Qwen 3.8-27B/Unsloth Built this car dealership site in OMP
Prompt: Build a high-gloss car dealership website for Apex Motors, defined by near-black surfaces, electric blue accents and cinematic vehicle photography, with the two things buyers actually use up front: a filterable
Qwen 3.8 Max (2.4T, 1bit): 53,448 tok, 1h 54m, 7.8 tok/s
Ornith 1.5 (397B): 53,365 tok, 38m, 23.5 tok/s GLM 5.2: 20,864 tok, 12m, 29.6 tok/s
Relay Reasoning improved verified accuracy in my local experiments by carrying forward useful results and execution feedback between attempts.
Qwen 3.8 27B, local: MATH-500: 63.6% → 89.0% AIME 2026: 60.0% → 70.0%
Ornith 1.5 35B and Qwen 3.8 27B both dropped this month promising the best local AI model you can run at home.
Only one of them has actually proven it. This breakdown puts ornith_ 1.5 35B vs Alibaba_Qwen 3.8 27B head to head using real benchmarks, independent testing, and
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