Google has introduced a new AI model dubbed Gemini 3.1 Flash Live.
It aims to help developers build real-time voice and vision agents that can not only process the world around them, but also respond at the speed of conversation.
Gemini 3.1 Flash Live is available through the Gemini API and Google AI Studio.
Google has introduced a new AI model dubbed Gemini 3.1 Flash Live. According to the tech giant, the new model is built to help developers create AI agents that can see, hear, and respond to the world around them almost instantly. ‘This is a step change in latency, reliability and more natural-sounding dialogue, delivering the quality needed for the next generation of voice-first AI,’ Google said. The Gemini 3.1 Flash Live AI model is also said to better understand tone, emphasis and intent, enabling agents with key improvements.
Google Gemini 3.1 Flash Live: Features and availability
Gemini 3.1 Flash Live is designed to help developers build ‘real-time voice and vision agents that can not only process the world around them, but also respond at the speed of conversation,’ the tech giant said.
One of the key improvements is better performance in noisy environments. The model can more accurately distinguish between a user’s voice and background sounds such as traffic, television, or other environmental noise. This allows AI agents to be responsive and work even in real-world settings where there are distractions.
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Google has also improved the instruction-following abilities. Gemini 3.1 Flash Live is better at following the instructions given by developers. Another key improvement is more natural and low-latency dialogue. As the tech giant explained, the new model ‘improves on latency and is even more effective at recognising acoustic nuances like pitch and pace compared to 2.5 Flash Native Audio, making real-time conversations feel a lot more fluid and natural.’
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Furthermore, Gemini 3.1 Flash Live supports more than 90 languages for real-time multi-modal conversations.
Gemini 3.1 Flash Live is available starting today through the Gemini API and Google AI Studio. Developers can use the Gemini Live API to integrate the new model into their applications.
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