Gemini 3.5 Flash vs Llama 4 Maverick

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.	Llama 4 Maverick Meta's open-weights frontier model; self-hostable on any infra.
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)	+ Open weights — fully self-hostable + No per-token API costs once deployed + Active research community
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	− Inference infra is the team's problem − Tool-use reliability slightly trails frontier closed models
Used in stacks	0	0