LabLab.ai 记录了 431,529 月访问量,月度环比增长为 -39.7%,定价为免费。Models.dev 记录了 200,451 月访问量,增长率为 -3.9%,定价为免费。
| 维度 / 指标 | ![]() | ![]() |
|---|---|---|
| 官方域名 | lablab.ai | models.dev |
| 定价模式 | 免费 | 免费 |
| 月访问量 | 43.15万 (431,529) | 20.05万 (200,451) |
| 月度环比流量变化 | -28.4万 (-39.7%) | -8167 (-3.9%) |
| 主要市场与份额 | 🇺🇸 美国 (12.3%) | 🇨🇳 中国 (23%) |
| 直接访问 / 月 | 20.23万 | 13.63万 |
| 用户评分 | 4.3 | 4.4 |
| 支持的平台 | 网站 | 网站 |

LabLab is a free global community and hackathon platform where developers, designers and founders build AI-native products with sponsor-provided models, APIs and prize pools.
Browse live, upcoming and finished hackathons from companies like AMD, IBM, Vultr, AssemblyAI and BAND, with prize pools, timelines and host details listed.
Get insights, boilerplates and one-to-one help from mentors via Discord and Twitch, with in-event interviews and scheduled talks.
A shared place to publish prototypes, follow peers and see how other teams approached the same AI stack or sponsor technology.
Events finish with streamed team pitches, giving founders a live audience of judges, mentors and thousands of other participants.

开源 AI 模型数据库,价格与能力一目了然
每个模型采用统一的 provider/model 格式,便于跨供应商直接对比同一模型。
并排查看上下文窗口、输出上限、推理、工具调用、结构化输出与温度支持。
列出每百万 token 的输入输出价格,并标注发布与更新日期。
在一个可排序目录中同时覆盖闭源旗舰 API 与各实验室的开放权重模型。

OpenAI 官方的学习中心,提供结构化课程与直播活动,但缺少 LabLab.ai 那种多厂商黑客松的专注特点。
专项更强检索并研究数百万公开的 SKILL.md 智能体技能

专项更强Includes model pricing trackers and developer news alongside tools directories, but less focused on raw API specs.
专项更强Includes model pricing trackers and developer news alongside tools directories, but less focused on raw API specs.
免费 / 开源提供关于提示工程的全面开源教育指南,但不举办协作型 AI 黑客松或构建挑战。
免费 / 开源拥有庞大的数据科学与 AI 从业者开放社群,但缺乏结构化的黑客松活动与快速原型挑战。
专项更强面向 Cursor 的社区插件、规则与 MCP 服务器中心

专项更强Catalogues and compares AI infrastructure tools and services across categories, but lacks deep per-token pricing tables.
专项更强Catalogues and compares AI infrastructure tools and services across categories, but lacks deep per-token pricing tables.
专项更强基于 Vercel AI SDK 的全栈模式,快速交付真实 AI 应用

专项更强Educational platform focused on prompt engineering and LLMs, but lacks community hackathons and developer prototyping events.
专项更强Educational platform focused on prompt engineering and LLMs, but lacks community hackathons and developer prototyping events.