OpenClaw 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

OpenClaw

开源的自托管AI智能体助手,曾用名Clawdbot、Moltbot

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 OpenClaw 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) 121 205
付费说明 — —
替代品 OpenClaw 的替代品 → Gemini 的替代品 →

📖 详细介绍

OpenClaw 是什么?

关于 OpenClaw

"Setup @openclaw by @steipete yesterday. All I have to say is, wow. First I was using my Claude Max sub and I used all of my limit quickly, so today I had my claw bot setup a proxy to route my CoPilot subscription as a API endpoint so now it runs on that. It's the fact that claw can just keep building upon itself just by talking to it in discord is crazy. The future is already here"

"Why @openclaw is nuts: your context and skills live on YOUR computer, not a walled garden. It's open source. Growing community building skills. Only 19 days old and constantly improving. 'Personal AI assistant' undersells it — it's a company assistant, family assistant, team tool. Proactive AF: cron jobs, reminders, background tasks. Memory is amazing, context persists 24/7."

"Yeah this was 1,000% worth it. Separate Claude subscription + Claw, managing Claude Code / Codex sessions I can kick off anywhere, autonomously running tests on my app and capturing errors through a sentry webhook then resolving them and opening PRs... The future is here."

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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