Atm OMP (oh-my-pi) with opencode-go subscription using deepseek-v4-flash-0731 (and mimo-v2.5 as advisor). Used pi before (still good, but too minimalist for all general use; works on Android under Termux btw) and OpenCode (which is ok too). I've used Codex the longest, but the $20 sub doesn't last that long. Before that Claude (and Claude on the web - about Nov'25), but nowadays with the new models not possible to do anything on the cheap sub. Got Zai (GLM-5.2) legacy sub to supplement too for variety. :-) Run local jobs on the 7900xtx (24gb vram - so dense models) batch bulk jobs. Non-dense models like nemotron-cascade-2-30b-a3b MoE run at 100 tok/s, looking forward to try the new lightning-3.5-30b-a3b. And got old MBP M2 Max 96gb uram (unified ram) for bigger sparse MoE models. Testing DS4F there under ds4 server/harness (too slow, 12-15 tok/s even with REAP25 reduced model), and (got agents) porting Ling-3.0-flash atm from llama.cpp -> ds4. Hoping only A5B (5B active, versus 13B of DS4F) will result in better tok/s. TBS. Back in Feb-Apr'26 looked local will be the only way to run llm jobs (plus 300w gpu job works out for office heating when cold), otherwise the ex-quota API payg costs would bankrupt me. But now with the oss weights models and providers like opencode - actually it's not only faster but also cheaper for me to run llm jobs on the api. Engines for local - llama.cpp for all, hipfire (mentioned) for the 7900xtx, and mlx on the apple ASI (that never quite work out for me). And ds4 trying forever when off-line :-) - e.g. on a flight - either ds4-agent, or ds4-server + agent pi. And I use Hermes as a general agent, non-coding agent, for everything that's not strictly coding.
Also if I may ask, what does the rest of your stack look like (agent, harness etc)?