Gemini 3.5 Flash vs Kimi K2.6

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.	Kimi K2.6 Moonshot AI's flagship 1T-parameter open-weight MoE model with native multimodal input and interleaved-thinking tool use.
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)	+ Interleaved thinking with multi-step tool calling for agent workflows + 256K-token context window + Multimodal (image and video) input via built-in vision encoder + OpenAI/Anthropic-compatible first-party API eases drop-in adoption
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	− Modified MIT license (not plain MIT/Apache) requires review for some uses − Video chat is experimental and only available through the official API − 1T-parameter scale limits self-hosting to large deployments
Used in stacks	0	0