Gemini 2.5 is our most intelligent AI model, capable of reasoning through its thoughts before responding, resulting in enhanced performance and improved accuracy.

2025年1月7日 · 一、Gemini 2.0有啥亮点？ 1. 多模态能力. Gemini 2.0最令人瞩目的就是它的多模态交互体验，具备处理和生成多种类型内容的能力，包括文本、图像、音频和视频。

2025年3月4日 · 目前大家可以在Gemini应用或通过Google AI Studio和Vertex AI的Gemini API体验Gemini 2.0 Flash。 有关定价详情如下图。 2.0 Pro Experimental模型：当前最佳的代码生成与复杂任务处理模型

2024年12月11日 · Google DeepMind introduces Gemini 2.0, a new AI model designed for the "agentic era." Gemini 2.0 is more capable than previous versions, with native image and audio output and tool use. Gemini 2.0 Flash is available to developers and trusted testers, with wider availability planned for early next year.

Gemini 2.0简介. Gemini 2.0 是 Google 最新推出的 多模态人工智能 大模型，支持处理文本、图像、音频和视频等数据类型。相比 1.0 在多模态方面实现突破，不仅支持图像、视频和音频输入输出，而且可调用谷歌搜索、代码及第三方函数。

3 天之前 · Gemini 2.0 Flash is our latest generally available model in the Gemini family. It's our workhorse model for all daily tasks and features enhanced performance and supports real-time Live...

2024年12月11日 · Today, we’re announcing Gemini 2.0 — our most capable AI model yet, designed for the agentic era. Gemini 2.0 has new capabilities, like multimodal output with native image generation and audio output, and native use of tools including Google Search and Maps.

2025年2月5日 · Gemini 2.0 Flash is now generally available, with higher rate limits, stronger performance, and simplified pricing. Gemini 2.0 Flash-Lite, a new variant that is our most cost-efficient model yet, is now available in public preview. Gemini 2.0 Pro, an experimental update to our best model yet for coding and complex prompts, is now available.

2025年2月5日 · Today, we’re making the updated Gemini 2.0 Flash generally available via the Gemini API in Google AI Studio and Vertex AI. Developers can now build production applications with 2.0 Flash. We’re also releasing an experimental version of Gemini 2.0 Pro, our best model yet for coding performance and complex prompts.

解锁 Gemini 2.0 智能互动新体验. Gemini 2.0 Flash 的原生用户界面操作能力，以及多模态推理、长文本理解、复杂指令跟随和规划能力、组合函数的调用，原生工具使用以及延迟优化等一系列优化改进，共同促进了全新的、更智能化的交互体验。