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This release marks a significant advancement in agentic voice capabilities, enabling models to perform complex reasoning and tool execution without interrupting conversational flow. By integrating asynchronous function calling and real-time visual grounding, these models address critical bottlenecks in deploying production-grade speech agents that can handle multi-step tasks autonomously. The availability of both cost-optimized and high-complexity variants offers a practical solution for streamlining traditional cascaded speech pipelines into unified architectures.
Surse care acoperăMarkTechPost, Fortune, Analytics Vidhya, Latent Space
Ce este aceastaLectura unui model asupra articolului și a acoperirii conexe, scrisă pentru aiqbench. Nu sunt cuvintele publicației.

Google Releases Gemini 3.8 Live and 3.8 Live Extended Thinking for Production Grade Voice Agents

MarkTechPost4 min de cititArticolul și perspectiva sunt în engleză.

Google has released Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, its most advanced live dialogue models to date. The models execute tools and API calls in the background while the conversation keeps flowing, process live visual inputs, and switch between 97 languages mid conversation. Extended Thinking ranks #1 on Artificial Analysis' Speech to Speech Quality Index with 82.6 and scores 97.7% on Big Bench Audio. Both are available today in the Gemini API and Google AI Studio at $0.005/min for audio input, with all generated audio carrying Google DeepMind's SynthID watermark. The post Google Releases Gemini 3.8 Live and 3.8 Live Extended Thinking for Production Grade Voice Agents appeared first on MarkTechPost.

Google has introduced Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, its most advanced live dialogue models to date. Both are native speech-to-speech models built for real-time voice agents. They extend the Gemini Audio family that Google expanded last month with Gemini 3.5 Transcribe. The release targets a specific gap: voice agents that can reason and execute tools without breaking conversational flow. Is it deployable?…

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