Researchers trained a Deep Research agent with 32 H100s and open-sourced everything

Ohio State University's NLP team released QUEST-35B, an open-source Deep Research agent trained using ~32 H100s and ~8K synthetic samples.

The team open-sourced the training recipe, code, weights and datasets. Benchmark results show competitive performance against several frontier Deep Research systems.

What do you think is the biggest remaining gap between open-source Deep Research agents and frontier closed systems?

Source: Professor Yusu