[::] Agentic Stacks

GLM-5 vs GPT-5.4

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

GLM-5
Zhipu AI's MIT-licensed 744B-parameter MoE model targeting complex systems engineering and agentic tasks.
GPT-5.4
OpenAI's more affordable frontier model for coding and professional work, sitting below GPT-5.5.
Category modelmodel
Vendor type open sourcecommercial
Pricing freeusage
Strengths
  • + 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
  • + Half the per-token price of GPT-5.5 while staying in the frontier coding/professional tier
  • + 1M-token context window with up to 128K output tokens
  • + mini variant targeted at subagent and computer-use workloads for high-volume agent fleets
Tradeoffs
  • − 744B total parameters still demand multi-GPU infrastructure to self-host
  • − Smaller first-party API ecosystem than DeepSeek or Alibaba
  • − OpenAI directs complex reasoning and coding to GPT-5.5 instead
  • − Older knowledge cutoff (Aug 31, 2025) than GPT-5.5
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