Google launches Gemini 3 Flash to deliver speed boost and cost savings

Google launches Gemini 3 Flash to deliver speed boost and cost savings

New Delhi: Google has rolled out Gemini 3 Flash, a latest AI model for developers that the company claims delivers faster performance and lowers costs while retaining advanced reasoning and multimodal capabilities. The company is also making the frontier intelligence model accessible through the Gemini API through Google AI Studio, Gemini CLI, Android Studio, agentic development platform Google Antigravity, and for enterprise customers through Vertex AI.

Gemini 3 Flash is priced at $0.50 per million input tokens and $3 per million output tokens, with the additional cost reductions through context caching and batch processing. According to the company, Gemini 3 Flash builds on the capabilities of Gemini 3 Pro and outperforms Gemini 2.5 Pro across several benchmarks, while operating up to three times faster. It stated that the model supports multimodal reasoning, coding, agentic workflows, and visual understanding, including code execution for tasks such as counting, zooming, and editing visual inputs.

Google stated that the Flash series remains its most widely used model family, processing trillions of tokens across the hundreds of thousands of applications. With the Gemini 3 Flash, the company aims to support the large-scale production use of cases that require lower latency and higher rate limits. Early users have already integrated the model into the products spanning software development, gaming, document analysis, and deepfake detection. Google has also recently introduced CC, an experimental AI productivity agent developed by Google Laps, to help users manage daily tasks and organise their workday more efficiently.

Punit Panchal
Senior Editor

I’m a content writer specializing in tech, creating clear, engaging, and SEO-friendly content that simplifies complex topics. From emerging technologies to product insights, I focus on delivering value-driven content that connects with readers and ranks effectively.

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