Qwen3.8 27B

User benchmarks oMLX 0.7.2 serving Inco AI's Splash package for Qwen3.8-27B (4-bit target plus DFlash 2 draft) on a MacBook Pro M5 Max with 48 GB, using a Python code context and 128 generated tokens per test. At a 4096-token prompt the single request reaches 93.8 t/s decode and 1207.0 t/s prefill; longer prompts give 189.4 t/s decode at 16382 tokens and 110.2 t/s at 65536 tokens. Batched continuous batching reaches 413.7 t/s aggregate at 2x and 407.0 t/s at 4x, with peak memory between 19.1 GB and 22.2 GB.