Hector 22c5d016d7 feat: DeRonin Chinese AI Stack — 87% cost-cut field report

- raw: raw/xpost/2026-06-29_deronin-chinese-ai-stack-cost-savings.md (NEW)
- wiki: concepts/llm/chinese-model-cost-routing.md (NEW — 8.5 KB)
  - Swap matrix: Opus→Kimi, GPT→Qwen, Sonnet→GLM, GPT-mini→MiMo, GPT-Image→Wan, Sora→Kling
  - Barbell routing connection + Hector-vs-DeRonin comparison
  - Factory-for-Gods thesis validation with empirical data
  - Cross-refs to 8 wiki pages + model-router skill
- wiki: index.md (updated — 43. Update)
- wiki: log.md (updated)

2026-06-29 19:34:04 +02:00

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DeRonin: "My entire AI stack is now Chinese 🇨🇳 — 87% cheaper, same revenue"

Source: X-Post by @DeRonin_ Posted: 2026-06-29 Shared by: Pit Weber in OME-Gruppe, Topic "Tips & Tricks" (Topic 27)

Post Content

"My entire AI stack is now Chinese 🇨🇳 — 87% cheaper, same revenue"

DeRonin documents a full swap from Western frontier models to Chinese alternatives across six task categories, with a 30-day outcome report.

Model Swaps by Task

#	Task	Western Model → Chinese Model	Benchmark Gap	Cost Factor
1	Reasoning / Backend Brain	Claude Opus 4.8 → Kimi K2.7	~8%	~11× cheaper
2	Code Generation	GPT-5.5 → Qwen 3.7 Max	~18%	~7× cheaper
3	Agent Loops + Tool Calling	Claude Sonnet 4.7 → GLM 5.2	~3%	~5× cheaper (input)
4	Cheap Volume / Bulk Processing	GPT-5.5 mini → MiMo V2.5	~6%	~12× cheaper
5	Image Generation	GPT-Image-2 → Wan 2.5	~5%	~8× cheaper
6	Video Generation	Sora 2 → Kling 3.0	roughly equal	~6× cheaper

30-Day Result

Operating costs: dropped 87%
Output quality: dropped 4% average
Revenue: unchanged
Full article with routing logic: promised for tomorrow (2026-06-30)

Engagement

2.5K+ likes
130K+ views

Relevance to Our Setup

This post directly validates our Barbell Model Routing decision (MEMORY.md, 2026-06-28):

We already run GLM 5.2 as primary (Task 3 in DeRonin's stack)
Kimi K2.7 is available as subagent option (Task 1)
Qwen3 Coder and MiMo are in our fallback chain (Tasks 2 & 4)
The skills/openclaw-model-router skill implements the 5-tier routing that DeRonin describes empirically

DeRonin's post is the practical field report for what Miles Deutscher formalized as "Token Engineering" (barbell strategy: expensive planning → cheap execution → expensive verification) and what TheProphet described macro-economically as "China builds the factory for gods" (see ../../wiki/concepts/llm/ai-intelligence-commoditization-thesis.md).

wiki/concepts/llm/chinese-model-cost-routing.md — Wiki page created from this source
wiki/concepts/llm/ai-intelligence-commoditization-thesis.md — Macro-thesis (Frontier vs. Factory)
wiki/architecture/model-routing.md — Our routing architecture
skills/openclaw-model-router/SKILL.md — 5-tier routing skill

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