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

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.

The S1-32B model represents a paradigm shift in AI reasoning capabilities, introducing an innovative technique called ‘test-time scaling.’ This approach allows the model to dynamically allocate computational resources during testing, enabling it to iterate and refine its responses.

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

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

Microsoft is bringing OpenAI’s o1 reasoning model to all Copilot users this week. You won’t need to subscribe to a $20 monthly Copilot Pro or ChatGPT Plus plan to get it either, as Microsoft is making it free for all users of Copilot.

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.