') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ', 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ', 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ', 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); })(); 【案例】AI竞技场 (跨厂商 AI 模型对比平台) · Issue #13 · modelstudioai/modelstudioai.github.io · GitHub
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【案例】AI竞技场 (跨厂商 AI 模型对比平台) #13

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【案例】AI竞技场 (跨厂商 AI 模型对比平台)#13
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@Unicosmos
Unicosmos
opened on Jun 11, 2026
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我做了什么

开发了一个跨厂商 AI 模型对比平台。通过阿里云百炼统一 API 同时调用 DeepSeek、Kimi、GLM、MiniMax、Qwen 等厂商的 38 个模型，在文本对话、图片理解、文生图三个场景下对比输出质量、响应速度和成本。

使用的工具

  • OpenWork / 百炼 CLI
  • Skill 名称：bailian-model-config、model-arena-pattern
  • 其他：Node.js 原生 http 模块（零外部依赖）、阿里云百炼 DashScope API

效果展示

三标签体系：文本对话（14 个可用模型）、图片理解（9 个可用模型）、文生图（7 个可用模型）

核心特性：

  • SSE 流式输出，逐 token 实时渲染，先到先显示
  • 模型选择器按 8 个厂商分组，自由勾选对比
  • 同步滚动一键联动所有结果卡片
  • 每个模型显示预估费用（含官方定价页链接）
  • 启动时自动探测 38 个模型可用性，不可用模型自动置灰

架构：models.json 注册表驱动，增删模型只需编辑 JSON，无需改代码。

踩坑记录

  • 生图 API 端点不对：初始用了 /v1/images/generations（返回 404 空响应），改为 /api/v1/services/aigc/multimodal-generation/generation 后正常
  • 第三方厂商 vision 模型不可用：百炼 compatible-mode 对 vision 的支持仅限 Qwen 系列，其他厂商在百炼上没有视觉版本
  • 部分模型 ID 不匹配：百炼上实际可用 ID 与预期不同（如 qwen-turbo-latest 不可用但 qwen-turbo 可用），通过健康探测自动标记

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