For Developers/Models/Gemini 3.8 Live
Closed SourceGoogle DeepMindReleased 2026-09

Gemini 3.8 Live

Most advanced live dialogue model for natural, real-time voice conversations

Context window

128K

Input / 1M tokens

$3.00

Output / 1M tokens

$12.00

Provider

Google DeepMind

Data verified 2026-09-25

Gemini 3.8 Live is a natively multimodal audio model built for cost-efficient, high-volume voice interactions. It processes visual inputs in near real time, automatically detects and transitions between 97 supported languages mid-conversation, and executes tool calls in the background without interrupting dialogue. Based on Gemini 3 Pro, it delivers fluid conversational intelligence with visual grounding.

Capability index

Relative estimates (0-100) to place this model against its peers, grounded in published benchmarks.

Coding
0
Reasoning
30
Math
20
Multimodal
80
Long context
60
Speed
90
Cost efficiency
80

How to access it

Available via Gemini API, Google AI Studio, Search Live, Gemini Live, and Gemini Enterprise. Voice-native model for real-time conversational AI.

Strengths

  • ✓Near real-time audio processing with low latency
  • ✓Supports 97 languages with automatic mid-conversation detection
  • ✓Visual input processing in real time
  • ✓Background tool execution without dialogue interruption
  • ✓Cost-efficient for high-volume voice applications

Best for developers who...

Production voice agentsReal-time conversational AICustomer service automationMulti-language voice applications

When to choose it (and when not to)

Reach for Gemini 3.8 Live when...

  • →When building cost-efficient voice agents
  • →For real-time latency-sensitive applications
  • →When visual grounding is needed during conversation

Look elsewhere if...

  • ✕High-complexity reasoning tasks (use 3.8 Live Extended Thinking instead)
  • ✕Tasks requiring deep multi-step reasoning

How to use it

  • ›Speak naturally; the model is optimized for fluid conversation
  • ›Use background tool execution to keep dialogue uninterrupted
  • ›Use visual context for enhanced contextual understanding

Quickstart

Python
from google import genai
client = genai.Client()
response = client.models.generate_content(
    model='gemini-3.8-live',
    contents='Hello, how can I help you today?'
)

Requires Google API credentials and Gemini API access

API model id: gemini-3.8-live

Benchmarks

BenchmarkScoreNotes
Speech to Speech Quality Index (Artificial Analysis)80.1%Ranks among top voice quality models
Big Bench Audio97.7%Strong audio processing performance

Source: Artificial Analysis

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