AI researchers develop 'reasoning' model for under $50

Researchers created an AI reasoning model on par with OpenAI's o1 for less than $50
The floodgates have opened for building AI reasoning models on the cheap. 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.
Researchers created an open rival to OpenAI’s o1 ‘reasoning’ model for under $50
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
New AI Reasoning Model Rivaling OpenAI Trained on Less Than $50 in Compute
It's cheap to copy already built models from their outputs, but likely still expensive to train new models that push the boundaries.
US researchers develop AI reasoning model for mere $50, challenges OpenAI, DeepSeek
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.
OpenAI releases its new o3-mini reasoning model for free
OpenAI just released o3-mini, a reasoning model that’s faster, cheaper, and more accurate than its predecessor.
OpenAI launches o3-mini, its latest ‘reasoning’ model
OpenAI has launched a new 'reasoning' AI model, o3-mini, the successor to the AI startup's o1 family of reasoning models.
OpenAI makes its o3-mini reasoning model generally available
OpenAI has also made the new model available via several of its application programming interfaces. Developers can use the APIs to integrate o3-mini into their applications. The API version of the LLM is available in three editions with varying output quality: o3-mini-low, o3-mini-medium and o3-mini-high.
Academic researchers find a way to train an AI reasoning model for less than $50
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.
Why Doing Chain-Of-Thought Prompting In Reasoning LLMs Gums Up The Works
Chain-of-thought is a vital technique in prompting generative AI. Turns out that advanced AI does this implicitly. Problems ...
Reliable ‘reasoning’ AI agents may be just around the corner thanks to DeepSeek’s innovations, say researchers
Innovations made by China’s DeepSeek could soon lead to the creation of AI agents that have strong reasoning skills but are ...
I put OpenAI's new o3-mini model to the test — and I'm shocked by the results
OpenAI has just released o3-mini, a new reasoning model which offers the same kind of performance as its earlier o1 model, ...
OpenAI responds to DeepSeek competition with detailed reasoning traces for o3-mini
By showing a more detailed version of the chain of thought of o3-mini, OpenAI is closing the gap with DeepSeek-R1.
Qwen AI model by Alibaba offers low-cost alternative to DeepSeek
Researchers from Stanford University and the University of Washington, including Chinese-American “AI godmother” Li Feifei, ...
These researchers used NPR Sunday Puzzle questions to benchmark AI ‘reasoning’ models
Researchers used questions from the NPR Sunday Puzzle challenge to build a benchmark to test AI 'reasoning' models.
Palantir On Verge Of Exploding With Powerful Reasoning AI
Palantir’s dominance in AI applications positions it for growth in the AI-driven future. Read why PLTR stock is a strong bet ...
Google makes Gemini 'thinking' model available on the app and launches Gemini 2.0 Pro
Announced in December, 2.0 Flash Thinking rivals OpenAI's o1 and o3-mini reasoning models in that it's capable of working ...