Google has unveiled Gemini Business and Enterprise subscription plans for Google Workspace users.

Gemini Business and Enterprise grant customers access to Google’s most advanced AI models, namely Gemini Ultra, which is the most capable of Gemini’s three iterations. Gemini will be natively embedded into the Workspace experience.

Gemini for Workspace introduces a new standalone feature enabling users to engage in secure chats with Gemini, fortified with enterprise-level data protection measures.

Google’s announcement blog wrote:

With offerings for consumers, teams and organizations of all sizes, Gemini for Workspace can help you with tasks like organizing a birthday party, drafting a marketing campaign or writing a business plan for a new venture.”

More Details on Gemini Business and Enterprise Plans

Gemini Business is an affordable entry point for organisations seeking to leverage Gemini’s advanced capabilities within Workspace, regardless of their size.

Priced at $20 per user per month with an annual commitment, this plan grants access to Gemini for Workspace. Users can utilise features such as “Help me write” in Docs and Gmail, Enhanced Smart Fill in Sheets, and image generation in Slides, empowering them to streamline their workflows effectively.

A partial rebranding of Duet AI for Google Workspace, Gemini Enterprise, priced at $30 per user per month with an annual commitment, delivers all the functionalities of Gemini Business with expanded usage allowances. Moreover, it incorporates advanced features for AI-driven meetings, enabling Gemini to translate closed captions across over 100 language pairs and, soon, facilitate meeting note-taking.

Effective immediately, existing Duet AI for Workspace subscribers will seamlessly transition to Gemini Enterprise, benefitting from its enhanced capabilities.

What About Gemini Ultra Access?

Google has unveiled plans to introduce a new standalone chat experience tailored for enterprise-grade functionality with Gemini. Powered by 1.0 Ultra, this enhanced chat feature will be accessible to Gemini Business and Gemini Enterprise customers via gemini.google.com.

Utilising 1.0 Ultra, Google’s most extensive and proficient model currently accessible, users can expect to receive informed and insightful responses, coupled with the capability to verify answers. For instance, a freelance marketing consultant could leverage Gemini to gain insights into business trends, competitive analysis, and forecasting, facilitating the creation of a robust go-to-market strategy for their client.

Additionally, this experience prioritises enterprise-grade data protections, meaning conversations with Gemini remain entirely confidential. User interactions are not utilised for advertising, bolstering Google’s generative machine-learning technologies, being reviewed by human personnel, or being shared with other users or organisations.

The Gemini Story So Far

Bard was first revealed in March 2023 and was initially seen as a soft challenger to the unstoppable momentum that was OpenAI’s ChatGPT. Gemini, backed by Google’s claims that it surpassed OpenAI’s GPT-4 model in its processing capabilities, was intended to turbocharge Bard as a far more serious competitor in the long term.

Gemini, which was first announced at Google I/O in June, became generally available for the public in December, with the plan to be integrated across virtually every Google product — which is now being reflected by February’s series of updates.

Earlier this month, Google announced that both Duet AI for Google Workspace and its consumer-centric generative AI assistant Bard were going to be rebranded as Google Gemini — the name of its underlying large language model (LLM) and primary GPT-4 competitor.

Google’s generative AI search app before its rebranding, Bard Pro, was powered by Gemini. Google launched Gemini in December, and Bard Pro leveraged a specifically tuned version of Gemini’s mid-tier service, Gemini Pro, in English for advanced reasoning, planning, and understanding.

There is also a dedicated Gemini Android app on the way, while Google Messages are also set to be integrated with Gemini.

Google has been underlining Gemini’s “multimodal” qualities, meaning it can process and leverage different versions of data — not only text, which the average gen AI user will be most familiar with using to date but also images, code, audio and video.

Google also optimized Gemini in three sizes — the aforementioned Ultra as well as Pro and Nano, which the tech giant highlighted would allow flexibility across use cases. This means it is “able to efficiently run on everything from data centres to mobile devices”.

Ultra is Google’s largest and most capable model for highly complex tasks, making it a good fit for businesses, Pro is its most relevant model for scaling across a wide range of tasks, and Nano is the model best for on-device tasks.

Google also claimed that its Ultra Gemini version surpasses “current state-of-the-art results on 30 of the 32 widely-used academic benchmarks” used in LLM research and development.

Google went further, saying that Gemini Ultra is the first LLM to outperform human experts on massive multitask language understanding (MMLU). This framework comprises a combination of 57 subjects, such as maths, physics, history, law, medicine and ethics for benchmarking knowledge and problem-solving capabilities.



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