Expired50% confidenceBenchmarkExact time
After enabling reasoning mode, Qwen3.8-27B's bug detection rate dropped to 6/20, and 12 of 40 answers could not be parsed as JSON because they exhausted the 12,000-token output limit; Ornith 1.5's detection rate remained 8/20, with 13/40 answers unparseable, but it took about half the time of Qwen.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/12/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/26/2026(expired)
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UnverifiedAdding a rule book to the prompt drove the wild-guess rate to zero for seven of the eight models, and reduced Qwen from 59% to 7%.69% similarUnverifiedA 70B parameter model after Q4 quantization often still has a lower perplexity than a 13B model under Q8 or even FP16.66% similarUnverifiedUnder Q2K quantization, average generation speed is 13.9 tokens per second for short texts, 10.5 for long texts, and peaks at approximately 18.65% similarUnverifiedRanked by question difficulty, persistence rate was 91.4% on the 60 questions that all models answered correctly, but only 73.5% on the 52 questions that at least one model got wrong, indicating that sycophancy tracks uncertainty.65% similarUnverifiedThe more detailed the answers provided to the AI during the requirements analysis phase, the lower the probability of bugs in the final product; the cost of fixing errors found in the requirements phase is only 1/10 to 1/100 of the cost of finding the same type of error in the coding phase.65% similar
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