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Multimodal · Reasoning

Gemini 1.0

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Gemini 1.0
Paper summary

Google launches Gemini 1.0, a multimodal family natively designed to reason across text, images, video, audio, and code from the ground up.

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Key points
01

Three tiers: Ships as Ultra (frontier), Pro (balanced), and Nano (on-device), covering everything from data-center reasoning to mobile inference.

02

Native multimodality: Unlike "bolted-on" multimodal models, Gemini is trained multimodally from scratch, with joint tokenization across text, image, video, audio, and code.

03

MMLU milestone: Gemini Ultra reports the first MMLU score above human-expert performance (90.0%), using chain-of-thought with uncertainty-weighted majority voting.

04

Broad capability claims: Ultra sets SOTA on 30 of 32 benchmarks in the report, spanning multimodality, multilinguality, factuality, summarization, math/science, long-context, and reasoning.

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