│ Running @openclaw on Claude Opus 4.5 (200K context)?Here's how to upgrade to Opus 4.6 with 1M token context in under 3 min:1️⃣ Update OpenClaw:openclaw gateway stop
│ npm update -g openclaw
│ openclaw gateway start2️⃣ Switch model — type in chat:
│ /model claude-opus-4-63️⃣ This is the key step most people miss — run:
│ /compactYour context window jumps from 200K → 1M instantly.Before: tokens 130k/200k (65%)
│ After: tokens 19k/1.0m (2%) If you run multiple agents, make it permanent:openclaw tui --session agent:<id>:mainThen /model claude-opus-4-6 + /compact for each one.That's it. 200K
│ → 1M. Go build. 🦞
$9,499 vs $179,000. Same model. Do the math.
Open-source models are getting scary good. A $9,499 Mac Studio (M4 Ultra / 512GB) can run Kimi K2.5 — a 1T parameter model rivaling Opus — 24/7, locally, no cloud needed.
Same thing on NVIDIA? An HGX H100 8-GPU board runs $179,000, plus server, cooling, power. 19x the price, only 35% faster.
Now imagine Apple charging $199/mo for your own private AI cloud. M6 Ultra Chip, your models, your data. That's not a Mac — that's a moat. Cook's best trick has always been turning hardware into recurring revenue.
Everyone's fighting to build better LLMs. Apple's quietly selling better shovels.
Long $AAPL 🍎
#KimiK2.5