. At 10 billion parameters, it sits in a practical range where capability and resource requirements are reasonably balanced.