11X cheaper than ChatGPT: Tiny 150M model just proved AI doesn't need to "think out loud" to be smart
- A 150M model reached 29.5% while costing just $0.0007 per task
- ChatGPT scored higher, yet its comparable reasoning runs cost substantially more
- BDH-CQ performs reasoning internally instead of generating lengthy intermediate text
Pathway, an AI lab focused on building Post-Transformer architectures, has released new benchmark results for its BDH-CQ reasoning model.
According to the researchers, their 150M-parameter model scored 29.5% pass@2 on the public ARC-AGI-1 evaluation set.
It achieved this at a computed inference cost of $0.0007 per task, roughly eleven times cheaper than ChatGPT's underlying GPT 5.6 Luna (Low) model.
A cheaper way to reason
Today, many AI tools waste computing power because of how they are designed, not because deep reasoning demands it.
"Today's AI pays a steep token cost for reasoning, but that cost is imposed by architecture, not by any law of intelligence," said Zuzanna Stamirowska, CEO and co-founder of Pathway.
“We show that a...
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