[KongchangAI]
ModelGemini 3.8 Live

Gemini 3.8 Live

A real-time conversational AI model released by Google, targeting large-scale and cost-efficient deployment scenarios. It integrates conversational intelligence, voice interaction, and visual understanding capabilities, supports automatic switching across 97 languages, and can execute tool calls in the background while maintaining conversational continuity.

Core Facts

Timeline (last 90 days)

Sep 30

Currently, publicly available information about Gemini 3.8 Live comes only from a single official teaser tweet, lacking technical details, performance benchmarks, context length, supported platforms, and pricing information.

Expired50%
Sep 30

Google officially announced a teaser for Gemini 3.8 Live in the form of a long tweet thread (🧵).

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Sep 24

Google released Gemini 3.8 Live with a Live Avatar feature, introducing near-real-time visual rendering capabilities.

Unverified70%
Sep 16

Google adopts a per-minute pricing model for these two models rather than per-token pricing.

Unverified50%
Sep 16

Both models support background tool execution, allowing external tools to be called while a conversation is in progress without interrupting the audio stream.

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Sep 16

Gemini 3.8 Live's Speech-to-Speech Index score is 76.0, with a first audio output latency of only 1.18 seconds.

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Sep 16

Scenarios prioritizing real-time performance (customer service, voice assistants, real-time translation) should favor Gemini 3.8 Live, while scenarios prioritizing accuracy (complex consulting, educational tutoring, multi-step tasks) should choose the Extended Thinking version.

Unverified50%
Sep 16

Developers can access these two models through the Live API.

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Sep 16

Gemini 3.8 Live's input audio cost is $0.84 per hour

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Sep 16

In the Arkham Banking benchmark, Gemini 3.8 Live with Extended Thinking mode enabled scored 35.1%, ranking first

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12 more timeline events

All Facts (13)

Verified

The Extended Thinking version of Gemini 3.8 Live incorporates a more thorough thinking process before voice responses, making it suitable for complex reasoning scenarios, while the standard version places greater emphasis on response speed.

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Verified

Google launched two real-time conversational models, Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking.

90%
Unverified

Developers can access these two models through the Live API.

50%
Unverified

Both models support background tool execution, allowing external tools to be called while a conversation is in progress without interrupting the audio stream.

50%
Unverified

Google adopts a per-minute pricing model for these two models rather than per-token pricing.

50%
Unverified

Scenarios prioritizing real-time performance (customer service, voice assistants, real-time translation) should favor Gemini 3.8 Live, while scenarios prioritizing accuracy (complex consulting, educational tutoring, multi-step tasks) should choose the Extended Thinking version.

50%
Unverified

Gemini Live's WebSocket endpoint uses the BidiGenerateContent (bidirectional content generation) method, establishing a persistent bidirectional audio stream between the client and the model.

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Unverified

The browser-based demo interface supports selecting models, switching voice presets, filling in system prompts, initiating voice conversations, and interrupting the model while it is speaking.

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Unverified

Google officially provides a Gemini Live WebSocket tutorial as a starting reference for developer integration.

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Unverified

The model can execute tool calls and API requests in the background while keeping the conversation going, using an acknowledge-and-continue non-blocking confirmation mechanism.

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Unverified

Gemini 3.8 Live targets scale and cost-efficiency scenarios, combining conversational intelligence, voice interaction, and visual understanding.

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Unverified

Google released Gemini 3.8 Live with a Live Avatar feature, introducing near-real-time visual rendering capabilities.

70%
Unverified

Simon Willison conducted a quick hands-on test of Gemini 3.8 Live and built a web interface for trying it out in the browser.

50%

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