Same model, same server, different harness: PI Agent beat OpenCode badly on Qwen3.8-27B.

Q4_K_M through llama-server on an RTX 3090, classic bouncing-ball task. PI Agent produced better output using fewer tokens, running faster, avoiding OpenCode's hard 32k output cap and freezes. r/LocalLLaMA The concrete difference is compaction timing: with a 100k context and 32k output set, OpenCode starts compressing at 67k while PI Agent holds to 90k. For local-model users the harness is now as much of a variable as the model, and compaction thresholds are a setting almost nobody inspects.