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.

Explore the key differences between OpenAI's o3-mini and o1-mini models. Learn which AI model suits your needs for speed, cost, and precision

AI researchers at Stanford and the University of Washington were able to train an AI "reasoning" model for under $50 in cloud compute credits, according

What sets it apart from other AI models is its ‘test-time scaling,’ a technique that allows it to iterate its responses by dynamically using additional computational resources during testing. Reportedly,

Researchers managed to create a low-cost AI reasoning model rivaling OpenAI’s in just 26 minutes, as outlined in a paper published last week. The model, called s1, was refined using a small dataset of 1,000 questions and for under $50, according to TechCrunch.

OpenAI has launched a new 'reasoning' AI model, o3-mini, the successor to the AI startup's o1 family of reasoning models.

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.