Pricing, Performance & Features Comparison
The model’s creative writing ability has leveled up–more natural, engaging, and tailored writing to improve relevance & readability. It’s also better at working with uploaded files, providing deeper insights & more thorough responses.
QwQ-32B-Preview is an experimental research model focusing on AI reasoning, with strong capabilities in math and coding. It features 32.5 billion parameters and a 32,768-token context window, leveraging transformer architecture with RoPE and advanced attention mechanisms. Despite its strengths, it has certain language mixing and reasoning limitations that remain areas of active research.