Gemini 3.5 Flash has landed.

· Source: Google DeepMind · Field: Technology & Digital — Artificial Intelligence & Machine Learning · Depth: Advanced, quick

Summary

Google has introduced Gemini 3.5 Flash, a new model designed to combine frontier intelligence with actionable capabilities. This release marks the first in a series of such models. Benchmarking against Gemini 3.1 Pro Flash, the 3.5 Flash demonstrates significant improvements across nearly all metrics, notably showing substantial progress in coding tasks and an extraordinary jump in GDP Val, a benchmark for economically valuable real-world tasks. A key feature is its enhanced speed; Gemini 3.5 Flash is four times faster in output tokens per second compared to other frontier models, positioning it in a unique quadrant for intelligence versus output speed. The model is now available for immediate use across Google's products and APIs.

Key takeaway

For AI Engineers and developers prioritizing both advanced capabilities and rapid response, Gemini 3.5 Flash presents a compelling option. Its fourfold speed increase over other frontier models, coupled with significant benchmark improvements in coding and real-world tasks, means you can achieve higher throughput and more efficient application performance. Consider integrating Gemini 3.5 Flash into your projects requiring quick iteration or large-scale processing to capitalize on its enhanced speed and intelligence.

Key insights

Gemini 3.5 Flash offers frontier intelligence with four times faster output speed and improved benchmark performance.

In practice

Topics

Best for: CTO, VP of Engineering/Data, AI Architect, AI Engineer, Machine Learning Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Google DeepMind.