AI model
The 32-billion-parameter model in the Qwen 3 family of open-weight language models.
GPT-4.1 scored 93.49% on BrowseComp-Plus with documents supplied and 14.58% when BM25 searched, according to The New Stack. That 78.9-point gap sizes the room for retrieval work on one fixed corpus. Production failure rates need their own measurement.
Reality
Aleph Alpha released Kolibri, an Apache 2.0 German-English model that activates 3.46B of its 78.1B parameters per token. Each token costs about as much compute as a small model, yet a team hosting it in Europe still has to fit every expert in memory.
Perspective Coverage
6 publishersReality
Researchers writing on LessWrong found only Nemotron 3 Super and Qwen3 32B changed refusals when test suspicion was removed from their reasoning traces. In most other models, test talk in a trace looks like general caution, so it is weak evidence of eval gaming.
Reality
A dev.to post scores ten coding models on five real tasks and divides by price. The method is cheap to copy; the vendor plumbing it recommends deserves more scrutiny than the arithmetic.
Reality
One engineer's home lab tally: $1,400 a month for two A100s running 40% idle, against open-weight models he measured inside noise of GPT-4o. The break-even is real, and it sits high.
Reality