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<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="DeepSeek API Arena - 全面的 LLM API 性能基准测试平台。比较不同供应商的 DeepSeek 模型性能，包括火山方舟、硅基流动、深度求索、阿里百炼和腾讯 LKE 等。提供 TTFT、TBT 和吞吐量等关键指标对比。">
<meta name="keywords" content="DeepSeek, API基准测试, LLM性能, TTFT, TBT, 吞吐量, 火山方舟, 硅基流动, 深度求索, 阿里百炼, 腾讯知识引擎, API性能对比">
<meta name="author" content="TensorChord">
<meta name="robots" content="index, follow">
<!-- Open Graph tags -->
<meta property="og:title" content="DeepSeek API Arena - LLM API 性能基准测试平台">
<meta property="og:description" content="比较评估各大供应商 DeepSeek 模型API性能的基准测试平台，提供实时性能数据分析。">
<meta property="og:type" content="website">
<meta property="og:url" content="https://tensorchord.github.io/deepseek-api-arena/">
<meta property="og:image" content="https://tensorchord.github.io/deepseek-api-arena/preview.png">
<meta property="og:site_name" content="DeepSeek API Arena">
<!-- Twitter Card tags -->
<meta name="twitter:card" content="summary_large_image">
<meta name="twitter:site" content="@tensorchord">
<meta name="twitter:title" content="DeepSeek API Arena - LLM API 性能基准测试平台">
<meta name="twitter:description" content="比较评估各大供应商 DeepSeek 模型API性能的基准测试平台，提供实时性能数据分析。">
<meta name="twitter:image" content="https://tensorchord.github.io/deepseek-api-arena/preview.png">
<!-- Schema.org markup -->
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "WebApplication",
"name": "DeepSeek API Arena",
"description": "LLM API性能基准测试平台，提供各大供应商DeepSeek模型的性能对比数据",
"url": "https://tensorchord.github.io/deepseek-api-arena/",
"provider": {
"@type": "Organization",
"name": "TensorChord",
"url": "https://github.com/tensorchord"
},
"applicationCategory": "Benchmark Tool",
"offers": {
"@type": "Offer",
"price": "0",
"priceCurrency": "USD"
}
}
</script>
<link rel="canonical" href="https://tensorchord.github.io/deepseek-api-arena/">
<title>DeepSeek API Arena - LLM API 性能基准测试平台 | 多供应商性能对比</title>
<!-- Google tag (gtag.js) -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-BB749M91RM"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-BB749M91RM');
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<!-- Existing scripts and styles -->
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
<style>
.chart-container {
width: 800px;
height: 500px; /* Increased default height */
margin: 20px auto;
padding: 10px;
border: 1px solid #eee;
border-radius: 5px;
}
.table-container {
width: 800px;
margin: 20px auto;
padding: 10px;
}
table {
width: 100%;
border-collapse: collapse;
margin-bottom: 20px;
}
th, td {
padding: 12px;
text-align: left;
border-bottom: 1px solid #ddd;
}
th {
background-color: #f5f5f5;
cursor: pointer;
user-select: none;
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th:hover {
background-color: #e8e8e8;
}
th::after {
content: '';
float: right;
margin-top: 7px;
border-width: 4px;
border-style: solid;
border-color: transparent;
visibility: hidden;
}
th.asc::after {
border-bottom-color: #666;
visibility: visible;
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th.desc::after {
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.footer-links {
margin-top: 1rem;
display: flex;
justify-content: center;
gap: 20px;
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body {
padding-top: 60px; /* Add space for fixed header */
}
/* Mobile responsive styles */
@media (max-width: 868px) {
.chart-container, .table-container, .metrics-info {
width: 95%;
margin: 10px auto;
padding: 5px;
}
table {
font-size: 14px;
}
th, td {
padding: 8px 4px;
}
.header-content {
padding: 0 10px;
}
.social-links {
gap: 10px;
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h1 {
font-size: 24px;
margin: 20px 0;
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h2 {
font-size: 20px;
margin: 15px 0;
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.metric-desc {
font-size: 14px;
}
.footer {
padding: 1rem;
}
.footer-links {
flex-direction: column;
gap: 10px;
}
table {
display: block;
overflow-x: auto;
white-space: nowrap;
}
/* Hide long Chinese names on mobile */
td:first-child {
max-width: 150px;
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
}
.chart-container {
width: 95%;
height: 400px; /* Increased height for mobile */
margin: 15px auto;
padding: 10px 0;
}
canvas {
width: 100% !important;
height: 400px !important; /* Set fixed height for canvas */
min-height: 400px !important; /* Ensure minimum height */
}
th[data-sort="throughput"] {
white-space: normal;
line-height: 1.2;
}
th, td {
padding: 8px 2px; /* Reduced padding for more compact layout */
font-size: 12px; /* Smaller font size to fit more columns */
}
/* Adjust column widths for mobile */
td:first-child {
max-width: 120px; /* Reduced width for provider column */
}
}
.cached-price {
font-size: 0.85em;
color: #666;
margin-top: 4px;
display: block;
}
/* Update best-metric class to only use bold */
.best-metric {
font-weight: 900;
}
</style>
</head>
<body itemscope itemtype="https://schema.org/WebPage">
<header class="header">
<div class="header-content">
<h3 style="margin: 0;">DeepSeek API Arena</h3>
<div class="social-links">
<a href="https://github.com/tensorchord/deepseek-api-arena" target="_blank">
<svg height="20" width="20" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 98 96"><path fill="currentColor" fill-rule="evenodd" clip-rule="evenodd" d="M48.854 0C21.839 0 0 22 0 49.217c0 21.756 13.993 40.172 33.405 46.69 2.427.49 3.316-1.059 3.316-2.362 0-1.141-.08-5.052-.08-9.127-13.59 2.934-16.42-5.867-16.42-5.867-2.184-5.704-5.42-7.17-5.42-7.17-4.448-3.015.324-3.015.324-3.015 4.934.326 7.523 5.052 7.523 5.052 4.367 7.496 11.404 5.378 14.235 4.074.404-3.178 1.699-5.378 3.074-6.6-10.839-1.141-22.243-5.378-22.243-24.283 0-5.378 1.94-9.778 5.014-13.2-.485-1.222-2.184-6.275.486-13.038 0 0 4.125-1.304 13.426 5.052a46.97 46.97 0 0 1 12.214-1.63c4.125 0 8.33.571 12.213 1.63 9.302-6.356 13.427-5.052 13.427-5.052 2.67 6.763.97 11.816.485 13.038 3.155 3.422 5.015 7.822 5.015 13.2 0 18.905-11.404 23.06-22.324 24.283 1.78 1.548 3.316 4.481 3.316 9.126 0 6.6-.08 11.897-.08 13.526 0 1.304.89 2.853 3.316 2.364 19.412-6.52 33.405-24.935 33.405-46.691C97.707 22 75.788 0 48.854 0z"/></svg>
GitHub
</a>
<a href="https://twitter.com/tensorchord" target="_blank">
<svg height="20" width="20" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path fill="currentColor" d="M18.244 2.25h3.308l-7.227 8.26 8.502 11.24H16.17l-5.214-6.817L4.99 21.75H1.68l7.73-8.835L1.254 2.25H8.08l4.713 6.231zm-1.161 17.52h1.833L7.084 4.126H5.117z"/></svg>
Twitter
</a>
</div>
</div>
</header>
<main>
<article itemscope itemtype="https://schema.org/TechArticle">
<div class="metrics-info">
<h1 itemprop="headline">DeepSeek API Arena</h1>
<div class="metric-desc" itemprop="description">
这是一个用于测试不同供应商 DeepSeek R1 模型推理性能的 benchmark。用于比较和评估不同供应商部署的 DeepSeek R1 模型的推理能力和效率。
</div>
</div>
<div class="metrics-info">
<h2>性能指标说明</h2>
<div class="metric-item">
<div class="metric-title">TTFT (Time To First Token)</div>
<div class="metric-desc">该指标显示了用户在看到模型输出之前需要等待的时间。这是从提交查询到接收到第一个 token（如果响应不为空）所花费的时间。TTFT 越小，用户等待时间越短，体验越好。</div>
</div>
<div class="metric-item">
<div class="metric-title">TBT（Time Between Tokens）</div>
<div class="metric-desc">该指标表示生成相邻 token 之间的平均时间间隔。反映了模型生成文本的连续性和流畅度，数值越低表示生成速度越快，用户获得完整回复的时间越短。</div>
</div>
<div class="metric-item">
<div class="metric-title">Throughput (吞吐量)</div>
<div class="metric-desc">基于 TBT 计算的每秒生成 token 数量(1/TBT)。这个指标直观地反映了模型的实际生成效率，数值越高表示生成速度越快，单个用户每秒能产生更多的文本内容。</div>
</div>
</div>
<div class="table-container">
<h2>最新数据 ({{ data.dates[-1] }})</h2>
<table id="resultsTable">
<thead>
<tr>
<th data-sort="provider">供应商</th>
<th data-sort="input_price" title="每百万输入 token 的价格">输入<br>(1M tokens)</th>
<th data-sort="output_price" title="每百万输出 token 的价格">输出<br>(1M tokens)</th>
<th data-sort="tool_calling" title="是否支持工具调用能力">工具调用</th>
<th data-sort="ttft" title="从提交查询到接收到第一个 token 的时间">TTFT (s)</th>
<th data-sort="tbt" title="生成相邻 token 之间的平均时间">TBT (ms)</th>
<th data-sort="throughput" title="每秒生成的 token 数 (1000/TBT)">吞吐<br>(tokens/s)</th>
</tr>
</thead>
<tbody>
{% set min_ttft = namespace(value=100000) %}
{% set min_tbt = namespace(value=100000) %}
{% set max_throughput = namespace(value=0) %}
{% for provider in data.providers %}
{% if data.ttft[provider][-1] < min_ttft.value %}
{% set min_ttft.value = data.ttft[provider][-1] %}
{% endif %}
{% if data.tbt[provider][-1] < min_tbt.value %}
{% set min_tbt.value = data.tbt[provider][-1] %}
{% endif %}
{% set throughput = 1.0 / data.tbt[provider][-1] if data.tbt[provider][-1] > 0 else 0 %}
{% if throughput > max_throughput.value %}
{% set max_throughput.value = throughput %}
{% endif %}
{% endfor %}
{% for provider in data.providers %}
<tr>
<td>{{ {
'Ark': '火山方舟',
'siliconflow': '硅基流动',
'DeepSeek': '深度求索',
'Bailian': '阿里百炼',
'LKE': '腾讯知识引擎原子能力'
}[provider] }}</td>
<td>¥{{ "%.2f" | format(pricing.input_prices[provider]) }}
{% if provider in pricing.input_cache_prices %}
<span class="cached-price">(¥{{ "%.2f" | format(pricing.input_cache_prices[provider]) }} cached)</span>
{% endif %}
</td>
<td>¥{{ "%.2f" | format(pricing.output_prices[provider]) }}</td>
<td>
{% if pricing.tool_calling[provider] %}
<span style="color: #22c55e">✓</span>
{% else %}
<span style="color: #ef4444">✗</span>
{% endif %}
</td>
<td>
{% if data.ttft[provider][-1] > 0 %}
<span {% if data.ttft[provider][-1] == min_ttft.value %}class="best-metric"{% endif %}>
{{ "%.2f" | format(data.ttft[provider][-1]) }}
</span>
{% else %}
N/A
{% endif %}
</td>
<td>
{% if data.tbt[provider][-1] > 0 %}
<span {% if data.tbt[provider][-1] == min_tbt.value %}class="best-metric"{% endif %}>
{{ "%.2f" | format(data.tbt[provider][-1] * 1000) }}
</span>
{% else %}
N/A
{% endif %}
</td>
<td>
{% if data.tbt[provider][-1] > 0 %}
<span {% if (1.0 / data.tbt[provider][-1]) == max_throughput.value %}class="best-metric"{% endif %}>
{{ "%.2f" | format(1.0 / data.tbt[provider][-1]) }}
</span>
{% else %}
N/A
{% endif %}
</td>
</tr>
{% endfor %}
</tbody>
</table>
</div>
<div class="chart-container">
<canvas id="ttftChart"></canvas>
</div>
<div class="chart-container">
<canvas id="tbtChart"></canvas>
</div>
<div class="chart-container">
<canvas id="qpsChart"></canvas>
</div>
</article>
</main>
<script>
const data = {{ data | tojson }};
const providerNames = {
'Ark': 'Ark (火山方舟)',
'siliconflow': 'siliconflow (硅基流动)',
'DeepSeek': 'DeepSeek (深度求索)',
'Bailian': 'Bailian (阿里百炼)',
'LKE': 'LKE (腾讯知识引擎原子能力)'
};
// Calculate Throughput from TBT
const throughputData = {};
for (const provider of data.providers) {
throughputData[provider] = data.tbt[provider].map((tbt, idx) => ({
x: data.dates[idx],
y: tbt > 0 ? (1.0 / tbt) : null
}));
}
function createChart(ctx, label, dataKey, yAxisLabel, dataSource) {
const sourceData = dataSource || data[dataKey];
const datasets = data.providers.map(provider => {
let chartData;
if (dataKey === 'throughput') {
chartData = sourceData[provider];
} else if (dataKey === 'tbt') {
// Convert TBT to milliseconds for chart
chartData = sourceData[provider].map((val, idx) => ({
x: data.dates[idx],
y: val > 0 ? val * 1000 : null
}));
} else {
chartData = sourceData[provider].map((val, idx) => ({
x: data.dates[idx],
y: val > 0 ? val : null
}));
}
return {
label: providerNames[provider] || provider,
data: chartData,
fill: false,
tension: 0.1,
borderWidth: 2
};
});
return new Chart(ctx, {
type: 'line',
data: {
datasets: datasets
},
options: {
responsive: true,
maintainAspectRatio: false,
plugins: {
title: {
display: true,
text: label,
font: {
size: 16
}
},
legend: {
position: 'bottom',
labels: {
boxWidth: 12,
padding: 10,
font: {
size: window.innerWidth < 868 ? 10 : 12
}
}
}
},
scales: {
y: {
title: {
display: true,
text: yAxisLabel,
font: {
size: window.innerWidth < 868 ? 10 : 12
}
},
beginAtZero: true,
ticks: {
font: {
size: window.innerWidth < 868 ? 10 : 12
}
}
},
x: {
type: 'category',
title: {
display: true,
text: 'Date',
font: {
size: window.innerWidth < 868 ? 10 : 12
}
},
ticks: {
maxRotation: 45,
minRotation: 45,
font: {
size: window.innerWidth < 868 ? 10 : 12
}
}
}
}
}
});
}
createChart(
document.getElementById('ttftChart'),
'Time To First Token (TTFT)',
'ttft',
'Seconds'
);
createChart(
document.getElementById('tbtChart'),
'Token Between Time (TBT)',
'tbt',
'Milliseconds'
);
createChart(
document.getElementById('qpsChart'),
'Throughput',
'throughput',
'Tokens/Second',
throughputData
);
// Function to sort table
function sortTable(headerCell, initialSort = false) {
const table = headerCell.closest('table');
const tbody = table.querySelector('tbody');
const rows = Array.from(tbody.querySelectorAll('tr'));
const sortColumn = headerCell.dataset.sort;
const currentIsAsc = headerCell.classList.contains('asc');
// Remove existing sort classes
table.querySelectorAll('th').forEach(th => {
th.classList.remove('asc', 'desc');
});
// Add new sort class
headerCell.classList.add(initialSort ? 'asc' : (currentIsAsc ? 'desc' : 'asc'));
// Sort rows
const sortedRows = rows.sort((a, b) => {
const aCol = a.querySelector(`td:nth-child(${headerCell.cellIndex + 1})`);
const bCol = b.querySelector(`td:nth-child(${headerCell.cellIndex + 1})`);
let aValue, bValue;
if (sortColumn === 'provider') {
aValue = aCol.textContent.trim();
bValue = bCol.textContent.trim();
return initialSort || !currentIsAsc ?
aValue.localeCompare(bValue) :
bValue.localeCompare(aValue);
} else {
aValue = parseFloat(aCol.textContent);
bValue = parseFloat(bCol.textContent);
return initialSort || !currentIsAsc ? aValue - bValue : bValue - aValue;
}
});
// Clear and re-add sorted rows
tbody.innerHTML = '';
sortedRows.forEach(row => tbody.appendChild(row));
}
// Add table sorting functionality
document.querySelectorAll('#resultsTable th').forEach(headerCell => {
headerCell.addEventListener('click', () => sortTable(headerCell));
});
// Sort by TTFT by default on page load
window.addEventListener('load', () => {
const ttftHeader = document.querySelector('#resultsTable th[data-sort="ttft"]');
if (ttftHeader) {
sortTable(ttftHeader, true);
}
});
</script>
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