Gemma-4-26B-A4B achieves up to 69% reduction in thinking tokens
October 23, 2026
The ThinkingCap Gemma-4-26B-A4B model reduces thinking tokens by an average of 38.9% while maintaining accuracy within 0.15pp across twelve benchmarks. It serves as a drop-in vLLM replacement and reduces response looping from 3.6% to 0.8%.
HOW THIS AFFECTS YOU
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builderYou can achieve significantly lower inference latency and costs by swapping to this model without losing reasoning quality.