<p>BottleCap AI has released ThinkingCap-Qwen3.8-27B, a fine-tune of Qwen3.8-27B that spends 37.2% fewer thinking tokens across 12 benchmarks. Macro accuracy moves from 86.65% to 85.79%, and long-context AA-LCR improves by 2.25pp. The model is a drop-in replacement on vLLM and SGLang, with FP8, NVFP4, GGUF and MLX builds.</p>
<p>The post <a href="https://www.marktechpost.com/2026/09/24/bottlecap-ai-releases-thinkingcap-qwen3-8-27b-37-2-fewer-thinking-tokens-at-a-0-86pp-accuracy-cost/">BottleCap AI Releases ThinkingCap-Qwen3.8-27B: 37.2% Fewer Thinking Tokens at a 0.86pp Accuracy Cost</a> appeared first on <a href="https://www.marktechpost.com">MarkTechPost</a>.</p>