# BottleCap releases reasoning model with shorter outputs and an accuracy tradeoff

_Published Thursday, September 24, 2026 at 3:20 PM EDT · AI · Latest · Tier 2 — Notable_

![BottleCap releases reasoning model with shorter outputs and an accuracy tradeoff — Primary](https://www.marktechpost.com/wp-content/uploads/2026/09/blog111-1-4.png)

BottleCap AI has released ThinkingCap-Qwen3.8-27B, a version of Qwen3.8-27B tuned to use fewer tokens while working through answers. BottleCap reports an average 37.2% reduction in thinking tokens across 12 benchmarks, while average accuracy fell from 86.65% to 85.79%.

The model can run with vLLM or SGLang using the base model's serving setup. Its weights are gated, and commercial use beyond the small-business license requires an agreement with BottleCap. On the AIME 2026 math benchmark, accuracy fell from 98.13% to 94.27%.

## Sources

- [MarkTechPost](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/)

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Canonical: https://techandbusiness.org/newswire/4YVeMgfyLD1i9bgXf0_sVW
Published: 2026-09-24T19:20:48.785Z
Story chronology: 2026-09-24T18:58:56.000Z
Retrieved: 2026-09-24T21:07:52.244Z
Publisher: Tech & Business (techandbusiness.org)