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正面對決基準比較
Countless.dev vs Scale
Countless.dev 每月有 787 次造訪，月增率 -45.8%，定價模式為免費。Scale 每月有 616,915 次造訪，成長率 +12.5%，定價模式為需聯絡報價。
Countless.dev 每月有 787 次造訪，月增率 -45.8%，定價模式為免費。Scale 每月有 616,915 次造訪，成長率 +12.5%，定價模式為需聯絡報價。
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
| 面向／指標 | ||
|---|---|---|
| 官方網域 | countless.dev | scale.com |
| 定價模式 | 免費 | 需聯絡報價 |
| 每月造訪次數 | 787 (787) | 61.69萬 (616,915) |
| 月流量變化量 | -665 (-45.8%) | +6.87萬 (+12.5%) |
| 主要市場與市佔 | 🌐 全球 (—) | 🇺🇸 美國 (44.2%) |
| 每月直接造訪 | 318 | 19.14萬 |
| 使用者評分 | 4.4 | 4.7 |
| 支援平台 | 網站 | 網站 |
在同一處比較 AI 模型的價格、功能與能力
在同一個介面查看多家廠商的模型，對齊價格、上下文限制、模態與能力。
輸入 token 或請求量，搭配現行模型單價，估算某個工作負載的真實成本。
把兩個模型放在一起，看清誰在價格與功能上更佔優勢。
探索能力與價格的取捨，帕雷托視圖會標出在給定效能水準下性價比最高的模型。
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.
讓 AI 模型同台競技、由真人投票選出最佳設計產出的群眾外包競技場
免費 / 開源檢索並研究數百萬公開的 SKILL.md 代理技能
提供企業級多模態標註與資料管理工具，但較不強調託管式的標註人力。
專項更強在互聯環境中追蹤、評估並交付 AI 模型與代理。
專項更強Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
專項更強Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
免費 / 開源提供具彈性的開源替代方案，適用於自訂資料標註與真人迴路（Human-in-the-loop）標註管線。
專項更強打造、模擬、評估並監控能自我改進的 AI 代理
