I gave Qwen 3.8 27B a reverse-engineering job I assumed needed a frontier model, and it finished in 30 minutes

The Qwen 3.8 27B model, running on a Lenovo ThinkStation PGX with Nvidia's GB10 Grace Blackwell chip, demonstrated impressive performance in a reverse-engineering task, completing it in 30 minutes. While initially achieving 15 to 30 tokens per second, a speculative-decoding setup using SGLang, NVFP4, and DFlash2 boosted its speed to around 50 tokens per second. Artificial Analysis ranks Qwen 3.8 27B as the top open-weights model in its 4B to 40B size class, outperforming 135 other models with a 52 on its intelligence index.