GoKawiilBottleCap AI releases ThinkingCap for Google's Gemma-4-26B-A4B model
BottleCap AI has published a fifth ThinkingCap model, this time trained on Google's Gemma-4-26B-A4B-it, cutting the number of 'thinking' tokens the model uses by up to 69.1% and an average of 38.9% across twelve benchmarks. The company says accuracy drops by only 0.15 percentage points, and that looping behavior fell from 3.6% of responses to 0.8%. A PRO version is also offered, claiming up to 87.6% fewer thinking tokens (62% average) for enterprise customers.