Gemini 3.5 Flash vs OpenAI text-embedding-3-large

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.	OpenAI text-embedding-3-large OpenAI's most capable embedding model for English and non-English retrieval, served via usage-priced API.
Category	model	model
Vendor type	commercial	commercial
Pricing	usage	usage
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)	+ Strong general-purpose retrieval quality across English and non-English text + Ubiquitous ecosystem support in vector databases and RAG frameworks + Simple usage-based pricing with a cheaper small variant for cost-sensitive paths
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	− API-only (no open weights or on-prem option) − General-purpose model with no domain-specialized variants, unlike some competitors
Used in stacks	0	0