Gemini 3.1 Flash Live improves upon 2.5 Flash Native Audio with enhanced acoustic recognition, background noise filtering, lower latency, and extended conversation context.
Gemini 3.1 Flash Live launched for global Search Live rollout with native multilingual support, improved reliability, and faster performance for real-time visual search queries.
Google has begun globally rolling out Search Live, enabling users in 200+ countries and territories to point their phone camera at objects and ask questions about what they see. The expansion is powered by Google's Gemini 3.1 Flash Live model, designed to be natively multilingual with faster, more reliable performance.
Google has released Gemini 3.1 Flash Live, its new voice and audio AI model, scoring 95.9% on the Big Bench Audio Benchmark at high thinking levels—second only to Step-Audio R1.1 Realtime at 97.0%. Response times range from 0.96 seconds at minimal thinking to 2.98 seconds at high thinking, with pricing held at $0.35 per hour of audio input and $1.40 per hour of audio output.
Google announced Gemini 3.1 Flash Live as its updated audio and voice model for Gemini Live and Search Live. The model claims improved acoustic recognition, better background noise filtering, support for over 90 languages, and lower latency compared to 2.5 Flash Native Audio.
Google has released Gemini 3.1 Flash Live, its highest-quality audio model designed for natural and reliable real-time voice interactions. The model scores 90.8% on ComplexFuncBench Audio and 36.1% on Scale AI's Audio MultiChallenge with thinking enabled. It's now available to developers via the Gemini Live API, enterprises through Gemini Enterprise for Customer Experience, and consumers in Search Live and Gemini Live across 200+ countries.
Google has released Gemini 3.1 Flash Live, its highest-quality audio and voice model designed for real-time dialogue. The model scores 90.8% on ComplexFuncBench Audio and 36.1% on Scale AI's Audio MultiChallenge with reasoning enabled, with improved tonal understanding and lower latency compared to previous versions.