Qwen added a 32B model to the Qwen2.5-VL family, using reward-based training to improve visual reasoning and response presentation. The release account reports gains on tests involving image-based reasoning and mathematics, alongside more detailed, better-formatted answers. The model was released under Apache 2.0.
The larger model it reportedly surpassed was Qwen2-VL-72B, from the preceding generation. That comparison supports evaluating a newer, smaller model for these tasks; it does not establish superiority over Qwen2.5-VL-72B. Presentation quality and mathematical accuracy were also separate targets, so a polished answer alone cannot show that the underlying solution is correct.
Terms in this piece · Glossary
LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
