According to @demishassabis, Gemini 3.5 Flash outpaces 3.1 Pro on coding and agent tasks, hits 800 tokens per second, and costs less than half in many cases.

According to Jeff Dean, Gemini 3.5 Flash balances speed and capability for rapid AI inference and strong task performance.

According to GoogleDeepMind, Gemini 3.5 Flash coordinates subagents to design and build a city, showcasing scalable planning and tool use.

According to sundarpichai, Gemini 3.5 Flash shows strong evals as a workhorse model, signaling efficient multimodal performance for real-world apps.

According to @emollick, Gemini 3.5 Flash is very fast and capable, powering procedurally generated one-shot towns with self-corrected output errors.

According to @emollick, Gemini 3.5 Flash is very fast and capable, powering a procedural one-shot towns gallery and self-correcting an initial error.

According to @OriolVinyalsML, Gemini 3.5 Flash launches with frontier-level intelligence and faster speed, outperforming 3.1 Pro on most benchmarks.

According to JeffDean, Gemini 3.5 Flash beats 3.1 Pro on agentic and coding benchmarks and runs 4x faster than frontier models, enabling scalable sub-agents.

According to GoogleDeepMind, Gemini 3.5 Flash debuts as its strongest model for agents and coding, combining frontier intelligence with real‑world action.