Google's AI Chatbot Gemini Faces Delay in Launch Due to Failure in Non-English Queries

Google’s highly anticipated LLM Gemini has faced a delay in its launch due to its failure to handle certain non-English queries effectively.

Punam Singh
New Update

Google’s highly anticipated large language model (LLM) Gemini has faced a delay in its launch due to its failure to handle certain non-English queries effectively. The decision to postpone the launch was recently made official by Sundar Pichai, CEO of Google with the cancellation of a series of planned events in California, New York, and Washington that were originally set up for this week.


Gemini was an AI Chabot developed by Google as a response to OpenAI’s ChatGPT, and it was expected to be a breakthrough in AI language models. However, in recent reports, it is suggested that the AI chatbot failed to deliver satisfactory responses to specific queries particularly those in other languages than English.

According to some insiders familiar with the matter, Gemini’s launch has been discreetly rescheduled to January as reported by India Today. The delayed launch has come as a setback for Google, as the events were intended to be the company’s most significant product launch of the year.

The decision to delay Gemini’s launch was driven by concerns about the AI’s reliability in handling non-English queries. And, such kind of cautious approach reflects that Google is taking all measures to ensure a flawless launch of Gemini to the public.


Gemini was first introduced at Google’s I/O event in May and generated considerable excitement within the tech community. Initially, it was believed to be more powerful and advanced than ChatGPT. Gemini combines the strengths of AlphaGo-type systems with advanced language capabilities, according to Demis Hassabis, CEO of DeepMind. He envisioned Gemini playing a significant role in Google’s response to the competitive landscape posed by gen AI technologies like ChatGPT.

Google has already highlighted Gemini’s multimodal capabilities and efficiency in tool and API integrations. The AI model is designed to facilitate future innovations including memory and planning. Although the AI chatbot is still in its training phase, it aims to offer various sizes and capabilities, ensuring its deployment across different products, applications, and devices once tested for safety.

While the delay is a setback for the company, it also depicts its commitment to delivering a reliable AI chatbot. As the industry continues to build anticipation, the official launch of Gemini is eagerly awaited for.