載入中…
正面對決基準比較
Models.dev vs Scale
Models.dev 每月有 200,451 次造訪，月增率 -3.9%，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。
Models.dev 每月有 200,451 次造訪，月增率 -3.9%，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 | models.dev | scale.com |
| 定價模式 | 免費 | 需聯絡報價 |
| 每月造訪次數 | 20.05萬 (200,451) | 61.69萬 (616,915) |
| 月流量變化量 | -8167 (-3.9%) | +6.87萬 (+12.5%) |
| 主要市場與市佔 | 🇨🇳 中國 (23%) | 🇺🇸 美國 (44.2%) |
| 每月直接造訪 | 13.63萬 | 19.14萬 |
| 使用者評分 | 4.4 | 4.7 |
| 支援平台 | 網站 | 網站 |
開源 AI 模型資料庫，價格與能力一目了然
每個模型採用統一的 provider/model 格式，方便跨供應商直接對比同一模型。
並排查看上下文視窗、輸出上限、推理、工具呼叫、結構化輸出與溫度支援。
列出每百萬 token 的輸入輸出價格，並標註發布與更新日期。
在一個可排序目錄中同時涵蓋閉源旗艦 API 與各實驗室的開放權重模型。
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.
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.
專項更強Includes model pricing trackers and developer news alongside tools directories, but less focused on raw API specs.
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
專項更強Provides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
專項更強Catalogues and compares AI infrastructure tools and services across categories, but lacks deep per-token pricing tables.
專項更強Catalogues and compares AI infrastructure tools and services across categories, but lacks deep per-token pricing tables.
