免費 / 開源簡化在自有硬體上本地運行開源權重 LLM 的流程,但缺乏 ApX 明確的 VRAM 計算器與課程。
| 面向/指標 | ![]() | |
|---|---|---|
| 官方網域 | apxml.com | arena.ai |
| 定價模式 | 免費增值 | 免費 |
| 每月造訪次數 | 25.24萬 (252,389) | 3582.79萬 (35,827,928) |
| 月流量變化量 | -1.74萬 (-6.5%) | +583.28萬 (+19.4%) |
| 主要市場與市佔 | 🇺🇸 美國 (14.2%) | 🇮🇳 印度 (13.1%) |
| 每月直接造訪 | 6.76萬 | 2433.99萬 |
| 使用者評分 | 4.2 | 4.7 |
| 支援平台 | 網站 | 網站 |
面向開源權重 LLM 部署的 VRAM、吞吐與 GPU 成本計算器與課程平台
依模型版本、上下文長度、批次大小與量化精度估算權重與 KV 快取佔用,判斷某張 GPU 是否真的裝得下。
依硬體組態推算首字延遲與每秒 token 吞吐,協助你按實際流量規劃容量。
把記憶體與效能估算換算為每小時成本與單位 token 成本,方便橫向比較硬體方案。
收錄 500 多個模型版本與有據可查的硬體基準,讓選型輸入集中在一處。

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.
免費 / 開源簡化在自有硬體上本地運行開源權重 LLM 的流程,但缺乏 ApX 明確的 VRAM 計算器與課程。
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

專項更強Focuses on production LLM observability and evaluation rather than foundational deployment courses or hardware cost calculators.
專項更強Focuses on production LLM observability and evaluation rather than foundational deployment courses or hardware cost calculators.
面向 Cursor 的社群外掛、規則與 MCP 伺服器中心

專項更強Provides testing and monitoring tools for AI applications, helping developers optimize model performance in production.

專項更強Streamlines prompt management and LLM application tracing, complementing open-weight deployment workflows.
專項更強Streamlines prompt management and LLM application tracing, complementing open-weight deployment workflows.
用盲測對戰評測電腦與手機操作型 AI 代理