专项更强Plans and executes automated tests using natural language, replacing manual bug reproduction steps with AI agents.
| 维度 / 指标 | ![]() | |
|---|---|---|
| 官方域名 | jam.dev | models.dev |
| 定价模式 | 免费增值,付费 | 免费 |
| 月访问量 | 57.06万 (570,598) | 20.05万 (200,451) |
| 月度环比流量变化 | -3.67万 (-6%) | -8167 (-3.9%) |
| 主要市场与份额 | 🇺🇸 美国 (22.5%) | 🇨🇳 中国 (23%) |
| 直接访问 / 月 | 44.33万 | 13.63万 |
| 用户评分 | 4.6 | 4.4 |
| 支持的平台 | 网站 | 网站 |
携带完整技术上下文录屏报 Bug
通过浏览器扩展、iOS 应用或 Mac 应用直接录屏或截图。
可获取的控制台日志、网络请求、用户事件与设备信息随录屏一并保存。
自动生成标题、摘要与复现步骤,为开发者与智能体提供明确起点。
把 Jam 推送到 Linear、Jira 或 Slack 分派,或送入 AI 编码工具排查。

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。
专项更强Plans and executes automated tests using natural language, replacing manual bug reproduction steps with AI agents.

专项更强Unifies test results and manual tracking, though lacking Jam's automatic visual screen recording and log capture.

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.
专项更强Automatically writes and executes regression test suites, offering deeper test automation than front-end bug capture.
专项更强Automatically writes and executes regression test suites, offering deeper test automation than front-end bug capture.
专项更强运行端到端 AI 测试来查找应用错误,用自主验证取代手动错误记录。

专项更强Automates web and mobile testing across platforms, focusing on end-to-end QA rather than instant bug reporting.

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.
专项更强通过遥测和代码库模型对事件进行分类,提供比标准错误报告工具更深入的工程洞察。

专项更强Archives how various AI models answer identical prompts over time, offering qualitative comparison rather than pricing.
专项更强Archives how various AI models answer identical prompts over time, offering qualitative comparison rather than pricing.
在简单的对比表中追踪各大 AI 供应商的每 Token API 价格,但省略了更广泛的模型规格。