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Description
Google has unveiled enhanced Gemini audio models that greatly broaden the platform's functionalities for engaging and nuanced voice interactions, as well as real-time conversational AI, highlighted by the arrival of Gemini 2.5 Flash Native Audio and advancements in text-to-speech technology. The revamped native audio model supports live voice agents capable of managing intricate workflows, reliably adhering to detailed user directives, and facilitating smoother multi-turn dialogues by improving context retention from earlier exchanges. This upgrade is now accessible through Google AI Studio, Vertex AI, Gemini Live, and Search Live, allowing developers and products to create dynamic voice experiences such as smart assistants and corporate voice agents. Additionally, Google has refined the core Text-to-Speech (TTS) models within the Gemini 2.5 lineup to enhance expressiveness, tone modulation, pacing adjustments, and multilingual capabilities, resulting in synthesized speech that sounds increasingly natural. Furthermore, these innovations position Google's audio technology as a leader in the realm of conversational AI, driving forward the potential for more intuitive human-computer interactions.
Description
The Gemini Embedding's inaugural text model, known as gemini-embedding-001, is now officially available through the Gemini API and Vertex AI, having maintained its leading position on the Massive Text Embedding Benchmark Multilingual leaderboard since its experimental introduction in March, attributed to its outstanding capabilities in retrieval, classification, and various embedding tasks, surpassing both traditional Google models and those from external companies. This highly adaptable model accommodates more than 100 languages and has a maximum input capacity of 2,048 tokens, utilizing the innovative Matryoshka Representation Learning (MRL) method, which allows developers to select output dimensions of 3072, 1536, or 768 to ensure the best balance of quality, performance, and storage efficiency. Developers are able to utilize it via the familiar embed_content endpoint in the Gemini API, and although the older experimental versions will be phased out by 2025, transitioning to the new model does not necessitate re-embedding of previously stored content. This seamless migration process is designed to enhance user experience without disrupting existing workflows.
API Access
Has API
API Access
Has API
Integrations
Gemini
Google AI Studio
Vertex AI
Gemini Enterprise
Google Translate
Python
Vertex AI Search
Integrations
Gemini
Google AI Studio
Vertex AI
Gemini Enterprise
Google Translate
Python
Vertex AI Search
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.15 per 1M input tokens
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Founded
1998
Country
United States
Website
blog.google/products/gemini/gemini-audio-model-updates/
Vendor Details
Company Name
Founded
1998
Country
United States
Website
developers.googleblog.com/en/gemini-embedding-available-gemini-api/