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features
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support

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Description

Gemini 2.0 Flash-Lite represents the newest AI model from Google DeepMind, engineered to deliver an affordable alternative while maintaining high performance standards. As the most budget-friendly option within the Gemini 2.0 range, Flash-Lite is specifically designed for developers and enterprises in search of efficient AI functions without breaking the bank. This model accommodates multimodal inputs and boasts an impressive context window of one million tokens, which enhances its versatility for numerous applications. Currently, Flash-Lite is accessible in public preview, inviting users to investigate its capabilities for elevating their AI-focused initiatives. This initiative not only showcases innovative technology but also encourages feedback to refine its features further.

Description

Gemini 3.8 Flash-Lite TTS is an expressive text-to-speech model from Google optimized for high-volume, cost-efficient speech generation. It is designed for workloads such as global dubbing, large-scale audio content production, localization, and conversational voice agents. Users can control characteristics such as tone, pacing, emphasis, and expressive nuance to shape how generated speech is delivered. Line-by-line direction allows scripts to include performance instructions and natural speech cues rather than producing uniformly spoken narration. The model supports long-form generation and is designed to preserve voice quality, natural pacing, and character consistency across extended audio. Native two-speaker staging allows developers and creators to generate multi-turn conversations while keeping speakers distinct and maintaining natural turn-taking. Scripted cues can introduce laughs, sighs, gasps, and listening responses such as “mhm” or “yeah” to make dialogue more conversational. Gemini 3.8 Flash-Lite TTS supports more than 100 languages and is designed for multilingual audio experiences at global scale, while generated Gemini Audio output includes SynthID watermarking for transparency. Developers can access the model through Google AI Studio and the Gemini API, with integration into Google Vids and planned API availability through Gemini Enterprise.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Gemini Yes 
Gemini Enterprise Yes 
Gemini Enterprise Agent Platform Yes 
Google AI Studio Yes 
C# Yes 
C++ Yes 
Clojure Yes 
Gemini 3.1 Pro No 
Gemini Notebook No 
Google Vids No 
HTML Yes 
Java Yes 
JavaScript Yes 
Python Yes 
R Yes 
Ruby Yes 
SQL Yes 
Scala Yes 
TypeScript Yes 
distil labs Yes 

Integrations

Gemini Yes 
Gemini Enterprise Yes 
Gemini Enterprise Agent Platform Yes 
Google AI Studio Yes 
C# No 
C++ No 
Clojure No 
Gemini 3.1 Pro Yes 
Gemini Notebook Yes 
Google Vids Yes 
HTML No 
Java No 
JavaScript No 
Python No 
R No 
Ruby No 
SQL No 
Scala No 
TypeScript No 
distil labs No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

deepmind.google/technologies/gemini/flash-lite/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

google.com

Product Features

Text to Speech

API No 
Adjust Speaking Rate / Pitch No 
Audio Optimization No 
Custom Lexicons No 
Different Voice Choices No 
Multi-Language Support No 
Synchronize Speech No 

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