拥有庞大的市场调查消费者样本库,但缺乏 Prolific 对学术研究与 AI 调校的专门聚焦。
Models.dev 记录了 200,451 月访问量,月度环比增长为 -3.9%,定价为免费。Prolific 记录了 18,697,671 月访问量,增长率为 -1.8%,定价为付费。
| 维度 / 指标 | ![]() | |
|---|---|---|
| 官方域名 | models.dev | prolific.com |
| 定价模式 | 免费 | 付费 |
| 月访问量 | 20.05万 (200,451) | 1869.77万 (18,697,671) |
| 月度环比流量变化 | -8167 (-3.9%) | -35.2万 (-1.8%) |
| 主要市场与份额 | 🇨🇳 中国 (23%) | 🇺🇸 美国 (48.8%) |
| 直接访问 / 月 | 13.63万 | 1297.97万 |
| 用户评分 | 4.4 | 4.6 |
| 支持的平台 | 网站 | 网站 |

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。
为 AI 训练、评估与研究提供高质量人类数据
按详细的人口统计、职业和行为条件筛选参与者,触达小众或具代表性的样本,而非泛泛的人群。
采集用于模型微调的人类偏好数据,开展安全性评估与红队测试,并通过反馈 API 把人工环节接入自动化流水线。
注意力检验、诚实度筛查和审批流程,帮助你在分析结果前剔除敷衍或欺诈性回答。
发布研究后能迅速开始收集回答,工具支持筛选条件、配额设定和纵向研究设计。
拥有庞大的市场调查消费者样本库,但缺乏 Prolific 对学术研究与 AI 调校的专门聚焦。
专项更强前沿 AI 训练所用的环境,以及负责重复性工作的智能体

专项更强SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.
专项更强SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.

专项更强提供经过验证的B2B专业人士和医疗专家用于专项研究,但缺乏广泛的普通人群学术调查小组。

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Open-source data labeling and evaluation platform for AI workflows, but requires bringing your own annotation workforce.
免费 / 开源Open-source data labeling and evaluation platform for AI workflows, but requires bringing your own annotation workforce.
专项更强大规模开展 AI 主持的客户访谈并获取研究洞察

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Runs automated user interviews and usability tests with real or synthetic personas, but lacks a massive human participant pool.
专项更强Runs automated user interviews and usability tests with real or synthetic personas, but lacks a massive human participant pool.