[::] Agentic Stacks

Claude Opus 4.7 vs GLM-5

Pick two tools from the same category to compare side-by-side.

Claude Opus 4.7
Anthropic's deepest-reasoning model; planning, complex synthesis.
GLM-5
Zhipu AI's MIT-licensed 744B-parameter MoE model targeting complex systems engineering and agentic tasks.
Category modelmodel
Vendor type commercialopen source
Pricing usagefree
Strengths
  • + Deepest reasoning of the Claude family
  • + Best for ambiguous, planning-heavy tasks
  • + MIT-licensed open weights
  • + Designed specifically for agentic and tool-use workloads
  • + Sparse attention architecture reduces long-context serving cost
  • + 40B active parameters keep inference cost moderate for its class
Tradeoffs
  • − Highest cost tier — not viable as default model
  • − Higher latency than Sonnet / Haiku
  • − 744B total parameters still demand multi-GPU infrastructure to self-host
  • − Smaller first-party API ecosystem than DeepSeek or Alibaba
Used in stacks 6 0

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