Researchers at Stanford and the University of Washington have developed a model that performs comparably to OpenAI o1 and DeepSeek R1 models in math and coding — for less than $50 of cloud compute credits.

A small team of AI researchers from Stanford University and the University of Washington has found a way to train an AI reasoning model for a fraction of the price paid by big corporations that produce widely known products such as ChatGPT.

Researchers from Stanford and Washington developed an AI model for $50, rivaling top models like OpenAI's o1 and DeepSeek.

A team of researchers from Stanford University and the University of Washington have developed a new reasoning model, dubbed s1, that could beat OpenAI’s o1 and DeepSeek’s R1, all for less than $50 in cloud computing costs.

Researchers in artificial intelligence (AI), from Stanford and the University of Washington, have trained a "cutting-edge" reasoning AI model for under $50 in cloud compute credits, according to a research paper published recently.

It's cheap to copy already built models from their outputs, but likely still expensive to train new models that push the boundaries.

A team of researchers at Stanford and the University of Washington have developed an AI reasoning model, s1, for less than $50. This is a massive achievement, given the notion that significant financial resources are essential for developing AI reasoning models.