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Google’s newest Gemini AI model focuses on efficiency
Google is releasing a new AI model designed to deliver strong performance with a focus on efficiency. The model, Gemini 2.5 Flash, will soon be available in Vertex AI, Google’s AI development platform.
The company claims that the model offers “dynamic and controllable” computing, allowing developers to adjust processing time based on the complexity of queries. This flexibility is key to optimizing Flash performance in high-volume, cost-sensitive applications, according to a blog post provided to TechCrunch.
Gemini 2.5 Flash arrives as the cost of flagship AI models continues trending upward. Lower-priced, performant models like 2.5 Flash present an attractive alternative to costly top-of-the-line options at the cost of some accuracy.
The new model is a “reasoning” type, similar to OpenAI’s o3-mini and DeepSeek’s R1. This means it takes slightly longer to answer questions in order to fact-check itself. Google emphasizes that 2.5 Flash is ideal for high-volume and real-time applications like customer service and document parsing.
The company states that the model is optimized specifically for low latency and reduced cost, making it the “ideal engine” for responsive virtual assistants and real-time summarization tools where efficiency at scale is key.
It’s worth noting that Google did not publish a safety or technical report for Gemini 2.5 Flash, making it difficult to see exactly how well the model performs in various situations. The company previously stated that it does not release reports for models it considers experimental.
In related news, Google announced plans to bring its Gemini models, including 2.5 Flash, to on-premises environments starting in Q3. This will allow customers with strict data governance requirements to use the technology without worrying about sending sensitive information over the cloud.
Source: https://techcrunch.com/2025/04/09/googles-newest-gemini-ai-model-focuses-on-efficiency/
