Google DeepMind
Google DeepMind
Speech model · United States ·Jun 2026

Gemini 3.5 Live Translate

Speech Proprietary
128K
Context

About Gemini 3.5 Live Translate

Gemini 3.5 Live Translate is an AI model developed by Google DeepMind, in the speech category, released in 2026, made available as a proprietary (API-only) model. A real-time speech-to-speech translation model built on Gemini 3 Pro that detects 70+ languages and generates translated.

On this page you'll find Gemini 3.5 Live Translate's full specifications, including a context window of 128K tokens. Review provider pricing and benchmark scores below, or compare Gemini 3.5 Live Translate head-to-head with other speech models.

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Frequently asked questions

What is Gemini 3.5 Live Translate?

A real-time speech-to-speech translation model built on Gemini 3 Pro that detects 70+ languages and generates translated It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Gemini 3.5 Live Translate?

Gemini 3.5 Live Translate was developed by Google DeepMind and released in 2026.

Is Gemini 3.5 Live Translate open source or proprietary?

Gemini 3.5 Live Translate is a proprietary model. It is accessed through an API rather than by downloading the weights.

What is Gemini 3.5 Live Translate's context window?

Gemini 3.5 Live Translate supports a context window of 128K tokens.

How much does Gemini 3.5 Live Translate cost?

Pricing for Gemini 3.5 Live Translate depends on the provider. See the providers table on this page for the latest API rates.

How does Gemini 3.5 Live Translate perform on benchmarks?

Benchmark scores for Gemini 3.5 Live Translate are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

Introducing Gemini 3.5 Live Translate
Speech translation in Google Meet with Gemini 3.5 Live Translate
[ES] Gemini 3.5 Live Translate: el Traductor de Voz que Parece Real
[IT] Il NUOVO Gemini 3.5 Live Translate e Gratis: Traduzione Simultanea

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