Google launches Gemini 3.8 Live to take on OpenAI's GPT-Live-1 at a fraction of the cost
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Google launches Gemini 3.8 Live to take on OpenAI's GPT-Live-1 at a fraction of the cost

September 15, 20263 views2 min read

Google launches Gemini 3.8 Live, a cost-effective alternative to OpenAI's GPT-Live-1, offering competitive audio AI performance at a fraction of the price.

Google has unveiled its latest advancements in audio AI with the launch of Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, two new models designed for developers. These models are positioned to compete directly with OpenAI’s GPT-Live-1, which has been making waves for its natural-sounding, full-duplex conversation capabilities.

Cost-Effective Competition

One of the most notable features of Google’s new models is their significantly lower pricing. At just $1.38 per hour of voice conversation, Gemini 3.8 Live offers a stark contrast to OpenAI’s offering, which is considerably more expensive. This price point could make Google’s solution more accessible to a broader range of developers and enterprises, especially those working within tight budgets.

Performance on the Leaderboard

According to Google, the new models have topped the Artificial Analysis speech-to-speech leaderboard, highlighting their advanced capabilities in real-time audio processing and understanding. While OpenAI’s GPT-Live-1 is praised for its natural sound and full-duplex interaction, Gemini 3.8 Live aims to deliver a compelling alternative without the premium cost.

The release underscores Google’s growing commitment to audio-based AI tools, aligning with the broader industry trend toward more immersive, conversational interfaces. As companies continue to explore the potential of real-time voice interactions, Google’s new models could shift the competitive landscape, especially in sectors like customer service, virtual assistants, and interactive AI applications.

Conclusion

With Gemini 3.8 Live entering the market, Google is not only challenging OpenAI’s dominance in voice AI but also making the technology more accessible. As the race to deliver seamless, real-time audio experiences intensifies, developers will likely weigh the trade-offs between cost, performance, and naturalness when choosing their tools.

Source: The Decoder

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