GLM-5 vs Grok 4.3

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.	Grok 4.3 xAI's flagship API model, billed as its most intelligent and fastest, with strong agentic tool calling.
Category	model	model
Vendor type	open source	commercial
Pricing	free	usage
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	+ Aggressive pricing ($1.25 input / $2.50 output per million tokens) for a 1M-context flagship + Vendor-reported leadership in agentic tool calling and instruction following + Companion multi-agent variant (grok-4.20-multi-agent) targeted at agentic workloads
Tradeoffs	− 744B total parameters still demand multi-GPU infrastructure to self-host − Smaller first-party API ecosystem than DeepSeek or Alibaba	− Stated knowledge cutoff of November 2024 is older than competing flagships − Rapid model churn; xAI retired eight legacy models (including grok-3) in May 2026, so pinned integrations need active migration
Used in stacks	0	0