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阿里云服务器租用价格包含三部分：即云服务器实例与cpu内存配置费用、磁盘价格、网络宽带价格，不过不同的地域价格有所差别，云服务器详细租用价格表以阿里云价格计算器为收费标准，包含不同计费模式下的云服务器收费价格等信息：
便宜租用活动推荐: 针对阿里云ECS服务器的活动，目前阿里云有两大活动值得重点参考，即：
必抢爆款最新爆款产品，每日10:00限量抢购。
阿里云小站：集阿里云服务器新购、复购+升级代金券和新用户特惠、爆款产品3折起（老用户专享）以及阿里云热门活动入口为一体的官方综合平台，优惠上云就来阿里云小站。
<div class="image-view" data-height="308" data-width="1183"><img data-original-filesize="142333" data-original-format="image/jpeg" data-original-height="308" data-original-src="https://upload-images.jianshu.io/upload_images/19316870-11a3d0d160fafe77.jpg" data-original-width="1183"/>
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云服务器价格及收费标准导航
阿里云服务器的租用价格主要是由实例与cpu内存配置+磁盘价格+网络宽带价格三部分组成，以下为最新收费参考指南：
一：实例配置价格表
实例配置价格表
阿里云服务器配置分为入门级配置和企业级配置，系统分为windows和linux系统，计费方式可以按量（小时）计费、按月计费或者年付等计费方式，本文中的价格表是以Windows、经典网络、支持I/O优化为例：
1、阿里云服务器租用价格表（实例类型、cpu与内存价格）
<table>
<thead>
<tr>
<th>实例规格</th>
<th>vCPU</th>
<th>内存(GB)</th>
<th>按量(小时)</th>
<th>标准目录月价</th>
<th>优惠月价</th>
<th>年付月价</th>
<th>3年付月价</th>
<th>5年付月价</th>
</tr>
</thead>
<tbody>
<tr>
<td>突发性能型 ecs.t6-c2m1.large</td>
<td>2</td>
<td>1</td>
<td>0.059</td>
<td>17</td>
<td>17</td>
<td>14.45</td>
<td>9.35</td>
<td>6.46</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.118</td>
<td>34</td>
<td>34</td>
<td>28.9</td>
<td>18.7</td>
<td>12.92</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.236</td>
<td>68</td>
<td>68</td>
<td>57.8</td>
<td>37.4</td>
<td>25.84</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.472</td>
<td>136</td>
<td>136</td>
<td>115.6</td>
<td>74.8</td>
<td>51.68</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.944</td>
<td>272</td>
<td>272</td>
<td>231.2</td>
<td>149.6</td>
<td>103.36</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.889</td>
<td>544</td>
<td>544</td>
<td>462.4</td>
<td>299.2</td>
<td>206.72</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m1.small</td>
<td>1</td>
<td>1</td>
<td>0.1</td>
<td>29.7</td>
<td>29.7</td>
<td>25.25</td>
<td>16.33</td>
<td>11.29</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.small</td>
<td>1</td>
<td>2</td>
<td>0.19</td>
<td>54</td>
<td>54</td>
<td>45.9</td>
<td>29.7</td>
<td>20.52</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.small</td>
<td>1</td>
<td>4</td>
<td>0.28</td>
<td>81</td>
<td>81</td>
<td>68.85</td>
<td>44.55</td>
<td>30.78</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.38</td>
<td>108</td>
<td>108</td>
<td>91.8</td>
<td>59.4</td>
<td>41.04</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.56</td>
<td>162</td>
<td>162</td>
<td>137.7</td>
<td>89.1</td>
<td>61.56</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.75</td>
<td>216</td>
<td>216</td>
<td>183.6</td>
<td>118.8</td>
<td>82.08</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.13</td>
<td>324</td>
<td>324</td>
<td>275.4</td>
<td>178.2</td>
<td>123.12</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.5</td>
<td>432</td>
<td>432</td>
<td>367.2</td>
<td>237.6</td>
<td>164.16</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.25</td>
<td>648</td>
<td>648</td>
<td>550.8</td>
<td>356.4</td>
<td>246.24</td>
</tr>
<tr>
<td>通用型 ecs.g6.large</td>
<td>2</td>
<td>8</td>
<td>0.45</td>
<td>216</td>
<td>216</td>
<td>183.6</td>
<td>118.8</td>
<td>82.08</td>
</tr>
<tr>
<td>通用型 ecs.g6.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.9</td>
<td>432</td>
<td>432</td>
<td>367.2</td>
<td>237.6</td>
<td>164.16</td>
</tr>
<tr>
<td>通用型 ecs.g6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.8</td>
<td>864</td>
<td>864</td>
<td>734.4</td>
<td>475.2</td>
<td>328.32</td>
</tr>
<tr>
<td>通用型 ecs.g6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>2.7</td>
<td>1296</td>
<td>1296</td>
<td>1101.6</td>
<td>712.8</td>
<td>492.48</td>
</tr>
<tr>
<td>通用型 ecs.g6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.6</td>
<td>1728</td>
<td>1728</td>
<td>1468.8</td>
<td>950.4</td>
<td>656.64</td>
</tr>
<tr>
<td>通用型 ecs.g6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>5.4</td>
<td>2592</td>
<td>2592</td>
<td>2203.2</td>
<td>1425.6</td>
<td>984.96</td>
</tr>
<tr>
<td>通用型 ecs.g6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>7.2</td>
<td>3456</td>
<td>3456</td>
<td>2937.6</td>
<td>1900.8</td>
<td>1313.28</td>
</tr>
<tr>
<td>通用型 ecs.g6.13xlarge</td>
<td>52</td>
<td>192</td>
<td>11.7</td>
<td>5616</td>
<td>5616</td>
<td>4773.6</td>
<td>3088.8</td>
<td>2134.08</td>
</tr>
<tr>
<td>通用型 ecs.g6.26xlarge</td>
<td>104</td>
<td>384</td>
<td>23.4</td>
<td>11232</td>
<td>11232</td>
<td>9547.2</td>
<td>6177.6</td>
<td>4268.16</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.large</td>
<td>2</td>
<td>8</td>
<td>0.55</td>
<td>264</td>
<td>264</td>
<td>224.4</td>
<td>145.2</td>
<td>100.32</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.1</td>
<td>528</td>
<td>528</td>
<td>448.8</td>
<td>290.4</td>
<td>200.64</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.2</td>
<td>1056</td>
<td>1056</td>
<td>897.6</td>
<td>580.8</td>
<td>401.28</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.4</td>
<td>2112</td>
<td>2112</td>
<td>1795.2</td>
<td>1161.6</td>
<td>802.56</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.8xlarge</td>
<td>32</td>
<td>128</td>
<td>8.8</td>
<td>4224</td>
<td>4224</td>
<td>3590.4</td>
<td>2323.2</td>
<td>1605.12</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.13xlarge</td>
<td>52</td>
<td>192</td>
<td>14.3</td>
<td>6864</td>
<td>6864</td>
<td>5834.4</td>
<td>3775.2</td>
<td>2608.32</td>
</tr>
<tr>
<td>计算型 ecs.c6.large</td>
<td>2</td>
<td>4</td>
<td>0.35</td>
<td>168.3</td>
<td>168.3</td>
<td>143.06</td>
<td>92.56</td>
<td>63.95</td>
</tr>
<tr>
<td>计算型 ecs.c6.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.7</td>
<td>336.6</td>
<td>336.6</td>
<td>286.11</td>
<td>185.13</td>
<td>127.91</td>
</tr>
<tr>
<td>计算型 ecs.c6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.4</td>
<td>673.2</td>
<td>673.2</td>
<td>572.22</td>
<td>370.26</td>
<td>255.82</td>
</tr>
<tr>
<td>计算型 ecs.c6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.1</td>
<td>1009.8</td>
<td>1009.8</td>
<td>858.33</td>
<td>555.39</td>
<td>383.72</td>
</tr>
<tr>
<td>计算型 ecs.c6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.81</td>
<td>1346.4</td>
<td>1346.4</td>
<td>1144.44</td>
<td>740.52</td>
<td>511.63</td>
</tr>
<tr>
<td>计算型 ecs.c6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>4.21</td>
<td>2019.6</td>
<td>2019.6</td>
<td>1716.66</td>
<td>1110.78</td>
<td>767.45</td>
</tr>
<tr>
<td>计算型 ecs.c6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>5.61</td>
<td>2692.8</td>
<td>2692.8</td>
<td>2288.88</td>
<td>1481.04</td>
<td>1023.26</td>
</tr>
<tr>
<td>计算型 ecs.c6.13xlarge</td>
<td>52</td>
<td>96</td>
<td>9.12</td>
<td>4375.8</td>
<td>4375.8</td>
<td>3719.43</td>
<td>2406.69</td>
<td>1662.8</td>
</tr>
<tr>
<td>计算型 ecs.c6.26xlarge</td>
<td>104</td>
<td>192</td>
<td>18.23</td>
<td>8751.6</td>
<td>8751.6</td>
<td>7438.86</td>
<td>4813.38</td>
<td>3325.61</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.large</td>
<td>2</td>
<td>4</td>
<td>0.41</td>
<td>197</td>
<td>197</td>
<td>167.45</td>
<td>108.35</td>
<td>74.86</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.821</td>
<td>394</td>
<td>394</td>
<td>334.9</td>
<td>216.7</td>
<td>149.72</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.642</td>
<td>788</td>
<td>788</td>
<td>669.8</td>
<td>433.4</td>
<td>299.44</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.283</td>
<td>1576</td>
<td>1576</td>
<td>1339.6</td>
<td>866.8</td>
<td>598.88</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.8xlarge</td>
<td>32</td>
<td>64</td>
<td>6.567</td>
<td>3152</td>
<td>3152</td>
<td>2679.2</td>
<td>1733.6</td>
<td>1197.76</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.13xlarge</td>
<td>52</td>
<td>96</td>
<td>10.671</td>
<td>5122</td>
<td>5122</td>
<td>4353.7</td>
<td>2817.1</td>
<td>1946.36</td>
</tr>
<tr>
<td>内存型 ecs.r6.large</td>
<td>2</td>
<td>16</td>
<td>0.6</td>
<td>286.2</td>
<td>286.2</td>
<td>243.27</td>
<td>157.41</td>
<td>108.76</td>
</tr>
<tr>
<td>内存型 ecs.r6.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.19</td>
<td>572.4</td>
<td>572.4</td>
<td>486.54</td>
<td>314.82</td>
<td>217.51</td>
</tr>
<tr>
<td>内存型 ecs.r6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.39</td>
<td>1144.8</td>
<td>1144.8</td>
<td>973.08</td>
<td>629.64</td>
<td>435.02</td>
</tr>
<tr>
<td>内存型 ecs.r6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>3.58</td>
<td>1717.2</td>
<td>1717.2</td>
<td>1459.62</td>
<td>944.46</td>
<td>652.54</td>
</tr>
<tr>
<td>内存型 ecs.r6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>4.77</td>
<td>2289.6</td>
<td>2289.6</td>
<td>1946.16</td>
<td>1259.28</td>
<td>870.05</td>
</tr>
<tr>
<td>内存型 ecs.r6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>7.16</td>
<td>3434.4</td>
<td>3434.4</td>
<td>2919.24</td>
<td>1888.92</td>
<td>1305.07</td>
</tr>
<tr>
<td>内存型 ecs.r6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>9.54</td>
<td>4579.2</td>
<td>4579.2</td>
<td>3892.32</td>
<td>2518.56</td>
<td>1740.1</td>
</tr>
<tr>
<td>内存型 ecs.r6.13xlarge</td>
<td>52</td>
<td>384</td>
<td>15.5</td>
<td>7441.2</td>
<td>7441.2</td>
<td>6325.02</td>
<td>4092.66</td>
<td>2827.66</td>
</tr>
<tr>
<td>内存型 ecs.r6.26xlarge</td>
<td>104</td>
<td>768</td>
<td>31.01</td>
<td>14882.4</td>
<td>14882.4</td>
<td>12650.04</td>
<td>8185.32</td>
<td>5655.31</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.large</td>
<td>2</td>
<td>16</td>
<td>0.729</td>
<td>350</td>
<td>350</td>
<td>297.5</td>
<td>192.5</td>
<td>133</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.458</td>
<td>700</td>
<td>700</td>
<td>595</td>
<td>385</td>
<td>266</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.917</td>
<td>1400</td>
<td>1400</td>
<td>1190</td>
<td>770</td>
<td>532</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.833</td>
<td>2800</td>
<td>2800</td>
<td>2380</td>
<td>1540</td>
<td>1064</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.8xlarge</td>
<td>32</td>
<td>256</td>
<td>11.667</td>
<td>5600</td>
<td>5600</td>
<td>4760</td>
<td>3080</td>
<td>2128</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.13xlarge</td>
<td>52</td>
<td>384</td>
<td>18.958</td>
<td>9100</td>
<td>9100</td>
<td>7735</td>
<td>5005</td>
<td>3458</td>
</tr>
<tr>
<td>内存增强型 ecs.re6.13xlarge</td>
<td>52</td>
<td>768</td>
<td>23.108</td>
<td>11091.6</td>
<td>11091.6</td>
<td>9427.86</td>
<td>6100.38</td>
<td>4214.81</td>
</tr>
<tr>
<td>内存增强型 ecs.re6.26xlarge</td>
<td>104</td>
<td>1536</td>
<td>46.215</td>
<td>22183.2</td>
<td>22183.2</td>
<td>18855.72</td>
<td>12200.76</td>
<td>8429.62</td>
</tr>
<tr>
<td>内存增强型 ecs.re6.52xlarge</td>
<td>208</td>
<td>3072</td>
<td>92.43</td>
<td>44366.4</td>
<td>44366.4</td>
<td>37711.44</td>
<td>24401.52</td>
<td>16859.23</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.large</td>
<td>2</td>
<td>4</td>
<td>0.404</td>
<td>194</td>
<td>194</td>
<td>164.9</td>
<td>106.7</td>
<td>73.72</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.808</td>
<td>388</td>
<td>388</td>
<td>329.8</td>
<td>213.4</td>
<td>147.44</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.617</td>
<td>776</td>
<td>776</td>
<td>659.6</td>
<td>426.8</td>
<td>294.88</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.425</td>
<td>1164</td>
<td>1164</td>
<td>989.4</td>
<td>640.2</td>
<td>442.32</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.233</td>
<td>1552</td>
<td>1552</td>
<td>1319.2</td>
<td>853.6</td>
<td>589.76</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>4.85</td>
<td>2328</td>
<td>2328</td>
<td>1978.8</td>
<td>1280.4</td>
<td>884.64</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>6.467</td>
<td>3104</td>
<td>3104</td>
<td>2638.4</td>
<td>1707.2</td>
<td>1179.52</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.10xlarge</td>
<td>40</td>
<td>96</td>
<td>8.083</td>
<td>3880</td>
<td>3880</td>
<td>3298</td>
<td>2134</td>
<td>1474.4</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.16xlarge</td>
<td>64</td>
<td>128</td>
<td>12.933</td>
<td>6208</td>
<td>6208</td>
<td>5276.8</td>
<td>3414.4</td>
<td>2359.04</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.20xlarge</td>
<td>80</td>
<td>192</td>
<td>16.167</td>
<td>7760</td>
<td>7760</td>
<td>6596</td>
<td>4268</td>
<td>2948.8</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.large</td>
<td>2</td>
<td>8</td>
<td>0.496</td>
<td>238</td>
<td>238</td>
<td>202.3</td>
<td>130.9</td>
<td>90.44</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.992</td>
<td>476</td>
<td>476</td>
<td>404.6</td>
<td>261.8</td>
<td>180.88</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.983</td>
<td>952</td>
<td>952</td>
<td>809.2</td>
<td>523.6</td>
<td>361.76</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>2.975</td>
<td>1428</td>
<td>1428</td>
<td>1213.8</td>
<td>785.4</td>
<td>542.64</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.967</td>
<td>1904</td>
<td>1904</td>
<td>1618.4</td>
<td>1047.2</td>
<td>723.52</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>5.95</td>
<td>2856</td>
<td>2856</td>
<td>2427.6</td>
<td>1570.8</td>
<td>1085.28</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>7.933</td>
<td>3808</td>
<td>3808</td>
<td>3236.8</td>
<td>2094.4</td>
<td>1447.04</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.10xlarge</td>
<td>40</td>
<td>192</td>
<td>9.917</td>
<td>4760</td>
<td>4760</td>
<td>4046</td>
<td>2618</td>
<td>1808.8</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.16xlarge</td>
<td>64</td>
<td>256</td>
<td>15.867</td>
<td>7616</td>
<td>7616</td>
<td>6473.6</td>
<td>4188.8</td>
<td>2894.08</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.20xlarge</td>
<td>80</td>
<td>384</td>
<td>19.833</td>
<td>9520</td>
<td>9520</td>
<td>8092</td>
<td>5236</td>
<td>3617.6</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.large</td>
<td>2</td>
<td>16</td>
<td>0.656</td>
<td>315</td>
<td>315</td>
<td>267.75</td>
<td>173.25</td>
<td>119.7</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.313</td>
<td>630</td>
<td>630</td>
<td>535.5</td>
<td>346.5</td>
<td>239.4</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.625</td>
<td>1260</td>
<td>1260</td>
<td>1071</td>
<td>693</td>
<td>478.8</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>3.938</td>
<td>1890</td>
<td>1890</td>
<td>1606.5</td>
<td>1039.5</td>
<td>718.2</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.25</td>
<td>2520</td>
<td>2520</td>
<td>2142</td>
<td>1386</td>
<td>957.6</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>7.875</td>
<td>3780</td>
<td>3780</td>
<td>3213</td>
<td>2079</td>
<td>1436.4</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>10.5</td>
<td>5040</td>
<td>5040</td>
<td>4284</td>
<td>2772</td>
<td>1915.2</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.10xlarge</td>
<td>40</td>
<td>384</td>
<td>13.125</td>
<td>6300</td>
<td>6300</td>
<td>5355</td>
<td>3465</td>
<td>2394</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.16xlarge</td>
<td>64</td>
<td>512</td>
<td>21</td>
<td>10080</td>
<td>10080</td>
<td>8568</td>
<td>5544</td>
<td>3830.4</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.20xlarge</td>
<td>80</td>
<td>768</td>
<td>26.25</td>
<td>12600</td>
<td>12600</td>
<td>10710</td>
<td>6930</td>
<td>4788</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c4g1.xlarge</td>
<td>4</td>
<td>15</td>
<td>10.46</td>
<td>3013</td>
<td>3013</td>
<td>2561.05</td>
<td>1657.15</td>
<td>1144.94</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c8g1.2xlarge</td>
<td>8</td>
<td>31</td>
<td>12.6</td>
<td>3629</td>
<td>3629</td>
<td>3084.65</td>
<td>1995.95</td>
<td>1379.02</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c16g1.4xlarge</td>
<td>16</td>
<td>62</td>
<td>14.77</td>
<td>4253</td>
<td>4253</td>
<td>3615.05</td>
<td>2339.15</td>
<td>1616.14</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.6xlarge</td>
<td>24</td>
<td>93</td>
<td>15.47</td>
<td>4455</td>
<td>4455</td>
<td>3786.75</td>
<td>2450.25</td>
<td>1692.9</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.12xlarge</td>
<td>48</td>
<td>186</td>
<td>30.94</td>
<td>8910</td>
<td>8910</td>
<td>7573.5</td>
<td>4900.5</td>
<td>3385.8</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.24xlarge</td>
<td>96</td>
<td>372</td>
<td>61.88</td>
<td>17820</td>
<td>17820</td>
<td>15147</td>
<td>9801</td>
<td>6771.6</td>
</tr>
<tr>
<td>通用型 ecs.g5.large</td>
<td>2</td>
<td>8</td>
<td>0.8</td>
<td>230</td>
<td>230</td>
<td>195.5</td>
<td>126.5</td>
<td>87.4</td>
</tr>
<tr>
<td>通用型 ecs.g5.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.6</td>
<td>460</td>
<td>460</td>
<td>391</td>
<td>253</td>
<td>174.8</td>
</tr>
<tr>
<td>通用型 ecs.g5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.19</td>
<td>920</td>
<td>920</td>
<td>782</td>
<td>506</td>
<td>349.6</td>
</tr>
<tr>
<td>通用型 ecs.g5.3xlarge</td>
<td>12</td>
<td>48</td>
<td>4.79</td>
<td>1380</td>
<td>1380</td>
<td>1173</td>
<td>759</td>
<td>524.4</td>
</tr>
<tr>
<td>通用型 ecs.g5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.39</td>
<td>1840</td>
<td>1840</td>
<td>1564</td>
<td>1012</td>
<td>699.2</td>
</tr>
<tr>
<td>通用型 ecs.g5.6xlarge</td>
<td>24</td>
<td>96</td>
<td>9.58</td>
<td>2760</td>
<td>2760</td>
<td>2346</td>
<td>1518</td>
<td>1048.8</td>
</tr>
<tr>
<td>通用型 ecs.g5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>12.78</td>
<td>3680</td>
<td>3680</td>
<td>3128</td>
<td>2024</td>
<td>1398.4</td>
</tr>
<tr>
<td>通用型 ecs.g5.16xlarge</td>
<td>64</td>
<td>256</td>
<td>25.56</td>
<td>7360</td>
<td>7360</td>
<td>6256</td>
<td>4048</td>
<td>2796.8</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.large</td>
<td>2</td>
<td>8</td>
<td>0.649</td>
<td>311.75</td>
<td>311.75</td>
<td>264.99</td>
<td>171.46</td>
<td>118.46</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.299</td>
<td>623.5</td>
<td>623.5</td>
<td>529.98</td>
<td>342.92</td>
<td>236.93</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.33</td>
<td>1247</td>
<td>1247</td>
<td>1059.95</td>
<td>685.85</td>
<td>473.86</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>8.66</td>
<td>2494</td>
<td>2494</td>
<td>2119.9</td>
<td>1371.7</td>
<td>947.72</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>17.32</td>
<td>4988</td>
<td>4988</td>
<td>4239.8</td>
<td>2743.4</td>
<td>1895.44</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>31.2</td>
<td>8992</td>
<td>8992</td>
<td>7643.2</td>
<td>4945.6</td>
<td>3416.96</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.18xlarge</td>
<td>72</td>
<td>288</td>
<td>35.1</td>
<td>10116</td>
<td>10116</td>
<td>8598.6</td>
<td>5563.8</td>
<td>3844.08</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.large</td>
<td>2</td>
<td>2</td>
<td>0.53</td>
<td>153</td>
<td>153</td>
<td>130.05</td>
<td>84.15</td>
<td>58.14</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.xlarge</td>
<td>4</td>
<td>4</td>
<td>1.06</td>
<td>306</td>
<td>306</td>
<td>260.1</td>
<td>168.3</td>
<td>116.28</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.2xlarge</td>
<td>8</td>
<td>8</td>
<td>2.13</td>
<td>612</td>
<td>612</td>
<td>520.2</td>
<td>336.6</td>
<td>232.56</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.3xlarge</td>
<td>12</td>
<td>12</td>
<td>3.19</td>
<td>918</td>
<td>918</td>
<td>780.3</td>
<td>504.9</td>
<td>348.84</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.4xlarge</td>
<td>16</td>
<td>16</td>
<td>4.25</td>
<td>1224</td>
<td>1224</td>
<td>1040.4</td>
<td>673.2</td>
<td>465.12</td>
</tr>
<tr>
<td>计算型 ecs.c5.large</td>
<td>2</td>
<td>4</td>
<td>0.56</td>
<td>161.1</td>
<td>161.1</td>
<td>136.94</td>
<td>88.61</td>
<td>61.22</td>
</tr>
<tr>
<td>计算型 ecs.c5.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.12</td>
<td>322.2</td>
<td>322.2</td>
<td>273.87</td>
<td>177.21</td>
<td>122.44</td>
</tr>
<tr>
<td>计算型 ecs.c5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.24</td>
<td>644.4</td>
<td>644.4</td>
<td>547.74</td>
<td>354.42</td>
<td>244.87</td>
</tr>
<tr>
<td>计算型 ecs.c5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.36</td>
<td>966.6</td>
<td>966.6</td>
<td>821.61</td>
<td>531.63</td>
<td>367.31</td>
</tr>
<tr>
<td>计算型 ecs.c5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.48</td>
<td>1288.8</td>
<td>1288.8</td>
<td>1095.48</td>
<td>708.84</td>
<td>489.74</td>
</tr>
<tr>
<td>计算型 ecs.c5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>6.71</td>
<td>1933.2</td>
<td>1933.2</td>
<td>1643.22</td>
<td>1063.26</td>
<td>734.62</td>
</tr>
<tr>
<td>计算型 ecs.c5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>8.95</td>
<td>2577.6</td>
<td>2577.6</td>
<td>2190.96</td>
<td>1417.68</td>
<td>979.49</td>
</tr>
<tr>
<td>计算型 ecs.c5.16xlarge</td>
<td>64</td>
<td>128</td>
<td>17.9</td>
<td>5155.2</td>
<td>5155.2</td>
<td>4381.92</td>
<td>2835.36</td>
<td>1958.98</td>
</tr>
<tr>
<td>内存型 ecs.r5.large</td>
<td>2</td>
<td>16</td>
<td>1.02</td>
<td>293</td>
<td>293</td>
<td>249.05</td>
<td>161.15</td>
<td>111.34</td>
</tr>
<tr>
<td>内存型 ecs.r5.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.03</td>
<td>586</td>
<td>586</td>
<td>498.1</td>
<td>322.3</td>
<td>222.68</td>
</tr>
<tr>
<td>内存型 ecs.r5.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.07</td>
<td>1172</td>
<td>1172</td>
<td>996.2</td>
<td>644.6</td>
<td>445.36</td>
</tr>
<tr>
<td>内存型 ecs.r5.3xlarge</td>
<td>12</td>
<td>96</td>
<td>6.1</td>
<td>1758</td>
<td>1758</td>
<td>1494.3</td>
<td>966.9</td>
<td>668.04</td>
</tr>
<tr>
<td>内存型 ecs.r5.4xlarge</td>
<td>16</td>
<td>128</td>
<td>8.14</td>
<td>2344</td>
<td>2344</td>
<td>1992.4</td>
<td>1289.2</td>
<td>890.72</td>
</tr>
<tr>
<td>内存型 ecs.r5.6xlarge</td>
<td>24</td>
<td>192</td>
<td>12.21</td>
<td>3516</td>
<td>3516</td>
<td>2988.6</td>
<td>1933.8</td>
<td>1336.08</td>
</tr>
<tr>
<td>内存型 ecs.r5.8xlarge</td>
<td>32</td>
<td>256</td>
<td>16.28</td>
<td>4688</td>
<td>4688</td>
<td>3984.8</td>
<td>2578.4</td>
<td>1781.44</td>
</tr>
<tr>
<td>内存型 ecs.r5.16xlarge</td>
<td>64</td>
<td>512</td>
<td>32.56</td>
<td>9376</td>
<td>9376</td>
<td>7969.6</td>
<td>5156.8</td>
<td>3562.88</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>6.02</td>
<td>1733</td>
<td>1646.35</td>
<td>1299.75</td>
<td>779.85</td>
<td>519.9</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>12.03</td>
<td>3466</td>
<td>3292.7</td>
<td>2599.5</td>
<td>1559.7</td>
<td>1039.8</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.6xlarge</td>
<td>24</td>
<td>96</td>
<td>18.05</td>
<td>5199</td>
<td>4939.05</td>
<td>3899.25</td>
<td>2339.55</td>
<td>1559.7</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne-c8d3.8xlarge</td>
<td>32</td>
<td>128</td>
<td>23.1</td>
<td>6652</td>
<td>6319.4</td>
<td>4989</td>
<td>2993.4</td>
<td>1995.6</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>24.06</td>
<td>6932</td>
<td>6585.4</td>
<td>5199</td>
<td>3119.4</td>
<td>2079.6</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne-c14d3.14xlarge</td>
<td>56</td>
<td>160</td>
<td>35.03</td>
<td>10088</td>
<td>9583.6</td>
<td>7566</td>
<td>4539.6</td>
<td>3026.4</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.14xlarge</td>
<td>56</td>
<td>224</td>
<td>42.11</td>
<td>12131</td>
<td>11524.45</td>
<td>9098.25</td>
<td>5458.95</td>
<td>3639.3</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.7</td>
<td>813.6</td>
<td>813.6</td>
<td>691.56</td>
<td>447.48</td>
<td>309.17</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.39</td>
<td>1627.2</td>
<td>1627.2</td>
<td>1383.12</td>
<td>894.96</td>
<td>618.34</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.4xlarge</td>
<td>16</td>
<td>128</td>
<td>6.78</td>
<td>3254.4</td>
<td>3254.4</td>
<td>2766.24</td>
<td>1789.92</td>
<td>1236.67</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.8xlarge</td>
<td>32</td>
<td>256</td>
<td>13.56</td>
<td>6508.8</td>
<td>6508.8</td>
<td>5532.48</td>
<td>3579.84</td>
<td>2473.34</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.16xlarge</td>
<td>64</td>
<td>512</td>
<td>27.12</td>
<td>13017.6</td>
<td>13017.6</td>
<td>11064.96</td>
<td>7159.68</td>
<td>4946.69</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.766</td>
<td>1327.5</td>
<td>1327.5</td>
<td>1128.38</td>
<td>730.13</td>
<td>504.45</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.532</td>
<td>2655</td>
<td>2655</td>
<td>2256.75</td>
<td>1460.25</td>
<td>1008.9</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.063</td>
<td>5310</td>
<td>5310</td>
<td>4513.5</td>
<td>2920.5</td>
<td>2017.8</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.16xlarge</td>
<td>64</td>
<td>256</td>
<td>22.128</td>
<td>10620</td>
<td>10620</td>
<td>9027</td>
<td>5841</td>
<td>4035.6</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.large</td>
<td>2</td>
<td>4</td>
<td>0.78</td>
<td>225.9</td>
<td>225.9</td>
<td>187.5</td>
<td>112.95</td>
<td>74.55</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.57</td>
<td>451.8</td>
<td>451.8</td>
<td>374.99</td>
<td>225.9</td>
<td>149.09</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>3.14</td>
<td>903.6</td>
<td>903.6</td>
<td>749.99</td>
<td>451.8</td>
<td>298.19</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>4.71</td>
<td>1355.4</td>
<td>1355.4</td>
<td>1124.98</td>
<td>677.7</td>
<td>447.28</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>6.28</td>
<td>1807.2</td>
<td>1807.2</td>
<td>1499.98</td>
<td>903.6</td>
<td>596.38</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>9.41</td>
<td>2710.8</td>
<td>2710.8</td>
<td>2249.96</td>
<td>1355.4</td>
<td>894.56</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>12.55</td>
<td>3614.4</td>
<td>3614.4</td>
<td>2999.95</td>
<td>1807.2</td>
<td>1192.75</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.large</td>
<td>2</td>
<td>8</td>
<td>1.04</td>
<td>298.8</td>
<td>298.8</td>
<td>242.03</td>
<td>146.41</td>
<td>95.62</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.08</td>
<td>597.6</td>
<td>597.6</td>
<td>484.06</td>
<td>292.82</td>
<td>191.23</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.15</td>
<td>1195.2</td>
<td>1195.2</td>
<td>968.11</td>
<td>585.65</td>
<td>382.46</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.3xlarge</td>
<td>12</td>
<td>48</td>
<td>6.23</td>
<td>1792.8</td>
<td>1792.8</td>
<td>1452.17</td>
<td>878.47</td>
<td>573.7</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>8.3</td>
<td>2390.4</td>
<td>2390.4</td>
<td>1936.22</td>
<td>1171.3</td>
<td>764.93</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.6xlarge</td>
<td>24</td>
<td>96</td>
<td>12.45</td>
<td>3585.6</td>
<td>3585.6</td>
<td>2904.34</td>
<td>1756.94</td>
<td>1147.39</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>16.6</td>
<td>4780.8</td>
<td>4780.8</td>
<td>3872.45</td>
<td>2342.59</td>
<td>1529.86</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.14xlarge</td>
<td>56</td>
<td>160</td>
<td>27.52</td>
<td>7927</td>
<td>7927</td>
<td>6420.87</td>
<td>3884.23</td>
<td>2536.64</td>
</tr>
<tr>
<td>计算型弹性裸金属服务器 ecs.ebmc6.26xlarge</td>
<td>104</td>
<td>192</td>
<td>18.23</td>
<td>8751.6</td>
<td>8751.6</td>
<td>7438.86</td>
<td>4813.38</td>
<td>3325.61</td>
</tr>
<tr>
<td>通用型弹性裸金属服务器 ecs.ebmg6.26xlarge</td>
<td>104</td>
<td>384</td>
<td>23.4</td>
<td>11232</td>
<td>11232</td>
<td>9547.2</td>
<td>6177.6</td>
<td>4268.16</td>
</tr>
<tr>
<td>内存型弹性裸金属服务器 ecs.ebmr6.26xlarge</td>
<td>104</td>
<td>768</td>
<td>31.01</td>
<td>14882.4</td>
<td>14882.4</td>
<td>12650.04</td>
<td>8185.32</td>
<td>5655.31</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc2m1.nano</td>
<td>1</td>
<td>0.5</td>
<td>0.06</td>
<td>16</td>
<td>15.2</td>
<td>12</td>
<td>7.2</td>
<td>4.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m1.small</td>
<td>1</td>
<td>1</td>
<td>0.08</td>
<td>22</td>
<td>20.9</td>
<td>16.5</td>
<td>9.9</td>
<td>6.6</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.small</td>
<td>1</td>
<td>2</td>
<td>0.15</td>
<td>43</td>
<td>40.85</td>
<td>32.25</td>
<td>19.35</td>
<td>12.9</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.3</td>
<td>86</td>
<td>81.7</td>
<td>64.5</td>
<td>38.7</td>
<td>25.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.5</td>
<td>143</td>
<td>135.85</td>
<td>107.25</td>
<td>64.35</td>
<td>42.9</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.26</td>
<td>75</td>
<td>71.25</td>
<td>56.25</td>
<td>33.75</td>
<td>22.5</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.36</td>
<td>104</td>
<td>98.8</td>
<td>78</td>
<td>46.8</td>
<td>31.2</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.56</td>
<td>162</td>
<td>153.9</td>
<td>121.5</td>
<td>72.9</td>
<td>48.6</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.xlarge</td>
<td>4</td>
<td>4</td>
<td>0.52</td>
<td>150</td>
<td>142.5</td>
<td>112.5</td>
<td>67.5</td>
<td>45</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.72</td>
<td>208</td>
<td>197.6</td>
<td>156</td>
<td>93.6</td>
<td>62.4</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.13</td>
<td>324</td>
<td>307.8</td>
<td>243</td>
<td>145.8</td>
<td>97.2</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.2xlarge</td>
<td>8</td>
<td>8</td>
<td>1.04</td>
<td>300</td>
<td>285</td>
<td>225</td>
<td>135</td>
<td>90</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.44</td>
<td>416</td>
<td>395.2</td>
<td>312</td>
<td>187.2</td>
<td>124.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.25</td>
<td>648</td>
<td>615.6</td>
<td>486</td>
<td>291.6</td>
<td>194.4</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.4xlarge</td>
<td>16</td>
<td>16</td>
<td>2.08</td>
<td>600</td>
<td>570</td>
<td>450</td>
<td>270</td>
<td>180</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.89</td>
<td>832</td>
<td>790.4</td>
<td>624</td>
<td>374.4</td>
<td>249.6</td>
</tr>
</tbody>
</table>
磁盘价格表
阿里云服务器磁盘分为ESSD磁盘价格、系统盘价格和数据盘价格，以下是最新收费价格表
1.ESSD磁盘价格
<table>
<thead>
<tr>
<th>类型</th>
<th>最大IOPS/最大吞吐量</th>
<th>容量范围</th>
<th>按量价格</th>
<th>包月价格</th>
</tr>
</thead>
<tbody>
<tr>
<td>ESSD云盘PL0</td>
<td>1万 / 180MB</td>
<td>40 ~ 32768 GiB</td>
<td>0.0010 元/1GiB/小时</td>
<td>0.50 元/1GiB/月</td>
</tr>
<tr>
<td>ESSD云盘PL1</td>
<td>5万 / 350MB</td>
<td>20 ~ 32768 GiB</td>
<td>0.0021 元/1GiB/小时</td>
<td>1.00 元/1GiB/月</td>
</tr>
<tr>
<td>ESSD云盘PL2</td>
<td>10万 / 750MB</td>
<td>461 ~ 32768 GiB</td>
<td>0.0042 元/1GiB/小时</td>
<td>2.00 元/1GiB/月</td>
</tr>
<tr>
<td>ESSD云盘PL3</td>
<td>100万 / 4,000MB</td>
<td>1261 ~ 32768 GiB</td>
<td>0.0084 元/1GiB/小时</td>
<td>4.00 元/1GiB/月</td>
</tr>
</tbody>
</table>
2.系统盘价格
<table>
<thead>
<tr>
<th>类型</th>
<th>规格</th>
<th>按量价格</th>
<th>包月价格</th>
</tr>
</thead>
<tbody>
<tr>
<td>普通云盘</td>
<td>40GiB</td>
<td>0.0150 元/40GiB/小时</td>
<td>10.80 元/40GiB/月</td>
</tr>
<tr>
<td>高效云盘</td>
<td>40GiB</td>
<td>0.0200 元/40GiB/小时</td>
<td>14.00 元/40GiB/月</td>
</tr>
<tr>
<td>SSD云盘</td>
<td>40GiB</td>
<td>0.0560 元/40GiB/小时</td>
<td>40.00 元/40GiB/月</td>
</tr>
<tr>
<td>普通云盘</td>
<td>1GiB</td>
<td>0.0004 元/1GiB/小时</td>
<td>0.27 元/1GiB/月</td>
</tr>
<tr>
<td>高效云盘</td>
<td>1GiB</td>
<td>0.0005 元/1GiB/小时</td>
<td>0.35 元/1GiB/月</td>
</tr>
<tr>
<td>SSD云盘</td>
<td>1GiB</td>
<td>0.0014 元/1GiB/小时</td>
<td>1.00 元/1GiB/月</td>
</tr>
</tbody>
</table>
3.数据盘价格
<table>
<thead>
<tr>
<th>类型</th>
<th>规格</th>
<th>按量价格</th>
<th>包月价格</th>
</tr>
</thead>
<tbody>
<tr>
<td>普通云盘</td>
<td>1GiB</td>
<td>0.0004 元/1GiB/小时</td>
<td>0.27 元/1GiB/月</td>
</tr>
<tr>
<td>高效云盘</td>
<td>1GiB</td>
<td>0.0005 元/1GiB/小时</td>
<td>0.35 元/1GiB/月</td>
</tr>
<tr>
<td>SSD云盘</td>
<td>1GiB</td>
<td>0.0014 元/1GiB/小时</td>
<td>1.00 元/1GiB/月</td>
</tr>
</tbody>
</table>
网络带宽价格表
带宽价格分为按固定带宽计费和按量计费两种模式：
<table>
<thead>
<tr>
<th>计费方式</th>
<th>类型</th>
<th>价格</th>
<th>计费方式</th>
</tr>
</thead>
<tbody>
<tr>
<td>预付费, 按固定带宽阶梯计费</td>
<td>1Mbps</td>
<td>23.0 元/月</td>
<td>预付费, 按固定带宽阶梯计费</td>
</tr>
<tr>
<td>预付费, 按固定带宽阶梯计费</td>
<td>2Mbps</td>
<td>46.0 元/月</td>
<td>预付费, 按固定带宽阶梯计费</td>
</tr>
<tr>
<td>预付费, 按固定带宽阶梯计费</td>
<td>3Mbps</td>
<td>71.0 元/月</td>
<td>预付费, 按固定带宽阶梯计费</td>
</tr>
<tr>
<td>预付费, 按固定带宽阶梯计费</td>
<td>4Mbps</td>
<td>96.0 元/月</td>
<td>预付费, 按固定带宽阶梯计费</td>
</tr>
<tr>
<td>预付费, 按固定带宽阶梯计费</td>
<td>5Mbps</td>
<td>125.0 元/月</td>
<td>预付费, 按固定带宽阶梯计费</td>
</tr>
<tr>
<td>预付费, 按固定带宽阶梯计费</td>
<td>6Mbps及以上，每Mbps费用</td>
<td>80.0 元/月</td>
<td>预付费, 按固定带宽阶梯计费</td>
</tr>
<tr>
<td>按量，按固定带宽阶梯计费</td>
<td>1－5 Mbps</td>
<td>0.063 元/小时</td>
<td>按量，按固定带宽阶梯计费</td>
</tr>
<tr>
<td>按量，按固定带宽阶梯计费</td>
<td>6Mbps及以上，每Mbps费用</td>
<td>0.248 元/小时</td>
<td>按量，按固定带宽阶梯计费</td>
</tr>
<tr>
<td>按使用量线性计费</td>
<td>1GB</td>
<td>0.8 元/GB</td>
<td>按使用量线性计费</td>
</tr>
</tbody>
</table>
注意，以上关于阿里云服务器租用价格表参考仅供参考，详细精准报价可在阿里云官网ECS云服务器购买页面点击产品定价获取。
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发表于 2024-10-5 22:53:21