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Gemini 3.8 Live and 3.8 Live Extended Thinking

Original article
blog.google|475 points|314 comments|by leumon|Sep 15, 2026

Unveiling Gemini 3.8 Live & 3.8 Live Extended Thinking

Published: September 15, 2026
Authors: Tom Ouyang (Principal Engineer) and Malini Jaganathan (Member of Technical Staff), representing the Gemini Audio Team.

Google has officially introduced Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, marking a significant leap in the evolution of live dialogue models. These updates focus on enhancing parallel reasoning and intelligence, making voice-based collaboration more intuitive and capable of executing intricate tasks.

Header Image


🎙️ A New Era of Voice Interaction

The goal of these models is to transform AI from a tool into a true conversation partner. By integrating near real-time reasoning, Google is making voice agents feel more natural and fluid.

Old AI felt robotic and linear →\rightarrow→ New AI feels intuitive and collaborative.

Key Capabilities:

  • Fluidity: Handles interruptions and switches languages seamlessly.
  • Transparency: The AI can articulate its internal thought process while working.
  • Multitasking: Executes background tasks and manages tools without breaking the conversational flow.
  • Contextual Awareness: Integrates real-time visual grounding and language support.

🛠️ Model Comparison: Which one to use?

Depending on the use case—whether it's a lightweight consumer app or a heavy-duty enterprise solution—Google offers two distinct paths:

FeatureGemini 3.8 LiveGemini 3.8 Live Extended Thinking
Primary FocusScale & Cost-EfficiencyHigh-Complexity Tasks
Core StrengthFluid dialogue & Visual groundingMulti-step reasoning & Intelligence
Ideal Use CaseFast, responsive voice interactionsEnterprise-grade task completion
PerformanceOptimized for speed/costOptimized for depth/accuracy

📈 Technical Benchmarks & Performance

The Gemini 3.8 Live Extended Thinking model has set new industry standards for speech-to-speech quality and agentic capabilities.

Quantitative Results:

  • Speech to Speech Quality Index: Ranked #1 overall with a score of 82.6\text{82.6}82.6.
  • τ\tauτ-Voice (Agentic Task Completion): Achieved 68.6%\text{68.6\%}68.6%.
  • Sierra’s τ\tauτ-Voice-banking Benchmark: Achieved 35.1%\text{35.1\%}35.1%.

Performance Visuals:

Speech to Speech Index Agentic Performance Sierra Banking Benchmark Cost per Hour EVA Bench


⚙️ How it Works: The Reasoning Flow

The "Extended Thinking" process allows the model to process complex requests in the background while maintaining a front-facing conversation.

For developers, implementing these models via the API might look like this conceptually:

{
  "model": "gemini-3.8-live-extended-thinking",
  "input": "voice_stream",
  "capabilities": ["visual_grounding", "parallel_reasoning"],
  "output_mode": "real_time_audio"
}

🚀 Availability & Deployment

These models are designed to be production-ready for both individual users and large-scale enterprises.

  • Gemini App (Consumer access)
  • Google Workspace (Productivity integration)
  • Google Search (Enhanced voice queries)
  • Gemini API (Developer and Enterprise access)

💬 Industry Feedback

Leading organizations are already integrating these capabilities into their workflows:

Salesforce
Salesforce Quote

11Sight
11Sight Quote

Equal AI
Equal AI Quote

ServiceNow
ServiceNow Quote