Gemma-4-26B-A4B with 39-69% less thinking at same accuracy(bottlecapai.com)
103 points by armcat | 19 comments
BottleCap AI blog post announcing ThinkingCap-Gemma-4-26B-A4B, a fine-tune cutting thinking tokens by 39% on average with near-unchanged benchmark accuracy.









![Screenshot of aleph-alpha.com: Kolibri – Tech Report [pdf]](https://hn.urlbox.com/shots/renders/2026/10/3/afb8e7e8-ce88-431e-bc45-8ebfad65531a.jpg)
















![Screenshot of arxiv.org: GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models [pdf]](https://hn.urlbox.com/shots/renders/2025/8/12/68eb07e3-6f81-44a7-9646-4891d3adb444.jpg)




![Screenshot of twitter.com: Mistral "Mixtral" 8x7B 32k model [magnet]](https://hn.urlbox.com/shots/renders/2023/12/8/7692ee30-ddfc-47ef-b630-0e0d65669ae0.jpg)


