Yesterday, we released new Gemini Live models in the Gemini API and Google AI Studio, expanding our developer suite for building real-time, voice-first product experiences:
Gemini 3.8 Live and 3.8 Live Extended Thinking: Gemini 3.8 Live brings a step change to our native speech-to-speech models, capable of performing tasks while maintaining dialogue. For complex requests, 3.8 Live Extended Thinking delivers deeper reasoning, ranking #1 on Artificial Analysis’ Speech-to-Speech leaderboard.
Gemini 3.5 Transcribe: Our dedicated speech-to-text model brings highly precise transcription across 85+ languages. Released last month, it achieved an average Word Error Rate (WER) of 4.0% (streaming) and 2.6% (non-streaming).
Our new models, Gemini 3.8 Live and 3.8 Live Extended Thinking enable developers to build voice agents that can reason and execute tasks while maintaining the flow of conversations. Key capabilities include:
3.8 Live Extended Thinking also supports configurable thinking to help handle complex, multi-step reasoning in the background, while responding or narrating its progress in the main conversation. These models represent a step-change from our previous live models and provide a more streamlined alternative to cascaded architectures.
Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking are available via the Live API. Competitively priced at $0.005/min for audio input and $0.018/min* for audio output, they allow developers to scale voice applications with industry-leading performance.
Developers can also access the models through Agora, Fishjam, LangChain, LiveKit, Pipecat, Vercel, and Vision Agents, our Live API integration partners that handle media streaming infrastructure for real-world deployment.
Real-time speech understanding is critical for voice-first interfaces. Last month, we released Gemini 3.5 Transcribe for low-latency transcription with high precision, achieving a 4.0% WER, and useful features:
custom_vocabulary list of up to 1,000 terms
3.5 Transcribe supports 85+ languages and provides a strong listening engine for voice experiences and stateless tasks like sub-second captioning, call center agents, and real-time audio analytics. You can also access the model via the Interactions API to transcribe audio files up to 1 hour long with structured timestamps and speaker labeling. Read our developer guide to learn more.
To get started, try out the models in ai.studio/live, clone example apps from GitHub, or equip your agent with our live api skill.
You can also create audio experiences with our speech and music generation models, all available in the Gemini API:
The mic is yours, and we can’t wait to hear what you build!