Gemini 3.5 Flash vs GLM-5

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

	Gemini 3.5 Flash Google's stable frontier model for sustained agentic and coding work, the current GA workhorse of the Gemini 3 family.	GLM-5 Zhipu AI's MIT-licensed 744B-parameter MoE model targeting complex systems engineering and agentic tasks.
Category	model	model
Vendor type	commercial	open source
Pricing	usage	free
Strengths	+ Only stable GA model in the Gemini 3.x family as of June 2026; positioned for agentic execution and sub-agent deployment + 1M-token context window with thought preservation across multi-turn agent loops + Rich built-in tool ecosystem (search/maps grounding, code execution, file search, function calling)	+ 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	− Per Google docs: Computer Use is not supported at this moment (it was available in the Gemini 3 Flash Preview) − Output capped at 65k tokens, lower than competing flagships' 128k	− 744B total parameters still demand multi-GPU infrastructure to self-host − Smaller first-party API ecosystem than DeepSeek or Alibaba
Used in stacks	0	0