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Author @indexsy (2026-06-27) claims Meta spent “billions in R&D” on Llama but…

2026-06-27 · 16:47 UTC ·@indexsy ·0 min read

Brief

The post pairs a criticism of Meta’s Llama (accusing it of being inferior despite “billions” in R&D) with Z.ai’s GLM-5.2 announcement: open MIT‑licensed weights, a 1M context window, two reasoning-effort modes (max and high) aimed at coding and agentic tasks, and the same API pricing as GLM-5.1.

Why it matters

Author @indexsy (2026-06-27) claims Meta spent “billions in R&D” on Llama but that it performs worse than an open-source distillation and jokes Meta could have forked GLM.

Key details

  • Z.ai announced GLM-5.2 with MIT‑licensed open weights, a 1M-token context window, two reasoning modes (GLM-5.2 (max) and GLM-5.2 (high)), improved coding/agentic performance, and unchanged API pricing from GLM-5.1.
Source evidence

Never forget that Meta spent billions in R&D on Llama to be way worse than an open source distillation

They could’ve just forked GLM 😭

Z.ai (@Zai_org)

Introducing GLM-5.2: Frontier Intelligence, Open Weights

  • Significant improvements in coding and agentic tasks
  • Strong long-horizon capabilities with a 1M context window
  • Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency
  • MIT-licensed open weights
  • Same API pricing as GLM-5.1

Tech Blog: z.ai/blog/glm-5.2
Weights: huggingface.co/zai-org/GLM-5…
API: docs.z.ai/guides/llm/glm-5.2
Coding Plan: z.ai/subscribe
Chat: chat.z.ai

— https://nitter.net/Zai_org/status/2066938937344495629#m