robot vs Gemini:怎么选?

下面把两款工具的关键信息逐项放在一起对照。 两者同属「AI 聊天」分类,属于直接竞品。

A

robot

新增Cogvideox-Flash模型,支持通过文字描述生成短视频,创意瞬间变为视觉作品!同时,推出商汤日日新大模型和Cloudflare AI系列大模型,支持自定义或修改历史对话与知识库,多端信息同步。提供无限制的GPT-4-mini,免费使用的GPT-4/GPT-4o,以及SD生图模型优化、Google Gemini、Moonshot AI、Together.ai、OpenRouter、Groq等国外模型镜像。扩展插件支持MJ/SD AI生成图片,设置国内海外双线路,实现访问加速。

免费 🌍 国外 AI 聊天
B

Gemini

Google推出的AI原生多模态大模型

免费 🌍 国外 AI 聊天

📊 参数逐项对照

对比项 robot Gemini
价格模式 免费 免费
来源地区 🌍 国外 🌍 国外
所属分类 AI 聊天 AI 聊天
用户评分 暂无评分 暂无评分
热度(浏览量) 88 205
付费说明 — —
替代品 robot 的替代品 → Gemini 的替代品 →

📖 详细介绍

robot 是什么?

Robot是一款功能丰富的AI聊天工具,它通过集成Cogvideox-Flash模型,让用户只需输入文字描述就能快速生成短视频,将创意瞬间转化为视觉作品。其核心功能包括支持商汤日日新和Cloudflare AI系列大模型,允许自定义或修改历史对话与知识库,并实现多端信息同步;同时提供无限制的GPT-4-mini、免费使用的GPT-4/GPT-4o,以及SD生图模型优化、Google Gemini、Moonshot AI等国外模型镜像,扩展插件还能支持MJ/SD AI生成图片,并通过设置国内海外双线路实现访问加速。这款工具适合内容创作者、开发者和日常需要AI辅助的用户,可广泛应用于视频创意制作、智能对话管理、图像生成及跨平台协作等场景。

Gemini 是什么?

关于 Gemini

“Gemini 3.5 Flash beat Gemini 3 Flash by 19.6% on Box’s enterprise work evaluation set, which we designed to reflect the kinds of real-world, multi-step tasks our customers perform daily with the Box Agent. We’re already seeing stronger performance in workflows that matter to specific industries. Our Life Sciences customers can use Gemini 3.5 Flash to extract data and make calculations with 96.4% greater accuracy, helping them process scientific information more reliably. For Financial Services firms, where exact measurement drives trust, it can build financial reports from structured data with 46.7% greater accuracy.”

“By bringing Gemini 3 Pro to GitHub Copilot, we’re seeing promising gains in how quickly and confidently developers can move from idea to code. In our early testing in VS Code, Gemini 3 Pro demonstrated 35% higher accuracy in resolving software engineering challenges than Gemini 2.5 Pro. That's the kind of potential that translates to developers solving real-world problems with more speed and effectiveness.”

“Gemini's newest flash model advances the frontier for intelligence per dollar. It performs 42% better than Flash 3 on our long range, multi-turn cyber benchmark while achieving a 68% improvement in token efficiency. This makes it an excellent choice for defenders seeking to scale horizontally. We are excited to continue collaborating with the Gemini team to help give Armadin customers the edge.”

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