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.

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

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.

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.