⚙️ AI Hardware

Open Models Just Ate Closed Ones' Lunch

Open models crossed the line. Closed frontiers? Overpriced relics.

Pricing comparison chart of open vs closed LLMs for agent workloads

⚡ Key Takeaways

  • Open models like GLM-5 match closed on agent tasks at 1/20th cost.
  • Latency edge: 70 tps vs 34 for Opus — users notice.
  • Shift mirrors Linux vs Unix; closed AI moats eroding fast.

🧠 What's your take on this?

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Aisha Patel
Written by

Aisha Patel

Former ML engineer turned writer. Covers computer vision and robotics with a practitioner perspective.

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Originally reported by LangChain Blog

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