Gemini 1.0 Ultra at a glance
Gemini was trained to be multimodal from the start. Google said Ultra scored 90.0% on MMLU, and Pro went into Bard and reached developers through the Gemini API on December 13.
What changed with Gemini 1.0 Ultra
Google and Google DeepMind introduced Gemini 1.0 on December 6, 2023, in three sizes: Ultra for highly complex tasks, Pro for a wide range of tasks, and Nano for on-device use. Google said Gemini was pre-trained on multiple modalities from the start instead of joining separately trained parts, and that Ultra scored 90.0% on MMLU.
A tuned Gemini Pro began powering Bard in English in more than 170 countries and territories, and the Pixel 8 Pro became the first phone to run Gemini Nano. Developers and enterprise customers got Gemini Pro through the Gemini API in Google AI Studio and Vertex AI starting December 13, while Ultra was held for select customers until the following year.
Where to compare Gemini 1.0 Ultra
Independent leaderboards and official resources for comparing this model yourself. Rankings change often; each site shows its own current data.
General leaderboards
Official resources
Why Gemini 1.0 Ultra matters for businesses
For businesses, Gemini meant Google was competing head-on at the frontier, with distribution through Bard, Android phones and Google Cloud. Teams already on Google Cloud gained a credible option without adding another vendor.
Sources for this story
- Introducing Gemini: our largest and most capable AI model (opens in a new tab)Official
Google · blog.google
- Gemini 1.0 Pro model page (opens in a new tab)Benchmark
Artificial Analysis · artificialanalysis.ai
Last verified: . IA Compa summarizes public announcements for business readers. We are not affiliated with the companies mentioned. Always confirm details, pricing, and availability with the official source.
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