Jev 在 ViZDoom 实时对战里击败 Qwen3.5-4B
工程师在 DGX Spark 上让四个模型实时打 Doom，Jev 以 5.63 击杀、117ms 延迟胜出，靠的是决策速度而非推理深度。
Jev beat Qwen3.5-4B at Doom. Not because it reasoned better, but because it made decisions faster. An engineer gave four models control of ViZDoom running in real time on a DGX Spark: • Jev: 5.63 kills, 117ms latency • Qwen3.5-4B: 3.63 kills, 147ms • Laya: 1.25 kills, 16ms • ModernCE: 1.25 kills, 8ms Laya and ModernCE were extremely fast, but lacked the spatial reasoning to aim and survive. Qwen made better decisions, but came dangerously close to missing the game’s deadlines. Jev found the sweet spot: enough intelligence, delivered fast enough to act. This is probably how real-time agents should be built. Use a reasoning model to plan the mission, then a smaller specialized model to handle continuous micro-decisions.