This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding. The Gemini family consists of Ultra, Pro, and Nano sizes, suitable for applications ranging from complex reasoning tasks to on-device memory-constrained use-cases. Evaluation on a broad range of benchmarks shows that our most-capable Gemini Ultra model advances the state of the art in 30 of 32 of these benchmarks - notably being the first model to achieve human-expert performance on the well-studied exam benchmark MMLU, and improving the state of the art in every one of the 20 multimodal benchmarks we examined. We believe that the new capabilities of the Gemini family in cross-modal reasoning and language understanding will enable a wide variety of use cases. We discuss our approach toward post-training and deploying Gemini models responsibly to users through services including Gemini, Gemini Advanced, Google AI Studio, and Cloud Vertex AI.

翻译：本报告介绍了一系列新的多模态模型——Gemini，其在图像、音频、视频和文本理解方面展现出卓越能力。Gemini系列包含Ultra、Pro和Nano三种规格，可适用于从复杂推理任务到设备上内存受限场景的各种应用。在广泛的基准测试上的评估表明，我们性能最强的Gemini Ultra模型在32项基准测试中的30项中达到了最先进水平——值得注意的是，它是首个在备受研究的考试基准MMLU上达到人类专家级表现的模型，并且在我们考察的20项多模态基准测试中均提升了每项指标的最优水平。我们相信，Gemini系列在跨模态推理和语言理解方面的新能力将赋能多种应用场景。我们讨论了如何通过Gemini、Gemini Advanced、Google AI Studio和Cloud Vertex AI等服务，以负责任的方式对Gemini模型进行后训练并部署给用户。