免费ChatGPT-4、Claude 3.5 Sonne 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

免费ChatGPT-4、Claude 3.5 Sonne

免费gpt-4和claude3,无要注册登录,无付费渠道,可画图识文件,基础模型150次/天,部分模型50次/天(gpt-4-all),可用模型包括:openai系列,claude系列,Goolgle Gemini Pro, Meta开源模型

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 免费ChatGPT-4、Claude 3.5 Sonne 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) 102 205
付费说明 — —
替代品 免费ChatGPT-4、Claude 3.5 Sonne 的替代品 → Gemini 的替代品 →

📖 详细介绍

免费ChatGPT-4、Claude 3.5 Sonne 是什么?

这是一款完全免费且无需注册登录的AI聊天工具,整合了GPT-4、Claude 3.5 Sonnet等多个顶级模型,并提供每日可观的免费调用额度。核心功能方面,它支持多模型自由切换,包括OpenAI系列、Claude系列、Google Gemini Pro及Meta开源模型,其中基础模型每日可用150次,部分如GPT-4-all等模型每日50次;同时具备图片识别与文件处理能力,可直接上传图像或文档进行交互分析。该工具适合需要高频使用高级AI模型但预算有限的个人用户、开发者或学生,尤其适用于日常问答、代码调试、文档摘要、创意写作及多模态内容分析等场景,无需担心付费门槛或账户注册流程。

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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