Flint 40B (2.5B active)

User benchmarks Flint 40B-A2.5B at 244 t/s single-request decode and 5,230 t/s prefill on one RTX PRO 6000 Blackwell 96 GB, comparing it with Ornith 1.5 35B-A3B and Nemotron 3.5 Lightning 30B-A3B in an agentic coding run. Setup is llama.cpp b11803 with Q8_0 GGUF, 64K context per slot and --parallel 3, three workers running in parallel behind Opus 5.5 as planner. Flint finished in 7:36 with 6 fixes and $0.41 of Opus spend, against Ornith's 9:04, 14 fixes and $0.49. Nemotron had the best decode and prefill on paper but generated about 5x more tokens and needed six fix waves. One run per model, variance not measured; Q8_0 on CUDA, so NVFP4/MLX numbers will differ.