Code Arena 每月有 35,827,928 次造訪，月增率 +19.4%，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。
Code Arena is a hands-on playground and leaderboard where you can pit leading AI coding models against each other on real web builds, comparing speed, accuracy, and logic in live side-by-side battles.
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 | arena.ai | scale.com |
| 定價模式 | 免費 | 需聯絡報價 |
| 每月造訪次數 | 3582.79萬 (35,827,928) | 61.69萬 (616,915) |
| 月流量變化量 | +583.28萬 (+19.4%) |
| +6.87萬 (+12.5%) |
| 主要市場與市佔 | 🇮🇳 印度 (13.1%) | 🇺🇸 美國 (44.2%) |
|---|
| 每月直接造訪 | 2433.99萬 | 19.14萬 |
|---|
| 使用者評分 | 4.7 | 4.7 |
|---|
| 支援平台 | 網站 | 網站 |
|---|
Code Arena is a hands-on playground and leaderboard where you can pit leading AI coding models against each other on real web builds, comparing speed, accuracy, and logic in live side-by-side battles.
Send the same coding prompt to multiple leading models and compare their generated apps and logic side by side.
Watch models construct web apps and websites live, so you can see process and output, not just the final file.
Projects go beyond one-off snippets, testing how well a model structures components, routes, and styles together.
Track which coding models accumulate the most wins over time to identify consistently strong performers.
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.
#1
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.
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。
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Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
面向 Cursor 的社群外掛、規則與 MCP 伺服器中心
