DeepSeek harness burns 12.5x more tokens than Pi — 29 built-in plugins and 70% tool definitions are why
teortaxesTex · x · 2026-09-25
A teardown of Pi vs the new DeepSeek harness (GUI) shows massive token overhead: across three test tasks the harness used 69,418 tokens vs Pi's 5,532 — a 12.5x gap — with identical results and Pi even faster.
Context breakdown:
- Tool definitions are the biggest culprit: 70% of the harness's single-request context (70–72% text tasks, 62% code tasks), because standard mode ships 29 built-in plugins; Pi disables tools on text tasks and keeps just 4 CRUD tools for code
- System prompts: 19–20% (code 17%) for the harness
- User messages, history, and tool returns: 8–10% (text) / 21% (code)
System prompts and user messages are similar between the two — the token gap mostly comes from plugin tool definitions in standard mode; minimal mode should cut consumption substantially. The author plans further analysis.
More from coding & agent
- Hamel Husain, BEBischof and isaac_flath rank AI engineering techniques in a live tier list — HamelHusain · 2026-09-26
- In an AI-first world, your own understanding of the project is state to preserve — brandon_xyzw · 2026-09-26
- Railway launches free no-account VMs (59 min) and OpenCode cloud agents — jasonkneen · 2026-09-26
- 575 PRs later: how the Astra agent untangled a sync-SQLite bottleneck in OC — soumitrashukla9 · 2026-09-26
- From GoPro footage to 3D scenes: a two-week agent skill for full-home reconstruction — doodlestein · 2026-09-26
- Sentinel splits monolithic Three.js into scene-based workflows with HD PNG sequence export — PurzBeats · 2026-09-26