chore: ruler files update
Signed-off-by: Dmytro Stanchiev <git@dmytros.dev>
This commit is contained in:
382
.claude/skills/huashu-design/assets/showcases/ppt/ppt-build.html
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382
.claude/skills/huashu-design/assets/showcases/ppt/ppt-build.html
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<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=1920">
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<title>GLM-4.7 Coding Benchmark - Build Studio Style</title>
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<link href="https://fonts.googleapis.com/css2?family=Inter:wght@200;300;400;500;600&display=swap" rel="stylesheet">
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<style>
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* { margin: 0; padding: 0; box-sizing: border-box; }
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body {
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||||
width: 1920px;
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||||
height: 1080px;
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||||
overflow: hidden;
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||||
margin: 0;
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||||
background: #FAFAF8;
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font-family: 'Inter', sans-serif;
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color: #2A2A2A;
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position: relative;
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}
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.container {
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width: 100%;
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height: 100%;
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display: flex;
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flex-direction: column;
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padding: 64px 96px 48px 96px;
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justify-content: space-between;
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}
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/* Top section */
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||||
.top-row {
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||||
display: flex;
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justify-content: space-between;
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align-items: flex-start;
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margin-bottom: 16px;
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}
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.eyebrow {
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||||
font-size: 10px;
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||||
font-weight: 400;
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||||
letter-spacing: 4px;
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text-transform: uppercase;
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color: #B0ACA4;
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}
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.source-note {
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||||
font-size: 10px;
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||||
font-weight: 300;
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color: #C0BCB6;
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text-align: right;
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||||
line-height: 1.6;
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}
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/* Title area */
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.title-area {
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margin-bottom: 0;
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padding-bottom: 24px;
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border-bottom: 1px solid #EEECE8;
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}
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.main-title {
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font-size: 40px;
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font-weight: 200;
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color: #2A2A2A;
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letter-spacing: -0.5px;
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line-height: 1.2;
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}
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.main-title .accent {
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font-weight: 400;
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color: #2A2A2A;
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}
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.subtitle {
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font-size: 14px;
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font-weight: 300;
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color: #A0A09A;
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margin-top: 8px;
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letter-spacing: 0.3px;
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}
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/* Center: Hero data section */
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.hero-data {
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flex: 1;
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display: flex;
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align-items: center;
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justify-content: center;
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gap: 0;
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position: relative;
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padding-bottom: 32px;
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border-bottom: 1px solid #EEECE8;
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}
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/* Three metric cards */
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.metric-card {
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flex: 1;
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display: flex;
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flex-direction: column;
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align-items: center;
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justify-content: center;
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position: relative;
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padding: 32px 24px;
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}
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.metric-card::after {
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content: '';
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position: absolute;
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||||
right: 0;
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top: 25%;
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height: 50%;
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width: 1px;
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background: linear-gradient(to bottom, transparent, #E0DCD6 50%, transparent);
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}
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.metric-card:last-child::after {
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display: none;
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||||
}
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.metric-value {
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font-size: 112px;
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font-weight: 200;
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color: #2A2A2A;
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letter-spacing: -4px;
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line-height: 1;
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position: relative;
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}
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.metric-value .dot {
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color: #D4A574;
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font-weight: 300;
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}
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.metric-unit {
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font-size: 28px;
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font-weight: 200;
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color: #D4A574;
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vertical-align: super;
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margin-left: 2px;
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opacity: 0.8;
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}
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.metric-name {
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||||
font-size: 12px;
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font-weight: 500;
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||||
letter-spacing: 2px;
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text-transform: uppercase;
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color: #888888;
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margin-top: 16px;
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margin-bottom: 8px;
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}
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.metric-category {
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||||
font-size: 11px;
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font-weight: 300;
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color: #B8B4AE;
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letter-spacing: 0.5px;
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}
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||||
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/* Comparison bars below each metric */
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.comparison-group {
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margin-top: 24px;
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width: 280px;
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}
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.comp-row {
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display: flex;
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align-items: center;
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margin-bottom: 8px;
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gap: 8px;
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}
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.comp-label {
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font-size: 11px;
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font-weight: 400;
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color: #A8A4A0;
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width: 72px;
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text-align: right;
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flex-shrink: 0;
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}
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.comp-track {
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flex: 1;
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height: 2px;
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||||
background: #EEECEA;
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border-radius: 1px;
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position: relative;
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||||
overflow: hidden;
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}
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.comp-fill {
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||||
height: 100%;
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border-radius: 1px;
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background: #D8D5D0;
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}
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.comp-fill.gold {
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||||
background: #D4A574;
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height: 3px;
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||||
margin-top: -0.5px;
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||||
}
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||||
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.comp-val {
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||||
font-size: 11px;
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font-weight: 500;
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||||
color: #999999;
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||||
width: 40px;
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flex-shrink: 0;
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||||
}
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||||
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||||
.comp-val.gold {
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||||
color: #D4A574;
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||||
font-weight: 500;
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||||
}
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||||
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||||
/* Bottom section */
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||||
.bottom-section {
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||||
display: flex;
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justify-content: space-between;
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align-items: flex-end;
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||||
padding-top: 24px;
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}
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||||
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||||
.insight-text {
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||||
font-size: 13px;
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||||
font-weight: 300;
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||||
color: #999;
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||||
line-height: 1.8;
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||||
max-width: 560px;
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||||
}
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||||
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||||
.insight-text strong {
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||||
font-weight: 500;
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||||
color: #666;
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||||
}
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||||
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.brand-mark {
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||||
display: flex;
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||||
align-items: center;
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||||
gap: 16px;
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||||
}
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||||
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||||
.brand-line {
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||||
width: 32px;
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||||
height: 1px;
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||||
background: #D4A574;
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||||
opacity: 0.6;
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||||
}
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||||
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.brand-text {
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||||
font-size: 10px;
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||||
font-weight: 400;
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||||
letter-spacing: 3px;
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||||
color: #C8C4BC;
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||||
}
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||||
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||||
/* Slide indicator — functional PPT element */
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.slide-indicator {
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||||
position: absolute;
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top: 64px;
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right: 96px;
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display: flex;
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||||
gap: 6px;
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align-items: center;
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}
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||||
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.slide-dot {
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||||
width: 4px;
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||||
height: 4px;
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||||
border-radius: 50%;
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||||
background: #E0DCD6;
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||||
}
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||||
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.slide-dot.active {
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background: #D4A574;
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||||
width: 16px;
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border-radius: 2px;
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}
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</style>
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</head>
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<body>
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<div class="container">
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<!-- Top row -->
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<div class="top-row">
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<div class="eyebrow">GLM-4.7 Open-Source Model</div>
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<div class="source-note">Benchmark Evaluation 2025<br>Official Results</div>
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</div>
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<!-- Title -->
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<div class="title-area">
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<div class="main-title">Coding Capability <span style="font-weight:400;">Breakthrough</span><span style="color:#D4A574; font-weight:300; font-size:48px;">.</span></div>
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<div class="subtitle">First open-source model to achieve state-of-the-art across all major coding benchmarks</div>
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</div>
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<!-- Hero data -->
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<div class="hero-data">
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<!-- AIME 2025 -->
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<div class="metric-card">
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<div class="metric-value">95<span class="dot">.</span>7</div>
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<div class="metric-name">AIME 2025</div>
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<div class="metric-category">Mathematical Reasoning</div>
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||||
<div class="comparison-group">
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||||
<div class="comp-row">
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||||
<span class="comp-label">GLM-4.7</span>
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||||
<div class="comp-track"><div class="comp-fill gold" style="width: 100%;"></div></div>
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<span class="comp-val gold">95.7</span>
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</div>
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||||
<div class="comp-row">
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||||
<span class="comp-label">Claude 3.5</span>
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<div class="comp-track"><div class="comp-fill" style="width: 92.2%;"></div></div>
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<span class="comp-val">88.2</span>
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</div>
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<div class="comp-row">
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<span class="comp-label">GPT-4o</span>
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<div class="comp-track"><div class="comp-fill" style="width: 87.4%;"></div></div>
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<span class="comp-val">83.6</span>
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</div>
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</div>
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</div>
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<!-- SWE-bench Verified -->
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<div class="metric-card">
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<div class="metric-value">73<span class="dot">.</span>8<span class="metric-unit">%</span></div>
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<div class="metric-name">SWE-bench Verified</div>
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<div class="metric-category">Software Engineering</div>
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||||
<div class="comparison-group">
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<div class="comp-row">
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||||
<span class="comp-label">GLM-4.7</span>
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<div class="comp-track"><div class="comp-fill gold" style="width: 100%;"></div></div>
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<span class="comp-val gold">73.8%</span>
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</div>
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||||
<div class="comp-row">
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<span class="comp-label">Claude 3.5</span>
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||||
<div class="comp-track"><div class="comp-fill" style="width: 72.2%;"></div></div>
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<span class="comp-val">53.3%</span>
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</div>
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<div class="comp-row">
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<span class="comp-label">GPT-4o</span>
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<div class="comp-track"><div class="comp-fill" style="width: 65.3%;"></div></div>
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<span class="comp-val">48.2%</span>
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</div>
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</div>
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</div>
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||||
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||||
<!-- Tau-bench -->
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||||
<div class="metric-card">
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||||
<div class="metric-value">87<span class="dot">.</span>4</div>
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<div class="metric-name">τ²-Bench</div>
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<div class="metric-category">Agent Task Completion</div>
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||||
<div class="comparison-group">
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<div class="comp-row">
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<span class="comp-label">GLM-4.7</span>
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<div class="comp-track"><div class="comp-fill gold" style="width: 100%;"></div></div>
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<span class="comp-val gold">87.4</span>
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</div>
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||||
<div class="comp-row">
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<span class="comp-label">Claude 3.5</span>
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||||
<div class="comp-track"><div class="comp-fill" style="width: 90.3%;"></div></div>
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||||
<span class="comp-val">78.9</span>
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||||
</div>
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||||
<div class="comp-row">
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||||
<span class="comp-label">GPT-4o</span>
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<div class="comp-track"><div class="comp-fill" style="width: 81.8%;"></div></div>
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<span class="comp-val">71.5</span>
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</div>
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</div>
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</div>
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</div>
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<!-- Bottom -->
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<div class="bottom-section">
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<div class="insight-text">
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GLM-4.7 demonstrates that <strong>open-source models can compete at the frontier</strong> of coding intelligence,
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outperforming leading proprietary models with margins of <strong>+7.5 to +20.5 points</strong> across benchmarks.
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</div>
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<div class="brand-mark">
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<div class="brand-line"></div>
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<span class="brand-text">ZHIPU AI</span>
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</div>
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</div>
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</div>
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</body>
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</html>
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BIN
.claude/skills/huashu-design/assets/showcases/ppt/ppt-build.png
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BIN
.claude/skills/huashu-design/assets/showcases/ppt/ppt-build.png
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After Width: | Height: | Size: 82 KiB |
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<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=1920">
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<title>GLM-4.7 Coding Benchmark - Pentagram Style</title>
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<style>
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* { margin: 0; padding: 0; box-sizing: border-box; }
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body {
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||||
width: 1920px;
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height: 1080px;
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overflow: hidden;
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margin: 0;
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background: #FFFFFF;
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font-family: 'Helvetica Neue', Arial, sans-serif;
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color: #111;
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position: relative;
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||||
}
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|
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/* Top black bar */
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.top-bar {
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||||
position: absolute;
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top: 0;
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left: 0;
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right: 0;
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height: 64px;
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background: #111;
|
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display: flex;
|
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align-items: center;
|
||||
justify-content: space-between;
|
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padding: 0 80px;
|
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z-index: 10;
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}
|
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|
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.top-label {
|
||||
font-size: 12px;
|
||||
font-weight: 700;
|
||||
letter-spacing: 3px;
|
||||
text-transform: uppercase;
|
||||
color: #fff;
|
||||
}
|
||||
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.top-label .red { color: #E63946; }
|
||||
|
||||
.top-right {
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||||
font-size: 11px;
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||||
font-weight: 700;
|
||||
letter-spacing: 2px;
|
||||
text-transform: uppercase;
|
||||
color: #E63946;
|
||||
}
|
||||
|
||||
/* Grid lines */
|
||||
.grid-line-v {
|
||||
position: absolute;
|
||||
top: 64px;
|
||||
bottom: 64px;
|
||||
width: 1px;
|
||||
background: #000;
|
||||
opacity: 0.05;
|
||||
}
|
||||
|
||||
.grid-line-h {
|
||||
position: absolute;
|
||||
left: 80px;
|
||||
right: 80px;
|
||||
height: 1px;
|
||||
background: #000;
|
||||
opacity: 0.05;
|
||||
}
|
||||
|
||||
/* Left column — hero number + model info */
|
||||
.left-col {
|
||||
position: absolute;
|
||||
left: 80px;
|
||||
top: 104px;
|
||||
width: 480px;
|
||||
}
|
||||
|
||||
.model-tag {
|
||||
font-size: 11px;
|
||||
font-weight: 700;
|
||||
letter-spacing: 3px;
|
||||
text-transform: uppercase;
|
||||
color: #999;
|
||||
margin-bottom: 8px;
|
||||
}
|
||||
|
||||
.model-name {
|
||||
font-size: 48px;
|
||||
font-weight: 900;
|
||||
color: #111;
|
||||
line-height: 1;
|
||||
letter-spacing: -2px;
|
||||
}
|
||||
|
||||
.model-name .version { color: #E63946; }
|
||||
|
||||
.hero-number {
|
||||
font-size: 200px;
|
||||
font-weight: 900;
|
||||
line-height: 0.85;
|
||||
letter-spacing: -10px;
|
||||
color: #111;
|
||||
margin-top: 24px;
|
||||
}
|
||||
|
||||
.hero-number .decimal { color: #E63946; }
|
||||
|
||||
.hero-context {
|
||||
font-size: 13px;
|
||||
font-weight: 500;
|
||||
color: #999;
|
||||
letter-spacing: 1px;
|
||||
text-transform: uppercase;
|
||||
margin-top: 8px;
|
||||
}
|
||||
|
||||
.key-message {
|
||||
font-size: 16px;
|
||||
font-weight: 400;
|
||||
line-height: 1.6;
|
||||
color: #666;
|
||||
margin-top: 32px;
|
||||
max-width: 400px;
|
||||
}
|
||||
|
||||
.key-message strong {
|
||||
color: #111;
|
||||
font-weight: 700;
|
||||
}
|
||||
|
||||
.open-badge {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
gap: 8px;
|
||||
margin-top: 24px;
|
||||
padding: 8px 16px;
|
||||
border: 2px solid #E63946;
|
||||
font-size: 11px;
|
||||
font-weight: 700;
|
||||
letter-spacing: 2px;
|
||||
text-transform: uppercase;
|
||||
color: #E63946;
|
||||
}
|
||||
|
||||
/* Right area — 3 benchmark columns */
|
||||
.data-area {
|
||||
position: absolute;
|
||||
left: 620px;
|
||||
top: 104px;
|
||||
right: 80px;
|
||||
bottom: 64px;
|
||||
display: flex;
|
||||
gap: 0;
|
||||
}
|
||||
|
||||
.bench-col {
|
||||
flex: 1;
|
||||
padding: 0 32px;
|
||||
border-left: 1px solid #E8E8E8;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
}
|
||||
|
||||
.bench-col:first-child {
|
||||
padding-left: 0;
|
||||
border-left: none;
|
||||
}
|
||||
|
||||
.bench-title {
|
||||
font-size: 13px;
|
||||
font-weight: 700;
|
||||
letter-spacing: 2px;
|
||||
text-transform: uppercase;
|
||||
color: #111;
|
||||
margin-bottom: 4px;
|
||||
}
|
||||
|
||||
.bench-type {
|
||||
font-size: 11px;
|
||||
font-weight: 400;
|
||||
color: #BBB;
|
||||
margin-bottom: 64px;
|
||||
}
|
||||
|
||||
/* Hero score per column */
|
||||
.bench-hero {
|
||||
font-size: 80px;
|
||||
font-weight: 900;
|
||||
color: #E63946;
|
||||
letter-spacing: -3px;
|
||||
line-height: 1;
|
||||
margin-bottom: 64px;
|
||||
}
|
||||
|
||||
/* Horizontal bar chart */
|
||||
.bar-group {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 24px;
|
||||
}
|
||||
|
||||
.bar-row {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 16px;
|
||||
}
|
||||
|
||||
.bar-label {
|
||||
font-size: 13px;
|
||||
font-weight: 600;
|
||||
color: #888;
|
||||
width: 90px;
|
||||
flex-shrink: 0;
|
||||
text-align: right;
|
||||
}
|
||||
|
||||
.bar-label.highlight {
|
||||
color: #111;
|
||||
font-weight: 700;
|
||||
}
|
||||
|
||||
.bar-track {
|
||||
flex: 1;
|
||||
height: 56px;
|
||||
background: #F5F5F5;
|
||||
position: relative;
|
||||
}
|
||||
|
||||
.bar-fill {
|
||||
height: 100%;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: flex-end;
|
||||
padding-right: 14px;
|
||||
}
|
||||
|
||||
.bar-fill.base {
|
||||
background: #E0E0E0;
|
||||
}
|
||||
|
||||
.bar-fill.dark {
|
||||
background: #111;
|
||||
}
|
||||
|
||||
.bar-fill.winner {
|
||||
background: #E63946;
|
||||
}
|
||||
|
||||
.bar-value {
|
||||
font-size: 15px;
|
||||
font-weight: 700;
|
||||
color: #fff;
|
||||
}
|
||||
|
||||
.bar-fill.base .bar-value {
|
||||
color: #888;
|
||||
}
|
||||
|
||||
/* Bottom bar */
|
||||
.bottom-bar {
|
||||
position: absolute;
|
||||
bottom: 0;
|
||||
left: 0;
|
||||
right: 0;
|
||||
height: 64px;
|
||||
background: #111;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: space-between;
|
||||
padding: 0 80px;
|
||||
z-index: 10;
|
||||
}
|
||||
|
||||
.bottom-left {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 24px;
|
||||
}
|
||||
|
||||
.bottom-logo {
|
||||
font-size: 14px;
|
||||
font-weight: 900;
|
||||
color: #fff;
|
||||
letter-spacing: 1px;
|
||||
}
|
||||
|
||||
.bottom-divider {
|
||||
width: 1px;
|
||||
height: 20px;
|
||||
background: #444;
|
||||
}
|
||||
|
||||
.bottom-note {
|
||||
font-size: 11px;
|
||||
font-weight: 400;
|
||||
color: #666;
|
||||
}
|
||||
|
||||
.bottom-right-text {
|
||||
font-size: 11px;
|
||||
font-weight: 700;
|
||||
letter-spacing: 2px;
|
||||
text-transform: uppercase;
|
||||
color: #E63946;
|
||||
}
|
||||
|
||||
/* Delta label */
|
||||
.delta {
|
||||
font-size: 12px;
|
||||
font-weight: 700;
|
||||
color: #E63946;
|
||||
letter-spacing: 1px;
|
||||
text-transform: uppercase;
|
||||
margin-top: 24px;
|
||||
padding-left: 106px;
|
||||
}
|
||||
|
||||
/* Bottom summary row */
|
||||
.summary-row {
|
||||
position: absolute;
|
||||
bottom: 96px;
|
||||
left: 620px;
|
||||
right: 80px;
|
||||
display: flex;
|
||||
border-top: 1px solid #E8E8E8;
|
||||
padding-top: 24px;
|
||||
}
|
||||
|
||||
.summary-item {
|
||||
flex: 1;
|
||||
padding: 0 32px;
|
||||
}
|
||||
|
||||
.summary-item:first-child {
|
||||
padding-left: 0;
|
||||
}
|
||||
|
||||
.summary-num {
|
||||
font-size: 32px;
|
||||
font-weight: 900;
|
||||
color: #111;
|
||||
letter-spacing: -1px;
|
||||
line-height: 1;
|
||||
}
|
||||
|
||||
.summary-num .red { color: #E63946; }
|
||||
|
||||
.summary-desc {
|
||||
font-size: 11px;
|
||||
font-weight: 500;
|
||||
color: #999;
|
||||
letter-spacing: 1px;
|
||||
text-transform: uppercase;
|
||||
margin-top: 8px;
|
||||
}
|
||||
|
||||
/* Winner markers */
|
||||
.winner-dot {
|
||||
position: absolute;
|
||||
right: -8px;
|
||||
top: 50%;
|
||||
transform: translateY(-50%);
|
||||
width: 6px;
|
||||
height: 6px;
|
||||
border-radius: 50%;
|
||||
background: #E63946;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
|
||||
<!-- Top bar -->
|
||||
<div class="top-bar">
|
||||
<span class="top-label">Benchmark Report <span class="red">/</span> 2025 Coding Performance</span>
|
||||
<span class="top-right">Open-Source SOTA</span>
|
||||
</div>
|
||||
|
||||
<!-- Grid lines -->
|
||||
<div class="grid-line-v" style="left: 80px;"></div>
|
||||
<div class="grid-line-v" style="left: 620px;"></div>
|
||||
<div class="grid-line-v" style="right: 80px;"></div>
|
||||
<div class="grid-line-h" style="top: 104px;"></div>
|
||||
|
||||
<!-- Left column -->
|
||||
<div class="left-col">
|
||||
<div class="model-tag">Open-Source Model</div>
|
||||
<div class="model-name">GLM-<span class="version">4.7</span></div>
|
||||
<div class="hero-number">95<span class="decimal">.</span>7</div>
|
||||
<div class="hero-context">AIME 2025 Score</div>
|
||||
<div class="key-message">
|
||||
<strong>First open-source model to achieve SOTA</strong> across all three major coding benchmarks, surpassing GPT-4o and Claude 3.5.
|
||||
</div>
|
||||
<div class="open-badge">
|
||||
<svg width="14" height="14" viewBox="0 0 14 14" fill="none">
|
||||
<circle cx="7" cy="7" r="6" stroke="#E63946" stroke-width="1.5"/>
|
||||
<circle cx="7" cy="7" r="2.5" fill="#E63946"/>
|
||||
</svg>
|
||||
Open Source
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Data columns -->
|
||||
<div class="data-area">
|
||||
<!-- AIME 2025 -->
|
||||
<div class="bench-col">
|
||||
<div class="bench-title">AIME 2025</div>
|
||||
<div class="bench-type">Mathematical Reasoning</div>
|
||||
<div class="bench-hero">95.7</div>
|
||||
<div class="bar-group">
|
||||
<div class="bar-row">
|
||||
<span class="bar-label highlight">GLM-4.7</span>
|
||||
<div class="bar-track">
|
||||
<div class="bar-fill winner" style="width: 95.7%;">
|
||||
<span class="bar-value">95.7</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="bar-row">
|
||||
<span class="bar-label">Claude 3.5</span>
|
||||
<div class="bar-track">
|
||||
<div class="bar-fill dark" style="width: 88.2%;">
|
||||
<span class="bar-value">88.2</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="bar-row">
|
||||
<span class="bar-label">GPT-4o</span>
|
||||
<div class="bar-track">
|
||||
<div class="bar-fill base" style="width: 83.6%;">
|
||||
<span class="bar-value">83.6</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="delta">+7.5 vs closed-source best</div>
|
||||
</div>
|
||||
|
||||
<!-- SWE-bench -->
|
||||
<div class="bench-col">
|
||||
<div class="bench-title">SWE-bench Verified</div>
|
||||
<div class="bench-type">Software Engineering</div>
|
||||
<div class="bench-hero">73.8</div>
|
||||
<div class="bar-group">
|
||||
<div class="bar-row">
|
||||
<span class="bar-label highlight">GLM-4.7</span>
|
||||
<div class="bar-track">
|
||||
<div class="bar-fill winner" style="width: 73.8%;">
|
||||
<span class="bar-value">73.8%</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="bar-row">
|
||||
<span class="bar-label">Claude 3.5</span>
|
||||
<div class="bar-track">
|
||||
<div class="bar-fill dark" style="width: 53.3%;">
|
||||
<span class="bar-value">53.3%</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="bar-row">
|
||||
<span class="bar-label">GPT-4o</span>
|
||||
<div class="bar-track">
|
||||
<div class="bar-fill base" style="width: 48.2%;">
|
||||
<span class="bar-value">48.2%</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="delta">+20.5 vs closed-source best</div>
|
||||
</div>
|
||||
|
||||
<!-- Tau-bench -->
|
||||
<div class="bench-col">
|
||||
<div class="bench-title">τ²-Bench</div>
|
||||
<div class="bench-type">Agent Task Completion</div>
|
||||
<div class="bench-hero">87.4</div>
|
||||
<div class="bar-group">
|
||||
<div class="bar-row">
|
||||
<span class="bar-label highlight">GLM-4.7</span>
|
||||
<div class="bar-track">
|
||||
<div class="bar-fill winner" style="width: 87.4%;">
|
||||
<span class="bar-value">87.4</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="bar-row">
|
||||
<span class="bar-label">Claude 3.5</span>
|
||||
<div class="bar-track">
|
||||
<div class="bar-fill dark" style="width: 78.9%;">
|
||||
<span class="bar-value">78.9</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="bar-row">
|
||||
<span class="bar-label">GPT-4o</span>
|
||||
<div class="bar-track">
|
||||
<div class="bar-fill base" style="width: 71.5%;">
|
||||
<span class="bar-value">71.5</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="delta">+8.5 vs closed-source best</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Summary row -->
|
||||
<div class="summary-row">
|
||||
<div class="summary-item">
|
||||
<div class="summary-num"><span class="red">3</span>/3</div>
|
||||
<div class="summary-desc">Benchmarks Won</div>
|
||||
</div>
|
||||
<div class="summary-item">
|
||||
<div class="summary-num"><span class="red">#1</span></div>
|
||||
<div class="summary-desc">Open-Source Ranking</div>
|
||||
</div>
|
||||
<div class="summary-item">
|
||||
<div class="summary-num">12<span class="red">.</span>2<span style="font-size:18px;color:#999;">avg</span></div>
|
||||
<div class="summary-desc">Points Above Runner-Up</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Bottom bar -->
|
||||
<div class="bottom-bar">
|
||||
<div class="bottom-left">
|
||||
<span class="bottom-logo">ZHIPU AI</span>
|
||||
<div class="bottom-divider"></div>
|
||||
<span class="bottom-note">Benchmark data sourced from official evaluation reports, 2025</span>
|
||||
</div>
|
||||
<span class="bottom-right-text">Open-Source SOTA</span>
|
||||
</div>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
Binary file not shown.
|
After Width: | Height: | Size: 99 KiB |
@@ -0,0 +1,497 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="zh-CN">
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=1920">
|
||||
<title>GLM-4.7 Coding Benchmark - Takram Style</title>
|
||||
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600&family=Noto+Serif+SC:wght@300;400;500;600&display=swap" rel="stylesheet">
|
||||
<style>
|
||||
* { margin: 0; padding: 0; box-sizing: border-box; }
|
||||
body {
|
||||
width: 1920px;
|
||||
height: 1080px;
|
||||
overflow: hidden;
|
||||
margin: 0;
|
||||
background: #F5F0EB;
|
||||
font-family: 'Inter', sans-serif;
|
||||
color: #3A3A3A;
|
||||
position: relative;
|
||||
}
|
||||
|
||||
/* Subtle background texture */
|
||||
body::before {
|
||||
content: '';
|
||||
position: absolute;
|
||||
top: 0; left: 0; right: 0; bottom: 0;
|
||||
background:
|
||||
radial-gradient(ellipse at 20% 50%, rgba(168, 181, 160, 0.08) 0%, transparent 60%),
|
||||
radial-gradient(ellipse at 80% 30%, rgba(200, 190, 175, 0.06) 0%, transparent 50%);
|
||||
pointer-events: none;
|
||||
}
|
||||
|
||||
.layout {
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
display: grid;
|
||||
grid-template-columns: 480px 1fr;
|
||||
grid-template-rows: 1fr;
|
||||
position: relative;
|
||||
z-index: 1;
|
||||
}
|
||||
|
||||
/* Left panel */
|
||||
.left-panel {
|
||||
padding: 72px 48px 60px 72px;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
justify-content: space-between;
|
||||
border-right: 1px solid rgba(107, 143, 113, 0.15);
|
||||
}
|
||||
|
||||
.left-top {}
|
||||
|
||||
.category-label {
|
||||
font-size: 10px;
|
||||
font-weight: 500;
|
||||
letter-spacing: 3px;
|
||||
text-transform: uppercase;
|
||||
color: #6B8F71;
|
||||
margin-bottom: 32px;
|
||||
opacity: 0.8;
|
||||
}
|
||||
|
||||
.title-jp {
|
||||
font-family: 'Noto Serif SC', serif;
|
||||
font-size: 42px;
|
||||
font-weight: 400;
|
||||
color: #2D3436;
|
||||
line-height: 1.4;
|
||||
margin-bottom: 16px;
|
||||
letter-spacing: 1px;
|
||||
}
|
||||
|
||||
.title-en {
|
||||
font-size: 15px;
|
||||
font-weight: 300;
|
||||
color: #999999;
|
||||
line-height: 1.7;
|
||||
max-width: 340px;
|
||||
}
|
||||
|
||||
.model-badge {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
gap: 8px;
|
||||
margin-top: 36px;
|
||||
padding: 10px 18px;
|
||||
background: rgba(107, 143, 113, 0.08);
|
||||
border: 1px solid rgba(107, 143, 113, 0.15);
|
||||
border-radius: 24px;
|
||||
}
|
||||
|
||||
.model-badge-dot {
|
||||
width: 8px;
|
||||
height: 8px;
|
||||
border-radius: 50%;
|
||||
background: #6B8F71;
|
||||
}
|
||||
|
||||
.model-badge-text {
|
||||
font-size: 12px;
|
||||
font-weight: 500;
|
||||
color: #6B8F71;
|
||||
letter-spacing: 1px;
|
||||
}
|
||||
|
||||
/* Page indicator */
|
||||
.page-indicator {
|
||||
position: absolute;
|
||||
bottom: 40px;
|
||||
right: 72px;
|
||||
font-family: 'Inter', sans-serif;
|
||||
font-size: 10px;
|
||||
font-weight: 300;
|
||||
color: #C8C2B8;
|
||||
letter-spacing: 1px;
|
||||
}
|
||||
|
||||
/* Key insight */
|
||||
.key-insight {
|
||||
background: rgba(255, 255, 255, 0.5);
|
||||
border-radius: 16px;
|
||||
padding: 24px 28px;
|
||||
border: 1px solid rgba(168, 181, 160, 0.2);
|
||||
}
|
||||
|
||||
.key-insight-label {
|
||||
font-size: 10px;
|
||||
font-weight: 500;
|
||||
letter-spacing: 2px;
|
||||
text-transform: uppercase;
|
||||
color: #A8B5A0;
|
||||
margin-bottom: 10px;
|
||||
}
|
||||
|
||||
.key-insight-text {
|
||||
font-family: 'Noto Serif SC', serif;
|
||||
font-size: 15px;
|
||||
font-weight: 400;
|
||||
color: #555555;
|
||||
line-height: 1.8;
|
||||
}
|
||||
|
||||
.left-bottom {
|
||||
display: flex;
|
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align-items: center;
|
||||
gap: 12px;
|
||||
}
|
||||
|
||||
.credit {
|
||||
font-size: 11px;
|
||||
font-weight: 400;
|
||||
color: #BBBBBB;
|
||||
letter-spacing: 0.5px;
|
||||
}
|
||||
|
||||
/* Right panel - visualization */
|
||||
.right-panel {
|
||||
padding: 60px 72px 60px 60px;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
position: relative;
|
||||
}
|
||||
|
||||
.viz-header {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: flex-start;
|
||||
margin-bottom: 24px;
|
||||
}
|
||||
|
||||
.viz-title {
|
||||
font-size: 13px;
|
||||
font-weight: 500;
|
||||
letter-spacing: 1.5px;
|
||||
text-transform: uppercase;
|
||||
color: #888888;
|
||||
}
|
||||
|
||||
.legend {
|
||||
display: flex;
|
||||
gap: 20px;
|
||||
}
|
||||
|
||||
.legend-item {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 6px;
|
||||
}
|
||||
|
||||
.legend-dot {
|
||||
width: 10px;
|
||||
height: 10px;
|
||||
border-radius: 50%;
|
||||
}
|
||||
|
||||
.legend-dot.glm { background: #6B8F71; }
|
||||
.legend-dot.claude { background: #D4A574; }
|
||||
.legend-dot.gpt { background: #C8C2B8; }
|
||||
|
||||
.legend-text {
|
||||
font-size: 11px;
|
||||
font-weight: 400;
|
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color: #999999;
|
||||
}
|
||||
|
||||
/* SVG radar chart area */
|
||||
.radar-area {
|
||||
flex: 1;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
position: relative;
|
||||
}
|
||||
|
||||
.radar-svg {
|
||||
filter: drop-shadow(0 4px 20px rgba(0,0,0,0.04));
|
||||
}
|
||||
|
||||
/* Metric cards row */
|
||||
.metric-cards {
|
||||
display: grid;
|
||||
grid-template-columns: 1fr 1fr 1fr;
|
||||
gap: 20px;
|
||||
margin-top: 20px;
|
||||
}
|
||||
|
||||
.m-card {
|
||||
background: rgba(255, 255, 255, 0.6);
|
||||
border-radius: 16px;
|
||||
padding: 24px 28px;
|
||||
border: 1px solid rgba(168, 181, 160, 0.15);
|
||||
position: relative;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.m-card::before {
|
||||
content: '';
|
||||
position: absolute;
|
||||
top: 0;
|
||||
left: 28px;
|
||||
width: 32px;
|
||||
height: 2px;
|
||||
background: #6B8F71;
|
||||
opacity: 0.4;
|
||||
border-radius: 1px;
|
||||
}
|
||||
|
||||
.m-card-name {
|
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font-size: 11px;
|
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font-weight: 500;
|
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letter-spacing: 1.5px;
|
||||
text-transform: uppercase;
|
||||
color: #999999;
|
||||
margin-bottom: 4px;
|
||||
}
|
||||
|
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.m-card-type {
|
||||
font-size: 11px;
|
||||
font-weight: 300;
|
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color: #BBBBBB;
|
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margin-bottom: 16px;
|
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}
|
||||
|
||||
.m-card-value {
|
||||
font-size: 40px;
|
||||
font-weight: 300;
|
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color: #2D3436;
|
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letter-spacing: -1px;
|
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line-height: 1;
|
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}
|
||||
|
||||
.m-card-value .unit {
|
||||
font-size: 18px;
|
||||
color: #6B8F71;
|
||||
font-weight: 400;
|
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}
|
||||
|
||||
.m-card-delta {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
gap: 4px;
|
||||
margin-top: 10px;
|
||||
font-size: 12px;
|
||||
font-weight: 500;
|
||||
color: #7D9B72;
|
||||
background: rgba(168, 181, 160, 0.12);
|
||||
padding: 3px 10px;
|
||||
border-radius: 12px;
|
||||
}
|
||||
|
||||
.m-card-delta svg {
|
||||
width: 10px;
|
||||
height: 10px;
|
||||
}
|
||||
|
||||
.m-card-competitors {
|
||||
margin-top: 14px;
|
||||
display: flex;
|
||||
gap: 16px;
|
||||
}
|
||||
|
||||
.comp-mini {
|
||||
font-size: 11px;
|
||||
font-weight: 400;
|
||||
color: #AAAAAA;
|
||||
}
|
||||
|
||||
.comp-mini span {
|
||||
font-weight: 500;
|
||||
color: #888888;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
<div class="layout">
|
||||
<!-- Left panel -->
|
||||
<div class="left-panel">
|
||||
<div class="left-top">
|
||||
<div class="category-label">Benchmark Analysis</div>
|
||||
<div class="title-jp">GLM-4.7<br>Coding 能力突破</div>
|
||||
<div class="title-en">
|
||||
Open-source model achieves state-of-the-art performance across all major coding benchmarks for the first time.
|
||||
</div>
|
||||
<div class="model-badge">
|
||||
<div class="model-badge-dot"></div>
|
||||
<span class="model-badge-text">GLM-4.7 Open Source</span>
|
||||
</div>
|
||||
|
||||
<div class="key-insight" style="margin-top: 40px;">
|
||||
<div class="key-insight-label">Key Finding</div>
|
||||
<div class="key-insight-text">
|
||||
在三项核心编程基准测试中，GLM-4.7 均超越 GPT-4o 和 Claude 3.5，成为首个达到 SOTA 水平的开源模型。
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="left-bottom">
|
||||
<svg width="16" height="16" viewBox="0 0 16 16" fill="none">
|
||||
<rect x="1" y="1" width="14" height="14" rx="3" stroke="#BBBBBB" stroke-width="1"/>
|
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<path d="M5 8L7 10L11 6" stroke="#A8B5A0" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"/>
|
||||
</svg>
|
||||
<span class="credit">Data: Official benchmark evaluations, 2026</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Right panel -->
|
||||
<div class="right-panel">
|
||||
<div class="viz-header">
|
||||
<div class="viz-title">Performance Comparison <span style="font-weight:300;color:#B0AAA0;font-size:10px;margin-left:8px;">— 03 benchmarks</span></div>
|
||||
<div class="legend">
|
||||
<div class="legend-item"><div class="legend-dot glm"></div><span class="legend-text">GLM-4.7</span></div>
|
||||
<div class="legend-item"><div class="legend-dot claude"></div><span class="legend-text">Claude 3.5</span></div>
|
||||
<div class="legend-item"><div class="legend-dot gpt"></div><span class="legend-text">GPT-4o</span></div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Radar chart SVG — art-piece treatment -->
|
||||
<div class="radar-area">
|
||||
<svg class="radar-svg" width="560" height="560" viewBox="0 0 560 560">
|
||||
|
||||
<!-- Subtle background circle (like a lens/scope) -->
|
||||
<circle cx="280" cy="280" r="250" fill="none" stroke="#E8E4DC" stroke-width="0.3" opacity="0.5"/>
|
||||
|
||||
<!-- Grid circles — hand-drawn feel with varied dash -->
|
||||
<circle cx="280" cy="280" r="220" fill="none" stroke="#DDD9D2" stroke-width="0.6" stroke-dasharray="2,6"/>
|
||||
<circle cx="280" cy="280" r="176" fill="none" stroke="#DDD9D2" stroke-width="0.5" stroke-dasharray="2,6"/>
|
||||
<circle cx="280" cy="280" r="132" fill="none" stroke="#DDD9D2" stroke-width="0.4" stroke-dasharray="2,6"/>
|
||||
<circle cx="280" cy="280" r="88" fill="none" stroke="#DDD9D2" stroke-width="0.4" stroke-dasharray="2,6"/>
|
||||
<circle cx="280" cy="280" r="44" fill="none" stroke="#DDD9D2" stroke-width="0.3" stroke-dasharray="2,6"/>
|
||||
|
||||
<!-- Center point -->
|
||||
<circle cx="280" cy="280" r="2.5" fill="#6B8F71" opacity="0.4"/>
|
||||
|
||||
<!-- Grid scale labels — positioned along axis -->
|
||||
<text x="288" y="62" font-family="Inter" font-size="9" fill="#C8C2B8" font-weight="300">100</text>
|
||||
<text x="288" y="106" font-family="Inter" font-size="9" fill="#C8C2B8" font-weight="300">80</text>
|
||||
<text x="288" y="150" font-family="Inter" font-size="9" fill="#C8C2B8" font-weight="300">60</text>
|
||||
<text x="288" y="194" font-family="Inter" font-size="9" fill="#C8C2B8" font-weight="300">40</text>
|
||||
|
||||
<!-- Axis lines — delicate -->
|
||||
<line x1="280" y1="280" x2="280" y2="55" stroke="#D4CFC6" stroke-width="0.5"/>
|
||||
<line x1="280" y1="280" x2="475" y2="392" stroke="#D4CFC6" stroke-width="0.5"/>
|
||||
<line x1="280" y1="280" x2="85" y2="392" stroke="#D4CFC6" stroke-width="0.5"/>
|
||||
|
||||
<!-- Axis endpoint markers -->
|
||||
<circle cx="280" cy="55" r="2" fill="none" stroke="#D4CFC6" stroke-width="0.6"/>
|
||||
<circle cx="475" cy="392" r="2" fill="none" stroke="#D4CFC6" stroke-width="0.6"/>
|
||||
<circle cx="85" cy="392" r="2" fill="none" stroke="#D4CFC6" stroke-width="0.6"/>
|
||||
|
||||
<!-- Axis labels with index -->
|
||||
<text x="280" y="38" font-family="Inter" font-size="12" fill="#8A857D" font-weight="500" text-anchor="middle" letter-spacing="1.5">AIME 2025</text>
|
||||
<text x="280" y="28" font-family="Inter" font-size="7" fill="#B0AAA0" text-anchor="middle" letter-spacing="0.5">Mathematical Reasoning</text>
|
||||
<text x="492" y="408" font-family="Inter" font-size="12" fill="#8A857D" font-weight="500" text-anchor="start" letter-spacing="1.5">SWE-bench</text>
|
||||
<text x="492" y="422" font-family="Inter" font-size="7" fill="#B0AAA0" text-anchor="start" letter-spacing="0.5">Software Engineering</text>
|
||||
<text x="68" y="408" font-family="Inter" font-size="12" fill="#8A857D" font-weight="500" text-anchor="end" letter-spacing="1.5">τ²-Bench</text>
|
||||
<text x="68" y="422" font-family="Inter" font-size="7" fill="#B0AAA0" text-anchor="end" letter-spacing="0.5">Agent Tasks</text>
|
||||
|
||||
<!-- GPT-4o polygon (lightest) -->
|
||||
<polygon
|
||||
points="280,96.1 371.8,333 143.8,358.7"
|
||||
fill="rgba(219,219,219,0.12)" stroke="#D4CFC6" stroke-width="1" stroke-dasharray="4,3"
|
||||
/>
|
||||
|
||||
<!-- Claude 3.5 polygon -->
|
||||
<polygon
|
||||
points="280,86 381.6,338.6 129.7,366.8"
|
||||
fill="rgba(212,165,116,0.08)" stroke="#D4A574" stroke-width="1.2"
|
||||
/>
|
||||
|
||||
<!-- GLM-4.7 polygon (prominent, sage green) -->
|
||||
<polygon
|
||||
points="280,69.5 420.6,361.2 113.5,376.2"
|
||||
fill="rgba(107,143,113,0.1)" stroke="#6B8F71" stroke-width="2"
|
||||
/>
|
||||
|
||||
<!-- Data points - GLM-4.7 (larger, prominent) -->
|
||||
<circle cx="280" cy="69.5" r="6" fill="#6B8F71" opacity="0.8"/>
|
||||
<circle cx="280" cy="69.5" r="10" fill="none" stroke="#6B8F71" stroke-width="0.6" opacity="0.3"/>
|
||||
<circle cx="420.6" cy="361.2" r="6" fill="#6B8F71" opacity="0.8"/>
|
||||
<circle cx="420.6" cy="361.2" r="10" fill="none" stroke="#6B8F71" stroke-width="0.6" opacity="0.3"/>
|
||||
<circle cx="113.5" cy="376.2" r="6" fill="#6B8F71" opacity="0.8"/>
|
||||
<circle cx="113.5" cy="376.2" r="10" fill="none" stroke="#6B8F71" stroke-width="0.6" opacity="0.3"/>
|
||||
|
||||
<!-- Data points - Claude 3.5 -->
|
||||
<circle cx="280" cy="86" r="3.5" fill="#D4A574" opacity="0.7"/>
|
||||
<circle cx="381.6" cy="338.6" r="3.5" fill="#D4A574" opacity="0.7"/>
|
||||
<circle cx="129.7" cy="366.8" r="3.5" fill="#D4A574" opacity="0.7"/>
|
||||
|
||||
<!-- Data points - GPT-4o -->
|
||||
<circle cx="280" cy="96.1" r="2.5" fill="#C8C2B8" opacity="0.6"/>
|
||||
<circle cx="371.8" cy="333" r="2.5" fill="#C8C2B8" opacity="0.6"/>
|
||||
<circle cx="143.8" cy="358.7" r="2.5" fill="#C8C2B8" opacity="0.6"/>
|
||||
|
||||
<!-- Value labels for GLM-4.7 — annotation style -->
|
||||
<line x1="280" y1="69.5" x2="316" y2="52" stroke="#6B8F71" stroke-width="0.5" opacity="0.4"/>
|
||||
<text x="320" y="50" font-family="Inter" font-size="14" fill="#6B8F71" font-weight="600">95.7</text>
|
||||
|
||||
<line x1="420.6" y1="361.2" x2="448" y2="348" stroke="#6B8F71" stroke-width="0.5" opacity="0.4"/>
|
||||
<text x="452" y="352" font-family="Inter" font-size="14" fill="#6B8F71" font-weight="600">73.8%</text>
|
||||
|
||||
<line x1="113.5" y1="376.2" x2="82" y2="392" stroke="#6B8F71" stroke-width="0.5" opacity="0.4"/>
|
||||
<text x="78" y="390" font-family="Inter" font-size="14" fill="#6B8F71" font-weight="600" text-anchor="end">87.4</text>
|
||||
|
||||
<!-- Spec annotation — bottom-right -->
|
||||
<text x="505" y="530" font-family="Inter" font-size="8" fill="#C8C2B8" font-weight="300" letter-spacing="1" text-anchor="end">Fig. 01 — Tri-axis Performance Map</text>
|
||||
</svg>
|
||||
</div>
|
||||
|
||||
<!-- Metric cards -->
|
||||
<div class="metric-cards">
|
||||
<div class="m-card">
|
||||
<div class="m-card-name">AIME 2025</div>
|
||||
<div class="m-card-type">Mathematical Reasoning</div>
|
||||
<div class="m-card-value">95.7</div>
|
||||
<div class="m-card-delta">
|
||||
<svg viewBox="0 0 10 10" fill="none"><path d="M5 2L8 7H2L5 2Z" fill="#7D9B72"/></svg>
|
||||
+7.5 vs Claude 3.5
|
||||
</div>
|
||||
<div class="m-card-competitors">
|
||||
<span class="comp-mini">Claude 3.5: <span>88.2</span></span>
|
||||
<span class="comp-mini">GPT-4o: <span>83.6</span></span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="m-card">
|
||||
<div class="m-card-name">SWE-bench Verified</div>
|
||||
<div class="m-card-type">Software Engineering</div>
|
||||
<div class="m-card-value">73.8<span class="unit">%</span></div>
|
||||
<div class="m-card-delta">
|
||||
<svg viewBox="0 0 10 10" fill="none"><path d="M5 2L8 7H2L5 2Z" fill="#7D9B72"/></svg>
|
||||
+20.5 vs Claude 3.5
|
||||
</div>
|
||||
<div class="m-card-competitors">
|
||||
<span class="comp-mini">Claude 3.5: <span>53.3%</span></span>
|
||||
<span class="comp-mini">GPT-4o: <span>48.2%</span></span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="m-card">
|
||||
<div class="m-card-name">τ²-Bench</div>
|
||||
<div class="m-card-type">Agent Task Completion</div>
|
||||
<div class="m-card-value">87.4</div>
|
||||
<div class="m-card-delta">
|
||||
<svg viewBox="0 0 10 10" fill="none"><path d="M5 2L8 7H2L5 2Z" fill="#7D9B72"/></svg>
|
||||
+8.5 vs Claude 3.5
|
||||
</div>
|
||||
<div class="m-card-competitors">
|
||||
<span class="comp-mini">Claude 3.5: <span>78.9</span></span>
|
||||
<span class="comp-mini">GPT-4o: <span>71.5</span></span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="page-indicator">07 / 24</div>
|
||||
</div>
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
BIN
.claude/skills/huashu-design/assets/showcases/ppt/ppt-takram.png
Normal file
BIN
.claude/skills/huashu-design/assets/showcases/ppt/ppt-takram.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 456 KiB |
Reference in New Issue
Block a user