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- 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)
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2.8 KiB
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61 lines
No EOL
2.8 KiB
Markdown
---
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type: xpost
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source_url: https://x.com/DeRonin_/status/2071561335234531578
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author: DeRonin (@DeRonin_)
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date: 2026-06-29
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posted_by: Pit Weber (@PWeber)
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topic: "Tips & Tricks (Topic 27)"
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tags: [xpost, chinese-models, cost-routing, barbell, model-swap, kimi, qwen, glm, mimo, wan, kling, cost-reduction, ai-stack]
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---
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# DeRonin: "My entire AI stack is now Chinese 🇨🇳 — 87% cheaper, same revenue"
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**Source:** [X-Post by @DeRonin_](https://x.com/DeRonin_/status/2071561335234531578)
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**Posted:** 2026-06-29
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**Shared by:** Pit Weber in OME-Gruppe, Topic "Tips & Tricks" (Topic 27)
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## Post Content
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> "My entire AI stack is now Chinese 🇨🇳 — 87% cheaper, same revenue"
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DeRonin documents a full swap from Western frontier models to Chinese alternatives across six task categories, with a 30-day outcome report.
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## Model Swaps by Task
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| # | Task | Western Model → Chinese Model | Benchmark Gap | Cost Factor |
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|---|------|-------------------------------|---------------|-------------|
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| 1 | Reasoning / Backend Brain | Claude Opus 4.8 → **Kimi K2.7** | ~8% | ~11× cheaper |
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| 2 | Code Generation | GPT-5.5 → **Qwen 3.7 Max** | ~18% | ~7× cheaper |
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| 3 | Agent Loops + Tool Calling | Claude Sonnet 4.7 → **GLM 5.2** | ~3% | ~5× cheaper (input) |
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| 4 | Cheap Volume / Bulk Processing | GPT-5.5 mini → **MiMo V2.5** | ~6% | ~12× cheaper |
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| 5 | Image Generation | GPT-Image-2 → **Wan 2.5** | ~5% | ~8× cheaper |
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| 6 | Video Generation | Sora 2 → **Kling 3.0** | roughly equal | ~6× cheaper |
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## 30-Day Result
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- **Operating costs:** dropped 87%
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- **Output quality:** dropped 4% average
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- **Revenue:** unchanged
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- **Full article with routing logic:** promised for tomorrow (2026-06-30)
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## Engagement
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- 2.5K+ likes
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- 130K+ views
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## Relevance to Our Setup
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This post directly validates our **Barbell Model Routing** decision (MEMORY.md, 2026-06-28):
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- We already run **GLM 5.2** as primary (Task 3 in DeRonin's stack)
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- **Kimi K2.7** is available as subagent option (Task 1)
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- **Qwen3 Coder** and **MiMo** are in our fallback chain (Tasks 2 & 4)
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- The `skills/openclaw-model-router` skill implements the 5-tier routing that DeRonin describes empirically
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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]]).
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## Related Wiki Pages
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- `wiki/concepts/llm/chinese-model-cost-routing.md` — Wiki page created from this source
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- `wiki/concepts/llm/ai-intelligence-commoditization-thesis.md` — Macro-thesis (Frontier vs. Factory)
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- `wiki/architecture/model-routing.md` — Our routing architecture
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- `skills/openclaw-model-router/SKILL.md` — 5-tier routing skill |