租用阿里云服务器4核16G需要多少钱.ekpxtq

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阿里云服务器收费标准分为包年包月和按量付费两种模式，包年包月是一种先付费后使用的计费方式，按量付费是一种先使用后付费的计费方式。选择包年包月的收费模式，用户可以提前预留资源，同时享受更大的价格优惠，帮您更大程度节省支出，而选择按量付费模式用户可以按需开通和释放资源，无需提前购买大量资源，成本比传统主机降低30?0?本文主要所介绍的阿里云服务器价格表包含云服务器最新包年包月及按量付费收费标准。









很多用户购买阿里云服务器之前都想先查询下阿里云服务器价格表，其实阿里云有专门的价格计算器，只是很多新手用户没发现而已，如果你需要了解当下最新的阿里云服务器包年包月及按量付费收费标准可参考：云服务器ECS产品价格








近期阿里云在服务器价格优惠方面频频发力，连续推出了多种服务器优惠活动，总体来说，云服务器的价格是一年比一年低，我们在实际购买的时候可重点关注阿里云官方云小站平台，里面有最新的代金券及云服务器优惠信息，在这里用户可以了解阿里云当下有哪些实例和配置的云服务器有优惠，价格是多少，并通过云小站快速购买。





<div class="image-caption">云小站3.5折1.png


阿里云服务器价格主要有实例价格、块存储价格和带宽价格组成，收费模式分为包年包月和按量付费两种，下面是详细价格表（最新收费标准）：
一、实例价格
这里我们以华东2（上海）地域为例，所有地域的实例价格，大家可自行通过云服务器ECS产品价格查询。
<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>通用型 ecs.g7.large</td>
<td>2</td>
<td>8</td>
<td>0.575</td>
<td>276</td>
<td>276</td>
<td>234.6</td>
<td>151.8</td>
<td>104.88</td>
</tr>
<tr>
<td>通用型 ecs.g7.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.15</td>
<td>552</td>
<td>552</td>
<td>469.2</td>
<td>303.6</td>
<td>209.76</td>
</tr>
<tr>
<td>通用型 ecs.g7.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.3</td>
<td>1104</td>
<td>1104</td>
<td>938.4</td>
<td>607.2</td>
<td>419.52</td>
</tr>
<tr>
<td>通用型 ecs.g7.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.45</td>
<td>1656</td>
<td>1656</td>
<td>1407.6</td>
<td>910.8</td>
<td>629.28</td>
</tr>
<tr>
<td>通用型 ecs.g7.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.6</td>
<td>2208</td>
<td>2208</td>
<td>1876.8</td>
<td>1214.4</td>
<td>839.04</td>
</tr>
<tr>
<td>通用型 ecs.g7.6xlarge</td>
<td>24</td>
<td>96</td>
<td>6.9</td>
<td>3312</td>
<td>3312</td>
<td>2815.2</td>
<td>1821.6</td>
<td>1258.56</td>
</tr>
<tr>
<td>通用型 ecs.g7.8xlarge</td>
<td>32</td>
<td>128</td>
<td>9.2</td>
<td>4416</td>
<td>4416</td>
<td>3753.6</td>
<td>2428.8</td>
<td>1678.08</td>
</tr>
<tr>
<td>通用型 ecs.g7.16xlarge</td>
<td>64</td>
<td>256</td>
<td>18.4</td>
<td>8832</td>
<td>8832</td>
<td>7507.2</td>
<td>4857.6</td>
<td>3356.16</td>
</tr>
<tr>
<td>通用型 ecs.g7a.large</td>
<td>2</td>
<td>8</td>
<td>0.44</td>
<td>211.2</td>
<td>211.2</td>
<td>179.52</td>
<td>116.16</td>
<td>80.26</td>
</tr>
<tr>
<td>通用型 ecs.g7a.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.88</td>
<td>422.4</td>
<td>422.4</td>
<td>359.04</td>
<td>232.32</td>
<td>160.51</td>
</tr>
<tr>
<td>通用型 ecs.g7a.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.76</td>
<td>844.8</td>
<td>844.8</td>
<td>718.08</td>
<td>464.64</td>
<td>321.02</td>
</tr>
<tr>
<td>通用型 ecs.g7a.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.52</td>
<td>1689.6</td>
<td>1689.6</td>
<td>1436.16</td>
<td>929.28</td>
<td>642.05</td>
</tr>
<tr>
<td>通用型 ecs.g7a.8xlarge</td>
<td>32</td>
<td>128</td>
<td>7.04</td>
<td>3379.2</td>
<td>3379.2</td>
<td>2872.32</td>
<td>1858.56</td>
<td>1284.1</td>
</tr>
<tr>
<td>通用型 ecs.g7a.16xlarge</td>
<td>64</td>
<td>256</td>
<td>14.08</td>
<td>6758.4</td>
<td>6758.4</td>
<td>5744.64</td>
<td>3717.12</td>
<td>2568.19</td>
</tr>
<tr>
<td>通用型 ecs.g7a.32xlarge</td>
<td>128</td>
<td>512</td>
<td>28.16</td>
<td>13516.8</td>
<td>13516.8</td>
<td>11489.28</td>
<td>7434.24</td>
<td>5136.38</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.large</td>
<td>2</td>
<td>8</td>
<td>0.604</td>
<td>289.8</td>
<td>289.8</td>
<td>289.8</td>
<td>289.8</td>
<td>289.8</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.208</td>
<td>579.6</td>
<td>579.6</td>
<td>579.6</td>
<td>579.6</td>
<td>579.6</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.415</td>
<td>1159.2</td>
<td>1159.2</td>
<td>1159.2</td>
<td>1159.2</td>
<td>1159.2</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.623</td>
<td>1738.8</td>
<td>1738.8</td>
<td>1738.8</td>
<td>1738.8</td>
<td>1738.8</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.83</td>
<td>2318.4</td>
<td>2318.4</td>
<td>2318.4</td>
<td>2318.4</td>
<td>2318.4</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.6xlarge</td>
<td>24</td>
<td>96</td>
<td>7.245</td>
<td>3477.6</td>
<td>3477.6</td>
<td>3477.6</td>
<td>3477.6</td>
<td>3477.6</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.8xlarge</td>
<td>32</td>
<td>128</td>
<td>9.66</td>
<td>4636.8</td>
<td>4636.8</td>
<td>4636.8</td>
<td>4636.8</td>
<td>4636.8</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.16xlarge</td>
<td>64</td>
<td>256</td>
<td>19.32</td>
<td>9273.6</td>
<td>9273.6</td>
<td>9273.6</td>
<td>9273.6</td>
<td>9273.6</td>
</tr>
<tr>
<td>通用型 ecs.g6.large</td>
<td>2</td>
<td>8</td>
<td>0.5</td>
<td>240</td>
<td>240</td>
<td>204</td>
<td>132</td>
<td>91.2</td>
</tr>
<tr>
<td>通用型 ecs.g6.xlarge</td>
<td>4</td>
<td>16</td>
<td>1</td>
<td>480</td>
<td>480</td>
<td>408</td>
<td>264</td>
<td>182.4</td>
</tr>
<tr>
<td>通用型 ecs.g6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2</td>
<td>960</td>
<td>960</td>
<td>816</td>
<td>528</td>
<td>364.8</td>
</tr>
<tr>
<td>通用型 ecs.g6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3</td>
<td>1440</td>
<td>1440</td>
<td>1224</td>
<td>792</td>
<td>547.2</td>
</tr>
<tr>
<td>通用型 ecs.g6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4</td>
<td>1920</td>
<td>1920</td>
<td>1632</td>
<td>1056</td>
<td>729.6</td>
</tr>
<tr>
<td>通用型 ecs.g6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>6</td>
<td>2880</td>
<td>2880</td>
<td>2448</td>
<td>1584</td>
<td>1094.4</td>
</tr>
<tr>
<td>通用型 ecs.g6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>8</td>
<td>3840</td>
<td>3840</td>
<td>3264</td>
<td>2112</td>
<td>1459.2</td>
</tr>
<tr>
<td>通用型 ecs.g6.13xlarge</td>
<td>52</td>
<td>192</td>
<td>13</td>
<td>6240</td>
<td>6240</td>
<td>5304</td>
<td>3432</td>
<td>2371.2</td>
</tr>
<tr>
<td>通用型 ecs.g6.26xlarge</td>
<td>104</td>
<td>384</td>
<td>26</td>
<td>12480</td>
<td>12480</td>
<td>10608</td>
<td>6864</td>
<td>4742.4</td>
</tr>
<tr>
<td>通用型 ecs.g6a.large</td>
<td>2</td>
<td>8</td>
<td>0.44</td>
<td>211.2</td>
<td>211.2</td>
<td>179.52</td>
<td>116.16</td>
<td>80.26</td>
</tr>
<tr>
<td>通用型 ecs.g6a.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.88</td>
<td>422.4</td>
<td>422.4</td>
<td>359.04</td>
<td>232.32</td>
<td>160.51</td>
</tr>
<tr>
<td>通用型 ecs.g6a.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.76</td>
<td>844.8</td>
<td>844.8</td>
<td>718.08</td>
<td>464.64</td>
<td>321.02</td>
</tr>
<tr>
<td>通用型 ecs.g6a.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.52</td>
<td>1689.6</td>
<td>1689.6</td>
<td>1436.16</td>
<td>929.28</td>
<td>642.05</td>
</tr>
<tr>
<td>通用型 ecs.g6a.8xlarge</td>
<td>32</td>
<td>128</td>
<td>7.04</td>
<td>3379.2</td>
<td>3379.2</td>
<td>2872.32</td>
<td>1858.56</td>
<td>1284.1</td>
</tr>
<tr>
<td>通用型 ecs.g6a.16xlarge</td>
<td>64</td>
<td>256</td>
<td>14.08</td>
<td>6758.4</td>
<td>6758.4</td>
<td>5744.64</td>
<td>3717.12</td>
<td>2568.19</td>
</tr>
<tr>
<td>通用型 ecs.g6a.32xlarge</td>
<td>128</td>
<td>512</td>
<td>28.16</td>
<td>13516.8</td>
<td>13516.8</td>
<td>11489.28</td>
<td>7434.24</td>
<td>5136.38</td>
</tr>
<tr>
<td>内存型 ecs.r7.large</td>
<td>2</td>
<td>16</td>
<td>0.749</td>
<td>359.34</td>
<td>359.34</td>
<td>305.44</td>
<td>197.64</td>
<td>136.55</td>
</tr>
<tr>
<td>内存型 ecs.r7.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.497</td>
<td>718.68</td>
<td>718.68</td>
<td>610.88</td>
<td>395.27</td>
<td>273.1</td>
</tr>
<tr>
<td>内存型 ecs.r7.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.995</td>
<td>1437.36</td>
<td>1437.36</td>
<td>1221.76</td>
<td>790.55</td>
<td>546.2</td>
</tr>
<tr>
<td>内存型 ecs.r7.3xlarge</td>
<td>12</td>
<td>96</td>
<td>4.492</td>
<td>2156.04</td>
<td>2156.04</td>
<td>1832.63</td>
<td>1185.82</td>
<td>819.3</td>
</tr>
<tr>
<td>内存型 ecs.r7.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.989</td>
<td>2874.72</td>
<td>2874.72</td>
<td>2443.51</td>
<td>1581.1</td>
<td>1092.39</td>
</tr>
<tr>
<td>内存型 ecs.r7.6xlarge</td>
<td>24</td>
<td>192</td>
<td>8.984</td>
<td>4312.08</td>
<td>4312.08</td>
<td>3665.27</td>
<td>2371.64</td>
<td>1638.59</td>
</tr>
<tr>
<td>内存型 ecs.r7.8xlarge</td>
<td>32</td>
<td>256</td>
<td>11.978</td>
<td>5749.44</td>
<td>5749.44</td>
<td>4887.02</td>
<td>3162.19</td>
<td>2184.79</td>
</tr>
<tr>
<td>内存型 ecs.r7.16xlarge</td>
<td>64</td>
<td>512</td>
<td>23.956</td>
<td>11498.88</td>
<td>11498.88</td>
<td>9774.05</td>
<td>6324.38</td>
<td>4369.57</td>
</tr>
<tr>
<td>内存型 ecs.r7a.large</td>
<td>2</td>
<td>16</td>
<td>0.596</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.r7a.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.192</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.r7a.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.385</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.r7a.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.r7a.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.r7a.16xlarge</td>
<td>64</td>
<td>512</td>
<td>19.08</td>
<td>9158.4</td>
<td>9158.4</td>
<td>7784.64</td>
<td>5037.12</td>
<td>3480.19</td>
</tr>
<tr>
<td>内存型 ecs.r7a.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>38.16</td>
<td>18316.8</td>
<td>18316.8</td>
<td>15569.28</td>
<td>10074.24</td>
<td>6960.38</td>
</tr>
<tr>
<td>安全增强通用型 ecs.r7t.large</td>
<td>2</td>
<td>16</td>
<td>0.786</td>
<td>377.31</td>
<td>377.31</td>
<td>377.31</td>
<td>377.31</td>
<td>377.31</td>
</tr>
<tr>
<td>安全增强通用型 ecs.r7t.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.572</td>
<td>754.61</td>
<td>754.61</td>
<td>754.61</td>
<td>754.61</td>
<td>754.61</td>
</tr>
<tr>
<td>安全增强通用型 ecs.r7t.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.144</td>
<td>1509.23</td>
<td>1509.23</td>
<td>1509.23</td>
<td>1509.23</td>
<td>1509.23</td>
</tr>
<tr>
<td>安全增强通用型 ecs.r7t.3xlarge</td>
<td>12</td>
<td>96</td>
<td>4.716</td>
<td>2263.84</td>
<td>2263.84</td>
<td>2263.84</td>
<td>2263.84</td>
<td>2263.84</td>
</tr>
<tr>
<td>安全增强通用型 ecs.r7t.4xlarge</td>
<td>16</td>
<td>128</td>
<td>6.288</td>
<td>3018.46</td>
<td>3018.46</td>
<td>3018.46</td>
<td>3018.46</td>
<td>3018.46</td>
</tr>
<tr>
<td>安全增强通用型 ecs.r7t.6xlarge</td>
<td>24</td>
<td>192</td>
<td>9.433</td>
<td>4527.68</td>
<td>4527.68</td>
<td>4527.68</td>
<td>4527.68</td>
<td>4527.68</td>
</tr>
<tr>
<td>安全增强通用型 ecs.r7t.8xlarge</td>
<td>32</td>
<td>256</td>
<td>12.577</td>
<td>6036.91</td>
<td>6036.91</td>
<td>6036.91</td>
<td>6036.91</td>
<td>6036.91</td>
</tr>
<tr>
<td>安全增强通用型 ecs.r7t.16xlarge</td>
<td>64</td>
<td>512</td>
<td>25.154</td>
<td>12073.82</td>
<td>12073.82</td>
<td>12073.82</td>
<td>12073.82</td>
<td>12073.82</td>
</tr>
<tr>
<td>计算型 ecs.c7.large</td>
<td>2</td>
<td>4</td>
<td>0.448</td>
<td>215.05</td>
<td>215.05</td>
<td>182.79</td>
<td>118.28</td>
<td>81.72</td>
</tr>
<tr>
<td>计算型 ecs.c7.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.896</td>
<td>430.1</td>
<td>430.1</td>
<td>365.59</td>
<td>236.55</td>
<td>163.44</td>
</tr>
<tr>
<td>计算型 ecs.c7.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.792</td>
<td>860.2</td>
<td>860.2</td>
<td>731.17</td>
<td>473.11</td>
<td>326.88</td>
</tr>
<tr>
<td>计算型 ecs.c7.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.688</td>
<td>1290.3</td>
<td>1290.3</td>
<td>1096.75</td>
<td>709.66</td>
<td>490.31</td>
</tr>
<tr>
<td>计算型 ecs.c7.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.584</td>
<td>1720.4</td>
<td>1720.4</td>
<td>1462.34</td>
<td>946.22</td>
<td>653.75</td>
</tr>
<tr>
<td>计算型 ecs.c7.6xlarge</td>
<td>24</td>
<td>48</td>
<td>5.376</td>
<td>2580.6</td>
<td>2580.6</td>
<td>2193.51</td>
<td>1419.33</td>
<td>980.63</td>
</tr>
<tr>
<td>计算型 ecs.c7.8xlarge</td>
<td>32</td>
<td>64</td>
<td>7.168</td>
<td>3440.8</td>
<td>3440.8</td>
<td>2924.68</td>
<td>1892.44</td>
<td>1307.5</td>
</tr>
<tr>
<td>计算型 ecs.c7.16xlarge</td>
<td>64</td>
<td>256</td>
<td>14.337</td>
<td>6881.6</td>
<td>6881.6</td>
<td>5849.36</td>
<td>3784.88</td>
<td>2615.01</td>
</tr>
<tr>
<td>计算型 ecs.c7a.large</td>
<td>2</td>
<td>4</td>
<td>0.293</td>
<td>140.8</td>
<td>140.8</td>
<td>119.68</td>
<td>77.44</td>
<td>53.5</td>
</tr>
<tr>
<td>计算型 ecs.c7a.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.587</td>
<td>281.6</td>
<td>281.6</td>
<td>239.36</td>
<td>154.88</td>
<td>107.01</td>
</tr>
<tr>
<td>计算型 ecs.c7a.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.173</td>
<td>563.2</td>
<td>563.2</td>
<td>478.72</td>
<td>309.76</td>
<td>214.02</td>
</tr>
<tr>
<td>计算型 ecs.c7a.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.347</td>
<td>1126.4</td>
<td>1126.4</td>
<td>957.44</td>
<td>619.52</td>
<td>428.03</td>
</tr>
<tr>
<td>计算型 ecs.c7a.8xlarge</td>
<td>32</td>
<td>128</td>
<td>4.693</td>
<td>2252.8</td>
<td>2252.8</td>
<td>1914.88</td>
<td>1239.04</td>
<td>856.06</td>
</tr>
<tr>
<td>计算型 ecs.c7a.16xlarge</td>
<td>64</td>
<td>128</td>
<td>9.387</td>
<td>4505.6</td>
<td>4505.6</td>
<td>3829.76</td>
<td>2478.08</td>
<td>1712.13</td>
</tr>
<tr>
<td>计算型 ecs.c7a.32xlarge</td>
<td>128</td>
<td>256</td>
<td>18.773</td>
<td>9011.2</td>
<td>9011.2</td>
<td>7659.52</td>
<td>4956.16</td>
<td>3424.26</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7-c12g1.3xlarge</td>
<td>12</td>
<td>95</td>
<td>31.583</td>
<td>15160</td>
<td>15160</td>
<td>15160</td>
<td>15160</td>
<td>15160</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7-c13g1.13xlarge</td>
<td>52</td>
<td>380</td>
<td>126.333</td>
<td>60640</td>
<td>60640</td>
<td>60640</td>
<td>60640</td>
<td>60640</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7-c13g1.26xlarge</td>
<td>104</td>
<td>760</td>
<td>252.667</td>
<td>121280</td>
<td>121280</td>
<td>121280</td>
<td>121280</td>
<td>121280</td>
</tr>
<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>0.115</td>
<td>33</td>
<td>33</td>
<td>28.05</td>
<td>18.15</td>
<td>12.54</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.small</td>
<td>1</td>
<td>2</td>
<td>0.208</td>
<td>60</td>
<td>60</td>
<td>51</td>
<td>33</td>
<td>22.8</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.small</td>
<td>1</td>
<td>4</td>
<td>0.312</td>
<td>90</td>
<td>90</td>
<td>76.5</td>
<td>49.5</td>
<td>34.2</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.417</td>
<td>120</td>
<td>120</td>
<td>102</td>
<td>66</td>
<td>45.6</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.625</td>
<td>180</td>
<td>180</td>
<td>153</td>
<td>99</td>
<td>68.4</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.833</td>
<td>240</td>
<td>240</td>
<td>204</td>
<td>132</td>
<td>91.2</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.25</td>
<td>360</td>
<td>360</td>
<td>306</td>
<td>198</td>
<td>136.8</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.667</td>
<td>480</td>
<td>480</td>
<td>408</td>
<td>264</td>
<td>182.4</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.5</td>
<td>720</td>
<td>720</td>
<td>612</td>
<td>396</td>
<td>273.6</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>0.39</td>
<td>187</td>
<td>187</td>
<td>158.95</td>
<td>102.85</td>
<td>71.06</td>
</tr>
<tr>
<td>计算型 ecs.c6.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.78</td>
<td>374</td>
<td>374</td>
<td>317.9</td>
<td>205.7</td>
<td>142.12</td>
</tr>
<tr>
<td>计算型 ecs.c6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.56</td>
<td>748</td>
<td>748</td>
<td>635.8</td>
<td>411.4</td>
<td>284.24</td>
</tr>
<tr>
<td>计算型 ecs.c6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.34</td>
<td>1122</td>
<td>1122</td>
<td>953.7</td>
<td>617.1</td>
<td>426.36</td>
</tr>
<tr>
<td>计算型 ecs.c6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.12</td>
<td>1496</td>
<td>1496</td>
<td>1271.6</td>
<td>822.8</td>
<td>568.48</td>
</tr>
<tr>
<td>计算型 ecs.c6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>4.68</td>
<td>2244</td>
<td>2244</td>
<td>1907.4</td>
<td>1234.2</td>
<td>852.72</td>
</tr>
<tr>
<td>计算型 ecs.c6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>6.23</td>
<td>2992</td>
<td>2992</td>
<td>2543.2</td>
<td>1645.6</td>
<td>1136.96</td>
</tr>
<tr>
<td>计算型 ecs.c6.13xlarge</td>
<td>52</td>
<td>96</td>
<td>10.13</td>
<td>4862</td>
<td>4862</td>
<td>4132.7</td>
<td>2674.1</td>
<td>1847.56</td>
</tr>
<tr>
<td>计算型 ecs.c6.26xlarge</td>
<td>104</td>
<td>192</td>
<td>20.26</td>
<td>9724</td>
<td>9724</td>
<td>8265.4</td>
<td>5348.2</td>
<td>3695.12</td>
</tr>
<tr>
<td>计算型 ecs.c6a.large</td>
<td>2</td>
<td>4</td>
<td>0.293</td>
<td>140.8</td>
<td>140.8</td>
<td>119.68</td>
<td>77.44</td>
<td>53.5</td>
</tr>
<tr>
<td>计算型 ecs.c6a.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.587</td>
<td>281.6</td>
<td>281.6</td>
<td>239.36</td>
<td>154.88</td>
<td>107.01</td>
</tr>
<tr>
<td>计算型 ecs.c6a.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.173</td>
<td>563.2</td>
<td>563.2</td>
<td>478.72</td>
<td>309.76</td>
<td>214.02</td>
</tr>
<tr>
<td>计算型 ecs.c6a.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.347</td>
<td>1126.4</td>
<td>1126.4</td>
<td>957.44</td>
<td>619.52</td>
<td>428.03</td>
</tr>
<tr>
<td>计算型 ecs.c6a.8xlarge</td>
<td>32</td>
<td>64</td>
<td>4.693</td>
<td>2252.8</td>
<td>2252.8</td>
<td>1914.88</td>
<td>1239.04</td>
<td>856.06</td>
</tr>
<tr>
<td>计算型 ecs.c6a.16xlarge</td>
<td>64</td>
<td>128</td>
<td>9.387</td>
<td>4505.6</td>
<td>4505.6</td>
<td>3829.76</td>
<td>2478.08</td>
<td>1712.13</td>
</tr>
<tr>
<td>计算型 ecs.c6a.32xlarge</td>
<td>128</td>
<td>256</td>
<td>18.773</td>
<td>9011.2</td>
<td>9011.2</td>
<td>7659.52</td>
<td>4956.16</td>
<td>3424.26</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>计算平衡增强型 ecs.c6e.26xlarge</td>
<td>104</td>
<td>192</td>
<td>21.342</td>
<td>10244</td>
<td>10244</td>
<td>8707.4</td>
<td>5634.2</td>
<td>3892.72</td>
</tr>
<tr>
<td>内存型 ecs.r6.large</td>
<td>2</td>
<td>16</td>
<td>0.66</td>
<td>318</td>
<td>318</td>
<td>270.3</td>
<td>174.9</td>
<td>120.84</td>
</tr>
<tr>
<td>内存型 ecs.r6.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.33</td>
<td>636</td>
<td>636</td>
<td>540.6</td>
<td>349.8</td>
<td>241.68</td>
</tr>
<tr>
<td>内存型 ecs.r6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.65</td>
<td>1272</td>
<td>1272</td>
<td>1081.2</td>
<td>699.6</td>
<td>483.36</td>
</tr>
<tr>
<td>内存型 ecs.r6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>3.98</td>
<td>1908</td>
<td>1908</td>
<td>1621.8</td>
<td>1049.4</td>
<td>725.04</td>
</tr>
<tr>
<td>内存型 ecs.r6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.3</td>
<td>2544</td>
<td>2544</td>
<td>2162.4</td>
<td>1399.2</td>
<td>966.72</td>
</tr>
<tr>
<td>内存型 ecs.r6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>7.95</td>
<td>3816</td>
<td>3816</td>
<td>3243.6</td>
<td>2098.8</td>
<td>1450.08</td>
</tr>
<tr>
<td>内存型 ecs.r6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>10.6</td>
<td>5088</td>
<td>5088</td>
<td>4324.8</td>
<td>2798.4</td>
<td>1933.44</td>
</tr>
<tr>
<td>内存型 ecs.r6.13xlarge</td>
<td>52</td>
<td>384</td>
<td>17.23</td>
<td>8268</td>
<td>8268</td>
<td>7027.8</td>
<td>4547.4</td>
<td>3141.84</td>
</tr>
<tr>
<td>内存型 ecs.r6.26xlarge</td>
<td>104</td>
<td>768</td>
<td>34.45</td>
<td>16536</td>
<td>16536</td>
<td>14055.6</td>
<td>9094.8</td>
<td>6283.68</td>
</tr>
<tr>
<td>内存型 ecs.r6a.large</td>
<td>2</td>
<td>16</td>
<td>0.596</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.r6a.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.192</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.r6a.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.385</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.r6a.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.r6a.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.r6a.16xlarge</td>
<td>64</td>
<td>512</td>
<td>19.08</td>
<td>9158.4</td>
<td>9158.4</td>
<td>7784.64</td>
<td>5037.12</td>
<td>3480.19</td>
</tr>
<tr>
<td>内存型 ecs.r6a.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>38.16</td>
<td>18316.8</td>
<td>18316.8</td>
<td>15569.28</td>
<td>10074.24</td>
<td>6960.38</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>25.675</td>
<td>12324</td>
<td>12324</td>
<td>10475.4</td>
<td>6778.2</td>
<td>4683.12</td>
</tr>
<tr>
<td>内存增强型 ecs.re6.26xlarge</td>
<td>104</td>
<td>1536</td>
<td>51.35</td>
<td>24648</td>
<td>24648</td>
<td>20950.8</td>
<td>13556.4</td>
<td>9366.24</td>
</tr>
<tr>
<td>内存增强型 ecs.re6.52xlarge</td>
<td>208</td>
<td>3072</td>
<td>102.7</td>
<td>49296</td>
<td>49296</td>
<td>41901.6</td>
<td>27112.8</td>
<td>18732.48</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.large</td>
<td>2</td>
<td>4</td>
<td>0.471</td>
<td>226</td>
<td>226</td>
<td>192.1</td>
<td>124.3</td>
<td>85.88</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.942</td>
<td>452</td>
<td>452</td>
<td>384.2</td>
<td>248.6</td>
<td>171.76</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.883</td>
<td>904</td>
<td>904</td>
<td>768.4</td>
<td>497.2</td>
<td>343.52</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.825</td>
<td>1356</td>
<td>1356</td>
<td>1152.6</td>
<td>745.8</td>
<td>515.28</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.767</td>
<td>1808</td>
<td>1808</td>
<td>1536.8</td>
<td>994.4</td>
<td>687.04</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.6xlarge</td>
<td>24</td>
<td>48</td>
<td>5.65</td>
<td>2712</td>
<td>2712</td>
<td>2305.2</td>
<td>1491.6</td>
<td>1030.56</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.8xlarge</td>
<td>32</td>
<td>64</td>
<td>7.533</td>
<td>3616</td>
<td>3616</td>
<td>3073.6</td>
<td>1988.8</td>
<td>1374.08</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.12xlarge</td>
<td>48</td>
<td>96</td>
<td>11.3</td>
<td>5424</td>
<td>5424</td>
<td>4610.4</td>
<td>2983.2</td>
<td>2061.12</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.24xlarge</td>
<td>96</td>
<td>192</td>
<td>22.6</td>
<td>10848</td>
<td>10848</td>
<td>9220.8</td>
<td>5966.4</td>
<td>4122.24</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.large</td>
<td>2</td>
<td>16</td>
<td>0.767</td>
<td>368</td>
<td>368</td>
<td>312.8</td>
<td>202.4</td>
<td>139.84</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.533</td>
<td>736</td>
<td>736</td>
<td>625.6</td>
<td>404.8</td>
<td>279.68</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.067</td>
<td>1472</td>
<td>1472</td>
<td>1251.2</td>
<td>809.6</td>
<td>559.36</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.3xlarge</td>
<td>12</td>
<td>96</td>
<td>4.6</td>
<td>2208</td>
<td>2208</td>
<td>1876.8</td>
<td>1214.4</td>
<td>839.04</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.4xlarge</td>
<td>16</td>
<td>128</td>
<td>6.133</td>
<td>2944</td>
<td>2944</td>
<td>2502.4</td>
<td>1619.2</td>
<td>1118.72</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.6xlarge</td>
<td>24</td>
<td>192</td>
<td>9.2</td>
<td>4416</td>
<td>4416</td>
<td>3753.6</td>
<td>2428.8</td>
<td>1678.08</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.8xlarge</td>
<td>32</td>
<td>256</td>
<td>12.267</td>
<td>5888</td>
<td>5888</td>
<td>5004.8</td>
<td>3238.4</td>
<td>2237.44</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.12xlarge</td>
<td>48</td>
<td>384</td>
<td>18.4</td>
<td>8832</td>
<td>8832</td>
<td>7507.2</td>
<td>4857.6</td>
<td>3356.16</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.24xlarge</td>
<td>96</td>
<td>768</td>
<td>36.8</td>
<td>17664</td>
<td>17664</td>
<td>15014.4</td>
<td>9715.2</td>
<td>6712.32</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.large</td>
<td>2</td>
<td>8</td>
<td>0.579</td>
<td>278</td>
<td>278</td>
<td>236.3</td>
<td>152.9</td>
<td>105.64</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.158</td>
<td>556</td>
<td>556</td>
<td>472.6</td>
<td>305.8</td>
<td>211.28</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.317</td>
<td>1112</td>
<td>1112</td>
<td>945.2</td>
<td>611.6</td>
<td>422.56</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.475</td>
<td>1668</td>
<td>1668</td>
<td>1417.8</td>
<td>917.4</td>
<td>633.84</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.633</td>
<td>2224</td>
<td>2224</td>
<td>1890.4</td>
<td>1223.2</td>
<td>845.12</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.6xlarge</td>
<td>24</td>
<td>96</td>
<td>6.95</td>
<td>3336</td>
<td>3336</td>
<td>2835.6</td>
<td>1834.8</td>
<td>1267.68</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.8xlarge</td>
<td>32</td>
<td>128</td>
<td>9.267</td>
<td>4448</td>
<td>4448</td>
<td>3780.8</td>
<td>2446.4</td>
<td>1690.24</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.12xlarge</td>
<td>48</td>
<td>192</td>
<td>13.9</td>
<td>6672</td>
<td>6672</td>
<td>5671.2</td>
<td>3669.6</td>
<td>2535.36</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.24xlarge</td>
<td>96</td>
<td>384</td>
<td>27.8</td>
<td>13344</td>
<td>13344</td>
<td>11342.4</td>
<td>7339.2</td>
<td>5070.72</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.large</td>
<td>2</td>
<td>4</td>
<td>0.448</td>
<td>215</td>
<td>215</td>
<td>182.75</td>
<td>118.25</td>
<td>81.7</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.896</td>
<td>430</td>
<td>430</td>
<td>365.5</td>
<td>236.5</td>
<td>163.4</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.792</td>
<td>860</td>
<td>860</td>
<td>731</td>
<td>473</td>
<td>326.8</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.688</td>
<td>1290</td>
<td>1290</td>
<td>1096.5</td>
<td>709.5</td>
<td>490.2</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.583</td>
<td>1720</td>
<td>1720</td>
<td>1462</td>
<td>946</td>
<td>653.6</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>5.375</td>
<td>2580</td>
<td>2580</td>
<td>2193</td>
<td>1419</td>
<td>980.4</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>7.167</td>
<td>3440</td>
<td>3440</td>
<td>2924</td>
<td>1892</td>
<td>1307.2</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.10xlarge</td>
<td>40</td>
<td>96</td>
<td>8.958</td>
<td>4300</td>
<td>4300</td>
<td>3655</td>
<td>2365</td>
<td>1634</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.16xlarge</td>
<td>64</td>
<td>128</td>
<td>14.333</td>
<td>6880</td>
<td>6880</td>
<td>5848</td>
<td>3784</td>
<td>2614.4</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.20xlarge</td>
<td>80</td>
<td>192</td>
<td>17.917</td>
<td>8600</td>
<td>8600</td>
<td>7310</td>
<td>4730</td>
<td>3268</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.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>高主频通用型 ecs.hfg6.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>高主频通用型 ecs.hfg6.2xlarge</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>高主频通用型 ecs.hfg6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.3</td>
<td>1584</td>
<td>1584</td>
<td>1346.4</td>
<td>871.2</td>
<td>601.92</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.4xlarge</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>高主频通用型 ecs.hfg6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>6.6</td>
<td>3168</td>
<td>3168</td>
<td>2692.8</td>
<td>1742.4</td>
<td>1203.84</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.8xlarge</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>高主频通用型 ecs.hfg6.10xlarge</td>
<td>40</td>
<td>192</td>
<td>11</td>
<td>5280</td>
<td>5280</td>
<td>4488</td>
<td>2904</td>
<td>2006.4</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.16xlarge</td>
<td>64</td>
<td>256</td>
<td>17.6</td>
<td>8448</td>
<td>8448</td>
<td>7180.8</td>
<td>4646.4</td>
<td>3210.24</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.20xlarge</td>
<td>80</td>
<td>384</td>
<td>22</td>
<td>10560</td>
<td>10560</td>
<td>8976</td>
<td>5808</td>
<td>4012.8</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.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>高主频内存型 ecs.hfr6.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>高主频内存型 ecs.hfr6.2xlarge</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>高主频内存型 ecs.hfr6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>4.375</td>
<td>2100</td>
<td>2100</td>
<td>1785</td>
<td>1155</td>
<td>798</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.4xlarge</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>高主频内存型 ecs.hfr6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>8.75</td>
<td>4200</td>
<td>4200</td>
<td>3570</td>
<td>2310</td>
<td>1596</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.8xlarge</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>高主频内存型 ecs.hfr6.10xlarge</td>
<td>40</td>
<td>384</td>
<td>14.583</td>
<td>7000</td>
<td>7000</td>
<td>5950</td>
<td>3850</td>
<td>2660</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.16xlarge</td>
<td>64</td>
<td>512</td>
<td>23.333</td>
<td>11200</td>
<td>11200</td>
<td>9520</td>
<td>6160</td>
<td>4256</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.20xlarge</td>
<td>80</td>
<td>768</td>
<td>29.167</td>
<td>14000</td>
<td>14000</td>
<td>11900</td>
<td>7700</td>
<td>5320</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.3xlarge</td>
<td>12</td>
<td>92</td>
<td>19.739</td>
<td>9475</td>
<td>5779.75</td>
<td>4737.5</td>
<td>3979.5</td>
<td>3979.5</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.12xlarge</td>
<td>48</td>
<td>368</td>
<td>78.958</td>
<td>37900</td>
<td>23119</td>
<td>18950</td>
<td>15918</td>
<td>15918</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.24xlarge</td>
<td>96</td>
<td>736</td>
<td>157.916</td>
<td>75800</td>
<td>46238</td>
<td>37900</td>
<td>31836</td>
<td>31836</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c8g1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>26.46</td>
<td>7620</td>
<td>4648.2</td>
<td>3810</td>
<td>3200.4</td>
<td>3200.4</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c8g1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>105.84</td>
<td>30480</td>
<td>18592.8</td>
<td>15240</td>
<td>12801.6</td>
<td>12801.6</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c8g1.16xlarge</td>
<td>64</td>
<td>256</td>
<td>211.68</td>
<td>60960</td>
<td>37185.6</td>
<td>30480</td>
<td>25603.2</td>
<td>25603.2</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c10g1.20xlarge</td>
<td>82</td>
<td>336</td>
<td>219.64</td>
<td>63255</td>
<td>38585.55</td>
<td>31627.5</td>
<td>26567.1</td>
<td>26567.1</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c4g1.xlarge</td>
<td>4</td>
<td>15</td>
<td>11.63</td>
<td>3348</td>
<td>3348</td>
<td>2845.8</td>
<td>1841.4</td>
<td>1272.24</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c8g1.2xlarge</td>
<td>8</td>
<td>31</td>
<td>14</td>
<td>4032</td>
<td>4032</td>
<td>3427.2</td>
<td>2217.6</td>
<td>1532.16</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c16g1.4xlarge</td>
<td>16</td>
<td>62</td>
<td>16.41</td>
<td>4725</td>
<td>4725</td>
<td>4016.25</td>
<td>2598.75</td>
<td>1795.5</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.6xlarge</td>
<td>24</td>
<td>93</td>
<td>17.19</td>
<td>4950</td>
<td>4950</td>
<td>4207.5</td>
<td>2722.5</td>
<td>1881</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.12xlarge</td>
<td>48</td>
<td>186</td>
<td>34.38</td>
<td>9900</td>
<td>9900</td>
<td>8415</td>
<td>5445</td>
<td>3762</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.24xlarge</td>
<td>96</td>
<td>372</td>
<td>68.75</td>
<td>19800</td>
<td>19800</td>
<td>16830</td>
<td>10890</td>
<td>7524</td>
</tr>
<tr>
<td>轻量级GPU计算型 ecs.vgn6i-m4.xlarge</td>
<td>4</td>
<td>23</td>
<td>2.445</td>
<td>1173.65</td>
<td>1173.65</td>
<td>1173.65</td>
<td>1173.65</td>
<td>1173.65</td>
</tr>
<tr>
<td>轻量级GPU计算型 ecs.vgn6i-m8.2xlarge</td>
<td>10</td>
<td>46</td>
<td>5.053</td>
<td>2425.56</td>
<td>2425.56</td>
<td>2425.55</td>
<td>2425.55</td>
<td>2425.55</td>
</tr>
<tr>
<td>通用型 ecs.g5.large</td>
<td>2</td>
<td>8</td>
<td>0.89</td>
<td>255</td>
<td>255</td>
<td>216.75</td>
<td>140.25</td>
<td>96.9</td>
</tr>
<tr>
<td>通用型 ecs.g5.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.77</td>
<td>510</td>
<td>510</td>
<td>433.5</td>
<td>280.5</td>
<td>193.8</td>
</tr>
<tr>
<td>通用型 ecs.g5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.54</td>
<td>1020</td>
<td>1020</td>
<td>867</td>
<td>561</td>
<td>387.6</td>
</tr>
<tr>
<td>通用型 ecs.g5.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.31</td>
<td>1530</td>
<td>1530</td>
<td>1300.5</td>
<td>841.5</td>
<td>581.4</td>
</tr>
<tr>
<td>通用型 ecs.g5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.08</td>
<td>2040</td>
<td>2040</td>
<td>1734</td>
<td>1122</td>
<td>775.2</td>
</tr>
<tr>
<td>通用型 ecs.g5.6xlarge</td>
<td>24</td>
<td>96</td>
<td>10.63</td>
<td>3060</td>
<td>3060</td>
<td>2601</td>
<td>1683</td>
<td>1162.8</td>
</tr>
<tr>
<td>通用型 ecs.g5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>14.17</td>
<td>4080</td>
<td>4080</td>
<td>3468</td>
<td>2244</td>
<td>1550.4</td>
</tr>
<tr>
<td>通用型 ecs.g5.16xlarge</td>
<td>64</td>
<td>256</td>
<td>28.33</td>
<td>8160</td>
<td>8160</td>
<td>6936</td>
<td>4488</td>
<td>3100.8</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>34.64</td>
<td>9976</td>
<td>9976</td>
<td>8479.6</td>
<td>5486.8</td>
<td>3790.88</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.18xlarge</td>
<td>72</td>
<td>288</td>
<td>38.97</td>
<td>11223</td>
<td>11223</td>
<td>9539.55</td>
<td>6172.65</td>
<td>4264.74</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.large</td>
<td>2</td>
<td>2</td>
<td>0.59</td>
<td>170</td>
<td>170</td>
<td>144.5</td>
<td>93.5</td>
<td>64.6</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.xlarge</td>
<td>4</td>
<td>4</td>
<td>1.18</td>
<td>340</td>
<td>340</td>
<td>289</td>
<td>187</td>
<td>129.2</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.2xlarge</td>
<td>8</td>
<td>8</td>
<td>2.36</td>
<td>680</td>
<td>680</td>
<td>578</td>
<td>374</td>
<td>258.4</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.3xlarge</td>
<td>12</td>
<td>12</td>
<td>3.54</td>
<td>1020</td>
<td>1020</td>
<td>867</td>
<td>561</td>
<td>387.6</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.4xlarge</td>
<td>16</td>
<td>16</td>
<td>4.72</td>
<td>1360</td>
<td>1360</td>
<td>1156</td>
<td>748</td>
<td>516.8</td>
</tr>
<tr>
<td>计算型 ecs.c5.large</td>
<td>2</td>
<td>4</td>
<td>0.62</td>
<td>179</td>
<td>179</td>
<td>152.15</td>
<td>98.45</td>
<td>68.02</td>
</tr>
<tr>
<td>计算型 ecs.c5.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.24</td>
<td>358</td>
<td>358</td>
<td>304.3</td>
<td>196.9</td>
<td>136.04</td>
</tr>
<tr>
<td>计算型 ecs.c5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.49</td>
<td>716</td>
<td>716</td>
<td>608.6</td>
<td>393.8</td>
<td>272.08</td>
</tr>
<tr>
<td>计算型 ecs.c5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.73</td>
<td>1074</td>
<td>1074</td>
<td>912.9</td>
<td>590.7</td>
<td>408.12</td>
</tr>
<tr>
<td>计算型 ecs.c5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.97</td>
<td>1432</td>
<td>1432</td>
<td>1217.2</td>
<td>787.6</td>
<td>544.16</td>
</tr>
<tr>
<td>计算型 ecs.c5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>7.46</td>
<td>2148</td>
<td>2148</td>
<td>1825.8</td>
<td>1181.4</td>
<td>816.24</td>
</tr>
<tr>
<td>计算型 ecs.c5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>9.94</td>
<td>2864</td>
<td>2864</td>
<td>2434.4</td>
<td>1575.2</td>
<td>1088.32</td>
</tr>
<tr>
<td>计算型 ecs.c5.16xlarge</td>
<td>64</td>
<td>128</td>
<td>19.89</td>
<td>5728</td>
<td>5728</td>
<td>4868.8</td>
<td>3150.4</td>
<td>2176.64</td>
</tr>
<tr>
<td>内存型 ecs.r5.large</td>
<td>2</td>
<td>16</td>
<td>1.13</td>
<td>326</td>
<td>326</td>
<td>277.1</td>
<td>179.3</td>
<td>123.88</td>
</tr>
<tr>
<td>内存型 ecs.r5.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.26</td>
<td>652</td>
<td>652</td>
<td>554.2</td>
<td>358.6</td>
<td>247.76</td>
</tr>
<tr>
<td>内存型 ecs.r5.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.53</td>
<td>1304</td>
<td>1304</td>
<td>1108.4</td>
<td>717.2</td>
<td>495.52</td>
</tr>
<tr>
<td>内存型 ecs.r5.3xlarge</td>
<td>12</td>
<td>96</td>
<td>6.79</td>
<td>1956</td>
<td>1956</td>
<td>1662.6</td>
<td>1075.8</td>
<td>743.28</td>
</tr>
<tr>
<td>内存型 ecs.r5.4xlarge</td>
<td>16</td>
<td>128</td>
<td>9.06</td>
<td>2608</td>
<td>2608</td>
<td>2216.8</td>
<td>1434.4</td>
<td>991.04</td>
</tr>
<tr>
<td>内存型 ecs.r5.6xlarge</td>
<td>24</td>
<td>192</td>
<td>13.58</td>
<td>3912</td>
<td>3912</td>
<td>3325.2</td>
<td>2151.6</td>
<td>1486.56</td>
</tr>
<tr>
<td>内存型 ecs.r5.8xlarge</td>
<td>32</td>
<td>256</td>
<td>18.11</td>
<td>5216</td>
<td>5216</td>
<td>4433.6</td>
<td>2868.8</td>
<td>1982.08</td>
</tr>
<tr>
<td>内存型 ecs.r5.16xlarge</td>
<td>64</td>
<td>512</td>
<td>36.22</td>
<td>10432</td>
<td>10432</td>
<td>8867.2</td>
<td>5737.6</td>
<td>3964.16</td>
</tr>
<tr>
<td>大数据计算密集型 ecs.d2c.6xlarge</td>
<td>24</td>
<td>88</td>
<td>11.458</td>
<td>3300</td>
<td>3300</td>
<td>2805</td>
<td>1815</td>
<td>1254</td>
</tr>
<tr>
<td>大数据计算密集型 ecs.d2c.12xlarge</td>
<td>48</td>
<td>176</td>
<td>22.915</td>
<td>6600</td>
<td>6600</td>
<td>5610</td>
<td>3630</td>
<td>2508</td>
</tr>
<tr>
<td>大数据计算密集型 ecs.d2c.24xlarge</td>
<td>96</td>
<td>352</td>
<td>45.83</td>
<td>13200</td>
<td>13200</td>
<td>11220</td>
<td>7260</td>
<td>5016</td>
</tr>
<tr>
<td>大数据存储密集型 ecs.d2s.5xlarge</td>
<td>20</td>
<td>88</td>
<td>14.73</td>
<td>4242</td>
<td>4242</td>
<td>3605.7</td>
<td>2333.1</td>
<td>1611.96</td>
</tr>
<tr>
<td>大数据存储密集型 ecs.d2s.10xlarge</td>
<td>40</td>
<td>176</td>
<td>29.46</td>
<td>8484</td>
<td>8484</td>
<td>7211.4</td>
<td>4666.2</td>
<td>3223.92</td>
</tr>
<tr>
<td>大数据存储密集型 ecs.d2s.20xlarge</td>
<td>80</td>
<td>352</td>
<td>58.92</td>
<td>16968</td>
<td>16968</td>
<td>14422.8</td>
<td>9332.4</td>
<td>6447.84</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>6.68</td>
<td>1925</td>
<td>1828.75</td>
<td>1443.75</td>
<td>866.25</td>
<td>577.5</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>13.37</td>
<td>3850</td>
<td>3657.5</td>
<td>2887.5</td>
<td>1732.5</td>
<td>1155</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.6xlarge</td>
<td>24</td>
<td>96</td>
<td>20.05</td>
<td>5775</td>
<td>5486.25</td>
<td>4331.25</td>
<td>2598.75</td>
<td>1732.5</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne-c8d3.8xlarge</td>
<td>32</td>
<td>128</td>
<td>25.66</td>
<td>7391</td>
<td>7021.45</td>
<td>5543.25</td>
<td>3325.95</td>
<td>2217.3</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>26.74</td>
<td>7700</td>
<td>7315</td>
<td>5775</td>
<td>3465</td>
<td>2310</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne-c14d3.14xlarge</td>
<td>56</td>
<td>160</td>
<td>38.92</td>
<td>11209</td>
<td>10648.55</td>
<td>8406.75</td>
<td>5044.05</td>
<td>3362.7</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.14xlarge</td>
<td>56</td>
<td>224</td>
<td>46.79</td>
<td>13475</td>
<td>12801.25</td>
<td>10106.25</td>
<td>6063.75</td>
<td>4042.5</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.88</td>
<td>904</td>
<td>904</td>
<td>768.4</td>
<td>497.2</td>
<td>343.52</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.77</td>
<td>1808</td>
<td>1808</td>
<td>1536.8</td>
<td>994.4</td>
<td>687.04</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.53</td>
<td>3616</td>
<td>3616</td>
<td>3073.6</td>
<td>1988.8</td>
<td>1374.08</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.8xlarge</td>
<td>32</td>
<td>256</td>
<td>15.07</td>
<td>7232</td>
<td>7232</td>
<td>6147.2</td>
<td>3977.6</td>
<td>2748.16</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.16xlarge</td>
<td>64</td>
<td>512</td>
<td>30.13</td>
<td>14464</td>
<td>14464</td>
<td>12294.4</td>
<td>7955.2</td>
<td>5496.32</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.073</td>
<td>1475</td>
<td>1475</td>
<td>1253.75</td>
<td>811.25</td>
<td>560.5</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.146</td>
<td>2950</td>
<td>2950</td>
<td>2507.5</td>
<td>1622.5</td>
<td>1121</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.8xlarge</td>
<td>32</td>
<td>128</td>
<td>12.292</td>
<td>5900</td>
<td>5900</td>
<td>5015</td>
<td>3245</td>
<td>2242</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.16xlarge</td>
<td>64</td>
<td>256</td>
<td>24.584</td>
<td>11800</td>
<td>11800</td>
<td>10030</td>
<td>6490</td>
<td>4484</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.975</td>
<td>949.2</td>
<td>949.2</td>
<td>806.82</td>
<td>522.06</td>
<td>360.7</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.951</td>
<td>1898.4</td>
<td>1898.4</td>
<td>1613.64</td>
<td>1044.12</td>
<td>721.39</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.901</td>
<td>3796.8</td>
<td>3796.8</td>
<td>3227.28</td>
<td>2088.24</td>
<td>1442.78</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>15.801</td>
<td>7593.6</td>
<td>7593.6</td>
<td>6454.56</td>
<td>4176.48</td>
<td>2885.57</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>31.601</td>
<td>15187.2</td>
<td>15187.2</td>
<td>12909.12</td>
<td>8352.96</td>
<td>5771.14</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.951</td>
<td>1898.4</td>
<td>1898.4</td>
<td>1613.64</td>
<td>1044.12</td>
<td>721.39</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.901</td>
<td>3796.8</td>
<td>3796.8</td>
<td>3227.28</td>
<td>2088.24</td>
<td>1442.78</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>15.801</td>
<td>7593.6</td>
<td>7593.6</td>
<td>6454.56</td>
<td>4176.48</td>
<td>2885.57</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>31.601</td>
<td>15187.2</td>
<td>15187.2</td>
<td>12909.12</td>
<td>8352.96</td>
<td>5771.14</td>
</tr>
<tr>
<td>通用网络增强型 ecs.sn2ne.large</td>
<td>2</td>
<td>8</td>
<td>0.99</td>
<td>286</td>
<td>286</td>
<td>243.1</td>
<td>157.3</td>
<td>108.68</td>
</tr>
<tr>
<td>通用网络增强型 ecs.sn2ne.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.99</td>
<td>572</td>
<td>572</td>
<td>486.2</td>
<td>314.6</td>
<td>217.36</td>
</tr>
<tr>
<td>通用网络增强型 ecs.sn2ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.97</td>
<td>1144</td>
<td>1144</td>
<td>972.4</td>
<td>629.2</td>
<td>434.72</td>
</tr>
<tr>
<td>通用网络增强型 ecs.sn2ne.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.96</td>
<td>1716</td>
<td>1716</td>
<td>1458.6</td>
<td>943.8</td>
<td>652.08</td>
</tr>
<tr>
<td>通用网络增强型 ecs.sn2ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.94</td>
<td>2288</td>
<td>2288</td>
<td>1944.8</td>
<td>1258.4</td>
<td>869.44</td>
</tr>
<tr>
<td>通用网络增强型 ecs.sn2ne.6xlarge</td>
<td>24</td>
<td>96</td>
<td>11.92</td>
<td>3432</td>
<td>3432</td>
<td>2917.2</td>
<td>1887.6</td>
<td>1304.16</td>
</tr>
<tr>
<td>通用网络增强型 ecs.sn2ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>15.89</td>
<td>4576</td>
<td>4576</td>
<td>3889.6</td>
<td>2516.8</td>
<td>1738.88</td>
</tr>
<tr>
<td>通用网络增强型 ecs.sn2ne.14xlarge</td>
<td>56</td>
<td>224</td>
<td>27.81</td>
<td>8008</td>
<td>8008</td>
<td>6806.8</td>
<td>4404.4</td>
<td>3043.04</td>
</tr>
<tr>
<td>计算网络增强型 ecs.sn1ne.large</td>
<td>2</td>
<td>4</td>
<td>0.68</td>
<td>197</td>
<td>197</td>
<td>167.45</td>
<td>108.35</td>
<td>74.86</td>
</tr>
<tr>
<td>计算网络增强型 ecs.sn1ne.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.37</td>
<td>394</td>
<td>394</td>
<td>334.9</td>
<td>216.7</td>
<td>149.72</td>
</tr>
<tr>
<td>计算网络增强型 ecs.sn1ne.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.74</td>
<td>788</td>
<td>788</td>
<td>669.8</td>
<td>433.4</td>
<td>299.44</td>
</tr>
<tr>
<td>计算网络增强型 ecs.sn1ne.3xlarge</td>
<td>12</td>
<td>24</td>
<td>4.1</td>
<td>1182</td>
<td>1182</td>
<td>1004.7</td>
<td>650.1</td>
<td>449.16</td>
</tr>
<tr>
<td>计算网络增强型 ecs.sn1ne.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.47</td>
<td>1576</td>
<td>1576</td>
<td>1339.6</td>
<td>866.8</td>
<td>598.88</td>
</tr>
<tr>
<td>计算网络增强型 ecs.sn1ne.6xlarge</td>
<td>24</td>
<td>48</td>
<td>8.21</td>
<td>2364</td>
<td>2364</td>
<td>2009.4</td>
<td>1300.2</td>
<td>898.32</td>
</tr>
<tr>
<td>计算网络增强型 ecs.sn1ne.8xlarge</td>
<td>32</td>
<td>64</td>
<td>10.94</td>
<td>3152</td>
<td>3152</td>
<td>2679.2</td>
<td>1733.6</td>
<td>1197.76</td>
</tr>
<tr>
<td>内存增强型 ecs.re4.20xlarge</td>
<td>80</td>
<td>960</td>
<td>68.75</td>
<td>19800</td>
<td>19800</td>
<td>16830</td>
<td>9900</td>
<td>9900</td>
</tr>
<tr>
<td>内存增强型 ecs.re4.40xlarge</td>
<td>160</td>
<td>1920</td>
<td>137.5</td>
<td>39600</td>
<td>39600</td>
<td>33660</td>
<td>19800</td>
<td>19800</td>
</tr>
<tr>
<td>内存网络增强型 ecs.se1ne.large</td>
<td>2</td>
<td>16</td>
<td>1.27</td>
<td>366</td>
<td>366</td>
<td>311.1</td>
<td>201.3</td>
<td>139.08</td>
</tr>
<tr>
<td>内存网络增强型 ecs.se1ne.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.54</td>
<td>732</td>
<td>732</td>
<td>622.2</td>
<td>402.6</td>
<td>278.16</td>
</tr>
<tr>
<td>内存网络增强型 ecs.se1ne.2xlarge</td>
<td>8</td>
<td>64</td>
<td>5.08</td>
<td>1464</td>
<td>1464</td>
<td>1244.4</td>
<td>805.2</td>
<td>556.32</td>
</tr>
<tr>
<td>内存网络增强型 ecs.se1ne.3xlarge</td>
<td>12</td>
<td>96</td>
<td>7.63</td>
<td>2196</td>
<td>2196</td>
<td>1866.6</td>
<td>1207.8</td>
<td>834.48</td>
</tr>
<tr>
<td>内存网络增强型 ecs.se1ne.4xlarge</td>
<td>16</td>
<td>128</td>
<td>10.17</td>
<td>2928</td>
<td>2928</td>
<td>2488.8</td>
<td>1610.4</td>
<td>1112.64</td>
</tr>
<tr>
<td>内存网络增强型 ecs.se1ne.6xlarge</td>
<td>24</td>
<td>192</td>
<td>15.25</td>
<td>4392</td>
<td>4392</td>
<td>3733.2</td>
<td>2415.6</td>
<td>1668.96</td>
</tr>
<tr>
<td>内存网络增强型 ecs.se1ne.8xlarge</td>
<td>32</td>
<td>256</td>
<td>20.33</td>
<td>5856</td>
<td>5856</td>
<td>4977.6</td>
<td>3220.8</td>
<td>2225.28</td>
</tr>
<tr>
<td>内存网络增强型 ecs.se1ne.14xlarge</td>
<td>56</td>
<td>480</td>
<td>35.58</td>
<td>10248</td>
<td>10248</td>
<td>8710.8</td>
<td>5636.4</td>
<td>3894.24</td>
</tr>
<tr>
<td>内存型 ecs.se1.large</td>
<td>2</td>
<td>16</td>
<td>1.53</td>
<td>366</td>
<td>366</td>
<td>311.1</td>
<td>183</td>
<td>183</td>
</tr>
<tr>
<td>内存型 ecs.se1.xlarge</td>
<td>4</td>
<td>32</td>
<td>3.07</td>
<td>732</td>
<td>732</td>
<td>622.2</td>
<td>366</td>
<td>366</td>
</tr>
<tr>
<td>内存型 ecs.se1.2xlarge</td>
<td>8</td>
<td>64</td>
<td>6.14</td>
<td>1464</td>
<td>1464</td>
<td>1244.4</td>
<td>732</td>
<td>732</td>
</tr>
<tr>
<td>内存型 ecs.se1.4xlarge</td>
<td>16</td>
<td>128</td>
<td>12.28</td>
<td>2928</td>
<td>2928</td>
<td>2488.8</td>
<td>1464</td>
<td>1464</td>
</tr>
<tr>
<td>内存型 ecs.se1.8xlarge</td>
<td>32</td>
<td>256</td>
<td>24.56</td>
<td>5856</td>
<td>5856</td>
<td>4977.6</td>
<td>2928</td>
<td>2928</td>
</tr>
<tr>
<td>内存型 ecs.se1.14xlarge</td>
<td>56</td>
<td>480</td>
<td>44.29</td>
<td>10248</td>
<td>10248</td>
<td>8710.8</td>
<td>5124</td>
<td>5124</td>
</tr>
<tr>
<td>大数据型 ecs.d1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>6.36</td>
<td>1833</td>
<td>1741.35</td>
<td>1374.75</td>
<td>824.85</td>
<td>549.9</td>
</tr>
<tr>
<td>大数据型 ecs.d1.3xlarge</td>
<td>12</td>
<td>48</td>
<td>9.547</td>
<td>2749.5</td>
<td>2612.02</td>
<td>2062.13</td>
<td>1237.28</td>
<td>824.85</td>
</tr>
<tr>
<td>大数据型 ecs.d1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>12.73</td>
<td>3666</td>
<td>3482.7</td>
<td>2749.5</td>
<td>1649.7</td>
<td>1099.8</td>
</tr>
<tr>
<td>大数据型 ecs.d1.6xlarge</td>
<td>24</td>
<td>96</td>
<td>19.09</td>
<td>5499</td>
<td>5224.05</td>
<td>4124.25</td>
<td>2474.55</td>
<td>1649.7</td>
</tr>
<tr>
<td>大数据型 ecs.d1-c8d3.8xlarge</td>
<td>32</td>
<td>128</td>
<td>24.44</td>
<td>7039</td>
<td>6687.05</td>
<td>5279.25</td>
<td>3167.55</td>
<td>2111.7</td>
</tr>
<tr>
<td>大数据型 ecs.d1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>25.46</td>
<td>7332</td>
<td>6965.4</td>
<td>5499</td>
<td>3299.4</td>
<td>2199.6</td>
</tr>
<tr>
<td>大数据型 ecs.d1-c14d3.14xlarge</td>
<td>56</td>
<td>160</td>
<td>37.07</td>
<td>10675</td>
<td>10141.25</td>
<td>8006.25</td>
<td>4803.75</td>
<td>3202.5</td>
</tr>
<tr>
<td>大数据型 ecs.d1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>44.55</td>
<td>12831</td>
<td>12189.45</td>
<td>9623.25</td>
<td>5773.95</td>
<td>3849.3</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.94</td>
<td>649</td>
<td>616.55</td>
<td>486.75</td>
<td>292.05</td>
<td>194.7</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.89</td>
<td>1298</td>
<td>1233.1</td>
<td>973.5</td>
<td>584.1</td>
<td>389.4</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.3xlarge</td>
<td>12</td>
<td>48</td>
<td>6.76</td>
<td>1947</td>
<td>1849.65</td>
<td>1460.25</td>
<td>876.15</td>
<td>584.1</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>11.77</td>
<td>2596</td>
<td>2466.2</td>
<td>1947</td>
<td>1168.2</td>
<td>778.8</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1-c5d1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>14.44</td>
<td>3365.44</td>
<td>3197.17</td>
<td>2524.08</td>
<td>1514.45</td>
<td>1009.63</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.6xlarge</td>
<td>24</td>
<td>96</td>
<td>13.521</td>
<td>3894</td>
<td>3699.3</td>
<td>2920.5</td>
<td>1752.3</td>
<td>1168.2</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>23.54</td>
<td>5192</td>
<td>4932.4</td>
<td>3894</td>
<td>2336.4</td>
<td>1557.6</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1-c10d1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>25.14</td>
<td>5653.44</td>
<td>5370.77</td>
<td>4240.08</td>
<td>2544.05</td>
<td>1696.03</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>37.24</td>
<td>9086</td>
<td>8631.7</td>
<td>6814.5</td>
<td>4088.7</td>
<td>2725.8</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.large</td>
<td>2</td>
<td>4</td>
<td>0.87</td>
<td>251</td>
<td>251</td>
<td>208.33</td>
<td>125.5</td>
<td>82.83</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.74</td>
<td>502</td>
<td>502</td>
<td>416.66</td>
<td>251</td>
<td>165.66</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>3.49</td>
<td>1004</td>
<td>1004</td>
<td>833.32</td>
<td>502</td>
<td>331.32</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>5.23</td>
<td>1506</td>
<td>1506</td>
<td>1249.98</td>
<td>753</td>
<td>496.98</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>6.97</td>
<td>2008</td>
<td>2008</td>
<td>1666.64</td>
<td>1004</td>
<td>662.64</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>10.46</td>
<td>3012</td>
<td>3012</td>
<td>2499.96</td>
<td>1506</td>
<td>993.96</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>13.94</td>
<td>4016</td>
<td>4016</td>
<td>3333.28</td>
<td>2008</td>
<td>1325.28</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.large</td>
<td>2</td>
<td>8</td>
<td>1.15</td>
<td>332</td>
<td>332</td>
<td>268.92</td>
<td>162.68</td>
<td>106.24</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.31</td>
<td>664</td>
<td>664</td>
<td>537.84</td>
<td>325.36</td>
<td>212.48</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.61</td>
<td>1328</td>
<td>1328</td>
<td>1075.68</td>
<td>650.72</td>
<td>424.96</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.3xlarge</td>
<td>12</td>
<td>48</td>
<td>6.92</td>
<td>1992</td>
<td>1992</td>
<td>1613.52</td>
<td>976.08</td>
<td>637.44</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>9.22</td>
<td>2656</td>
<td>2656</td>
<td>2151.36</td>
<td>1301.44</td>
<td>849.92</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.6xlarge</td>
<td>24</td>
<td>96</td>
<td>13.83</td>
<td>3984</td>
<td>3984</td>
<td>3227.04</td>
<td>1952.16</td>
<td>1274.88</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>18.44</td>
<td>5312</td>
<td>5312</td>
<td>4302.72</td>
<td>2602.88</td>
<td>1699.84</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.14xlarge</td>
<td>56</td>
<td>160</td>
<td>30.58</td>
<td>8808</td>
<td>8808</td>
<td>7134.48</td>
<td>4315.92</td>
<td>2818.56</td>
</tr>
<tr>
<td>GPU轻量型 ecs.vgn5i-m1.large</td>
<td>2</td>
<td>6</td>
<td>1.95</td>
<td>562.5</td>
<td>562.5</td>
<td>478.13</td>
<td>309.38</td>
<td>213.75</td>
</tr>
<tr>
<td>GPU轻量型 ecs.vgn5i-m2.xlarge</td>
<td>4</td>
<td>12</td>
<td>3.91</td>
<td>1125</td>
<td>1125</td>
<td>956.25</td>
<td>618.75</td>
<td>427.5</td>
</tr>
<tr>
<td>GPU轻量型 ecs.vgn5i-m4.2xlarge</td>
<td>8</td>
<td>24</td>
<td>7.81</td>
<td>2250</td>
<td>2250</td>
<td>1912.5</td>
<td>1237.5</td>
<td>855</td>
</tr>
<tr>
<td>GPU轻量型 ecs.vgn5i-m8.4xlarge</td>
<td>16</td>
<td>48</td>
<td>15.63</td>
<td>4500</td>
<td>4500</td>
<td>3825</td>
<td>2475</td>
<td>1710</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c4g1.xlarge</td>
<td>4</td>
<td>30</td>
<td>12.78</td>
<td>3681</td>
<td>3681</td>
<td>3128.85</td>
<td>1914.12</td>
<td>1288.35</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.2xlarge</td>
<td>8</td>
<td>60</td>
<td>15.39</td>
<td>4433</td>
<td>4433</td>
<td>3768.05</td>
<td>2305.16</td>
<td>1551.55</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c4g1.2xlarge</td>
<td>8</td>
<td>60</td>
<td>25.57</td>
<td>7363</td>
<td>7363</td>
<td>6258.55</td>
<td>3828.76</td>
<td>2577.05</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.4xlarge</td>
<td>16</td>
<td>120</td>
<td>30.78</td>
<td>8866</td>
<td>8866</td>
<td>7536.1</td>
<td>4610.32</td>
<td>3103.1</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c28g1.7xlarge</td>
<td>28</td>
<td>112</td>
<td>23.88</td>
<td>6877</td>
<td>6877</td>
<td>5845.45</td>
<td>3576.04</td>
<td>2406.95</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.8xlarge</td>
<td>32</td>
<td>240</td>
<td>61.57</td>
<td>17731</td>
<td>17731</td>
<td>15071.35</td>
<td>9220.12</td>
<td>6205.85</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c28g1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>47.75</td>
<td>13753</td>
<td>13753</td>
<td>11690.05</td>
<td>7151.56</td>
<td>4813.55</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.14xlarge</td>
<td>54</td>
<td>480</td>
<td>123.13</td>
<td>35462</td>
<td>35462</td>
<td>30142.7</td>
<td>18440.24</td>
<td>12411.7</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c2g1.large</td>
<td>2</td>
<td>8</td>
<td>8.68</td>
<td>2500</td>
<td>2375</td>
<td>1875</td>
<td>1125</td>
<td>750</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c4g1.xlarge</td>
<td>4</td>
<td>16</td>
<td>9.69</td>
<td>2790</td>
<td>2650.5</td>
<td>2092.5</td>
<td>1255.5</td>
<td>837</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c8g1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>11.67</td>
<td>3360</td>
<td>3192</td>
<td>2520</td>
<td>1512</td>
<td>1008</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c16g1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>15.63</td>
<td>4500</td>
<td>4275</td>
<td>3375</td>
<td>2025</td>
<td>1350</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c28g1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>43.06</td>
<td>12400</td>
<td>11780</td>
<td>9300</td>
<td>5580</td>
<td>3720</td>
</tr>
<tr>
<td>FPGA计算型 ecs.f3-c16f1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>10.5</td>
<td>5040</td>
<td>5040</td>
<td>4284</td>
<td>2772</td>
<td>5040</td>
</tr>
<tr>
<td>FPGA计算型 ecs.f3-c16f1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>21</td>
<td>10080</td>
<td>10080</td>
<td>8568</td>
<td>5544</td>
<td>10080</td>
</tr>
<tr>
<td>FPGA计算型 ecs.f3-c16f1.16xlarge</td>
<td>64</td>
<td>256</td>
<td>42</td>
<td>20160</td>
<td>20160</td>
<td>17136</td>
<td>11088</td>
<td>20160</td>
</tr>
<tr>
<td>FPGA计算型 ecs.f1-c8f1.2xlarge</td>
<td>8</td>
<td>60</td>
<td>8.66</td>
<td>2495</td>
<td>2370.25</td>
<td>1871.25</td>
<td>1122.75</td>
<td>748.5</td>
</tr>
<tr>
<td>FPGA计算型 ecs.f1-c8f1.4xlarge</td>
<td>16</td>
<td>120</td>
<td>17.33</td>
<td>4990</td>
<td>4740.5</td>
<td>3742.5</td>
<td>2245.5</td>
<td>1497</td>
</tr>
<tr>
<td>FPGA计算型 ecs.f1-c28f1.7xlarge</td>
<td>28</td>
<td>112</td>
<td>15.14</td>
<td>4360</td>
<td>4142</td>
<td>3270</td>
<td>1962</td>
<td>1308</td>
</tr>
<tr>
<td>FPGA计算型 ecs.f1-c28f1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>30.28</td>
<td>8720</td>
<td>8284</td>
<td>6540</td>
<td>3924</td>
<td>2616</td>
</tr>
<tr>
<td>GPU计算型弹性裸金属服务器 ecs.ebmgn6v.24xlarge</td>
<td>96</td>
<td>384</td>
<td>237.125</td>
<td>68292</td>
<td>41658.12</td>
<td>34146</td>
<td>28682.64</td>
<td>28682.64</td>
</tr>
<tr>
<td>计算型（平衡增强）弹性裸金属服务器 ecs.ebmc6e.26xlarge</td>
<td>104</td>
<td>192</td>
<td>21.342</td>
<td>10244</td>
<td>10244</td>
<td>10244</td>
<td>10244</td>
<td>10244</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>20.26</td>
<td>9724</td>
<td>9724</td>
<td>8265.4</td>
<td>5348.2</td>
<td>3695.12</td>
</tr>
<tr>
<td>内存型（平衡增强）弹性裸金属服务器 ecs.ebmg6e.26xlarge</td>
<td>104</td>
<td>768</td>
<td>28.6</td>
<td>13728</td>
<td>13728</td>
<td>13728</td>
<td>13728</td>
<td>13728</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>26</td>
<td>12480</td>
<td>12480</td>
<td>10608</td>
<td>6864</td>
<td>4742.4</td>
</tr>
<tr>
<td>内存型（平衡增强）弹性裸金属服务器 ecs.ebmg6e.26xlarge</td>
<td>104</td>
<td>768</td>
<td>28.6</td>
<td>13728</td>
<td>13728</td>
<td>13728</td>
<td>13728</td>
<td>13728</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>34.45</td>
<td>16536</td>
<td>16536</td>
<td>14055.6</td>
<td>9094.8</td>
<td>6283.68</td>
</tr>
<tr>
<td>高主频计算型弹性裸金属服务器 ecs.ebmhfc6.20xlarge</td>
<td>80</td>
<td>192</td>
<td>17.917</td>
<td>8600</td>
<td>8600</td>
<td>7310</td>
<td>4730</td>
<td>3268</td>
</tr>
<tr>
<td>高主频通用型弹性裸金属服务器 ecs.ebmhfg6.20xlarge</td>
<td>80</td>
<td>384</td>
<td>22</td>
<td>10560</td>
<td>10560</td>
<td>8976</td>
<td>5808</td>
<td>4012.8</td>
</tr>
<tr>
<td>高主频内存型弹性裸金属服务器 ecs.ebmhfr6.20xlarge</td>
<td>80</td>
<td>768</td>
<td>29.167</td>
<td>14000</td>
<td>14000</td>
<td>11900</td>
<td>7700</td>
<td>5320</td>
</tr>
<tr>
<td>GPU计算型超级计算集群 ecs.sccgn6.24xlarge</td>
<td>96</td>
<td>384</td>
<td>248.42</td>
<td>71544</td>
<td>71544</td>
<td>60812.4</td>
<td>39349.2</td>
<td>71544</td>
</tr>
<tr>
<td>高主频型超级计算集群 ecs.scch5.16xlarge</td>
<td>64</td>
<td>192</td>
<td>42.36</td>
<td>12200</td>
<td>11590</td>
<td>9150</td>
<td>5490</td>
<td>3660</td>
</tr>
<tr>
<td>计算网络增强型弹性裸金属服务器 ecs.ebmc5s.24xlarge</td>
<td>96</td>
<td>192</td>
<td>29.83</td>
<td>8592</td>
<td>8592</td>
<td>7303.2</td>
<td>4725.6</td>
<td>3264.96</td>
</tr>
<tr>
<td>通用网络增强型弹性裸金属服务器 ecs.ebmg5s.24xlarge</td>
<td>96</td>
<td>384</td>
<td>42.5</td>
<td>12240</td>
<td>11628</td>
<td>9180</td>
<td>5508</td>
<td>3672</td>
</tr>
<tr>
<td>通用网络增强型弹性裸金属服务器 ecs.ebmr5s.24xlarge</td>
<td>96</td>
<td>768</td>
<td>54.33</td>
<td>15648</td>
<td>15648</td>
<td>13300.8</td>
<td>8606.4</td>
<td>5946.24</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc2m1.nano</td>
<td>1</td>
<td>0.5</td>
<td>0.063</td>
<td>18</td>
<td>17.1</td>
<td>13.5</td>
<td>8.1</td>
<td>5.4</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m1.small</td>
<td>1</td>
<td>1</td>
<td>0.083</td>
<td>24</td>
<td>22.8</td>
<td>18</td>
<td>10.8</td>
<td>7.2</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.small</td>
<td>1</td>
<td>2</td>
<td>0.167</td>
<td>48</td>
<td>45.6</td>
<td>36</td>
<td>21.6</td>
<td>14.4</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.333</td>
<td>96</td>
<td>91.2</td>
<td>72</td>
<td>43.2</td>
<td>28.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.55</td>
<td>159</td>
<td>151.05</td>
<td>119.25</td>
<td>71.55</td>
<td>47.7</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.29</td>
<td>83</td>
<td>78.85</td>
<td>62.25</td>
<td>37.35</td>
<td>24.9</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.4</td>
<td>116</td>
<td>110.2</td>
<td>87</td>
<td>52.2</td>
<td>34.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.63</td>
<td>180</td>
<td>171</td>
<td>135</td>
<td>81</td>
<td>54</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.xlarge</td>
<td>4</td>
<td>4</td>
<td>0.58</td>
<td>167</td>
<td>158.65</td>
<td>125.25</td>
<td>75.15</td>
<td>50.1</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.8</td>
<td>231</td>
<td>219.45</td>
<td>173.25</td>
<td>103.95</td>
<td>69.3</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.25</td>
<td>360</td>
<td>342</td>
<td>270</td>
<td>162</td>
<td>108</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.2xlarge</td>
<td>8</td>
<td>8</td>
<td>1.16</td>
<td>333</td>
<td>316.35</td>
<td>249.75</td>
<td>149.85</td>
<td>99.9</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.6</td>
<td>462</td>
<td>438.9</td>
<td>346.5</td>
<td>207.9</td>
<td>138.6</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.5</td>
<td>720</td>
<td>684</td>
<td>540</td>
<td>324</td>
<td>216</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.4xlarge</td>
<td>16</td>
<td>16</td>
<td>2.31</td>
<td>666</td>
<td>632.7</td>
<td>499.5</td>
<td>299.7</td>
<td>199.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.21</td>
<td>924</td>
<td>877.8</td>
<td>693</td>
<td>415.8</td>
<td>277.2</td>
</tr>
<tr>
<td>共享基本型 ecs.xn4.small</td>
<td>1</td>
<td>1</td>
<td>0.16</td>
<td>45</td>
<td>45</td>
<td>38.25</td>
<td>22.5</td>
<td>22.5</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.small</td>
<td>1</td>
<td>2</td>
<td>0.29</td>
<td>84</td>
<td>84</td>
<td>71.4</td>
<td>42</td>
<td>42</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.large</td>
<td>2</td>
<td>4</td>
<td>0.71</td>
<td>204</td>
<td>204</td>
<td>173.4</td>
<td>102</td>
<td>102</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.42</td>
<td>408</td>
<td>408</td>
<td>346.8</td>
<td>204</td>
<td>204</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.83</td>
<td>816</td>
<td>816</td>
<td>693.6</td>
<td>408</td>
<td>408</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.67</td>
<td>1632</td>
<td>1632</td>
<td>1387.2</td>
<td>816</td>
<td>816</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.8xlarge</td>
<td>32</td>
<td>64</td>
<td>11.33</td>
<td>3264</td>
<td>3264</td>
<td>2774.4</td>
<td>1632</td>
<td>1632</td>
</tr>
<tr>
<td>共享通用型 ecs.mn4.small</td>
<td>1</td>
<td>4</td>
<td>0.54</td>
<td>155</td>
<td>155</td>
<td>131.75</td>
<td>77.5</td>
<td>77.5</td>
</tr>
<tr>
<td>共享通用型 ecs.mn4.large</td>
<td>2</td>
<td>8</td>
<td>1.08</td>
<td>310</td>
<td>310</td>
<td>263.5</td>
<td>155</td>
<td>155</td>
</tr>
<tr>
<td>共享通用型 ecs.mn4.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.15</td>
<td>620</td>
<td>620</td>
<td>527</td>
<td>310</td>
<td>310</td>
</tr>
<tr>
<td>共享通用型 ecs.mn4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.3</td>
<td>1240</td>
<td>1240</td>
<td>1054</td>
<td>620</td>
<td>620</td>
</tr>
<tr>
<td>共享通用型 ecs.mn4.4xlarge</td>
<td>16</td>
<td>64</td>
<td>8.61</td>
<td>2480</td>
<td>2480</td>
<td>2108</td>
<td>1240</td>
<td>1240</td>
</tr>
<tr>
<td>共享通用型 ecs.mn4.8xlarge</td>
<td>32</td>
<td>128</td>
<td>17.22</td>
<td>4960</td>
<td>4960</td>
<td>4216</td>
<td>2480</td>
<td>2480</td>
</tr>
<tr>
<td>共享内存型 ecs.e4.small</td>
<td>1</td>
<td>8</td>
<td>0.9</td>
<td>260</td>
<td>260</td>
<td>221</td>
<td>130</td>
<td>130</td>
</tr>
<tr>
<td>共享计算型 ecs.n1.small</td>
<td>1</td>
<td>2</td>
<td>0.28</td>
<td>80</td>
<td>80</td>
<td>68</td>
<td>40</td>
<td>40</td>
</tr>
<tr>
<td>共享计算型 ecs.n1.medium</td>
<td>2</td>
<td>4</td>
<td>0.65</td>
<td>188</td>
<td>188</td>
<td>159.8</td>
<td>94</td>
<td>94</td>
</tr>
<tr>
<td>共享计算型 ecs.n1.large</td>
<td>4</td>
<td>8</td>
<td>1.35</td>
<td>388</td>
<td>388</td>
<td>329.8</td>
<td>194</td>
<td>194</td>
</tr>
<tr>
<td>共享计算型 ecs.n1.xlarge</td>
<td>8</td>
<td>16</td>
<td>2.69</td>
<td>776</td>
<td>776</td>
<td>659.6</td>
<td>388</td>
<td>388</td>
</tr>
<tr>
<td>共享计算型 ecs.n1.3xlarge</td>
<td>16</td>
<td>32</td>
<td>5.39</td>
<td>1552</td>
<td>1552</td>
<td>1319.2</td>
<td>776</td>
<td>776</td>
</tr>
<tr>
<td>共享计算型 ecs.n1.7xlarge</td>
<td>32</td>
<td>64</td>
<td>10.78</td>
<td>3104</td>
<td>3104</td>
<td>2638.4</td>
<td>1552</td>
<td>1552</td>
</tr>
<tr>
<td>共享通用型 ecs.n2.small</td>
<td>1</td>
<td>4</td>
<td>0.49</td>
<td>141</td>
<td>141</td>
<td>119.85</td>
<td>70.5</td>
<td>70.5</td>
</tr>
<tr>
<td>共享通用型 ecs.n2.medium</td>
<td>2</td>
<td>8</td>
<td>1.02</td>
<td>294</td>
<td>294</td>
<td>249.9</td>
<td>147</td>
<td>147</td>
</tr>
<tr>
<td>共享通用型 ecs.n2.large</td>
<td>4</td>
<td>16</td>
<td>2.04</td>
<td>588</td>
<td>588</td>
<td>499.8</td>
<td>294</td>
<td>294</td>
</tr>
<tr>
<td>共享通用型 ecs.n2.xlarge</td>
<td>8</td>
<td>32</td>
<td>4.08</td>
<td>1176</td>
<td>1176</td>
<td>999.6</td>
<td>588</td>
<td>588</td>
</tr>
<tr>
<td>共享通用型 ecs.n2.3xlarge</td>
<td>16</td>
<td>64</td>
<td>8.17</td>
<td>2352</td>
<td>2352</td>
<td>1999.2</td>
<td>1176</td>
<td>1176</td>
</tr>
<tr>
<td>共享通用型 ecs.n2.7xlarge</td>
<td>32</td>
<td>128</td>
<td>16.32</td>
<td>4704</td>
<td>4704</td>
<td>3998.4</td>
<td>2352</td>
<td>2352</td>
</tr>
<tr>
<td>共享通用型 ecs.e3.small</td>
<td>1</td>
<td>8</td>
<td>0.86</td>
<td>249</td>
<td>249</td>
<td>211.65</td>
<td>124.5</td>
<td>124.5</td>
</tr>
<tr>
<td>共享通用型 ecs.e3.medium</td>
<td>2</td>
<td>16</td>
<td>1.73</td>
<td>498</td>
<td>498</td>
<td>423.3</td>
<td>249</td>
<td>249</td>
</tr>
<tr>
<td>共享通用型 ecs.e3.large</td>
<td>4</td>
<td>32</td>
<td>3.46</td>
<td>996</td>
<td>996</td>
<td>846.6</td>
<td>498</td>
<td>498</td>
</tr>
<tr>
<td>共享通用型 ecs.e3.xlarge</td>
<td>8</td>
<td>64</td>
<td>6.92</td>
<td>1992</td>
<td>1992</td>
<td>1693.2</td>
<td>996</td>
<td>996</td>
</tr>
<tr>
<td>共享通用型 ecs.e3.3xlarge</td>
<td>16</td>
<td>128</td>
<td>13.83</td>
<td>3984</td>
<td>3984</td>
<td>3386.4</td>
<td>1992</td>
<td>1992</td>
</tr>
</tbody>
</table>

二、块存储价格
块存储指的是云服务器的硬盘，分为ESSD磁盘、系统盘价格和数据盘价格，最新收费标准价格如下：
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>0.00105 元/1GiB/小时</td>
<td>0.5 元/1GiB/月</td>
</tr>
<tr>
<td>ESSD云盘PL1</td>
<td>5万 / 350MB</td>
<td>20 ~ 32768 GiB</td>
<td>0.00210 元/1GiB/小时</td>
<td>1 元/1GiB/月</td>
</tr>
<tr>
<td>ESSD云盘PL2</td>
<td>10万 / 750MB</td>
<td>461 ~ 32768 GiB</td>
<td>0.00420 元/1GiB/小时</td>
<td>2 元/1GiB/月</td>
</tr>
<tr>
<td>ESSD云盘PL3</td>
<td>100万 / 4,000MB</td>
<td>1261 ~ 32768 GiB</td>
<td>0.00840 元/1GiB/小时</td>
<td>4 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>0.01700 元/40GiB/小时</td>
<td>12 元/40GiB/月</td>
</tr>
<tr>
<td>高效云盘</td>
<td>40GiB</td>
<td>0.02000 元/40GiB/小时</td>
<td>14 元/40GiB/月</td>
</tr>
<tr>
<td>SSD云盘</td>
<td>40GiB</td>
<td>0.05600 元/40GiB/小时</td>
<td>40 元/40GiB/月</td>
</tr>
<tr>
<td>普通云盘</td>
<td>1GiB</td>
<td>0.00042 元/1GiB/小时</td>
<td>0.3 元/1GiB/月</td>
</tr>
<tr>
<td>高效云盘</td>
<td>1GiB</td>
<td>0.00049 元/1GiB/小时</td>
<td>0.35 元/1GiB/月</td>
</tr>
<tr>
<td>SSD云盘</td>
<td>1GiB</td>
<td>0.00140 元/1GiB/小时</td>
<td>1 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>0.00042 元/1GiB/小时</td>
<td>0.3 元/1GiB/月</td>
</tr>
<tr>
<td>高效云盘</td>
<td>1GiB</td>
<td>0.00049 元/1GiB/小时</td>
<td>0.35 元/1GiB/月</td>
</tr>
<tr>
<td>SSD云盘</td>
<td>1GiB</td>
<td>0.00140 元/1GiB/小时</td>
<td>1 元/1GiB/月</td>
</tr>
</tbody>
</table>

三、带宽价格
带宽收费模式分为预付费, 按固定带宽阶梯计费、按量，按固定带宽阶梯计费和按使用量线性计费三种模式，最新收费标准价格如下：
<table>
<thead>
<tr>
<th>计费方式</th>
<th>类型</th>
<th>价格</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>
</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>
</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>
</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>
</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>
</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>
</tr>
<tr>
<td>按量，按固定带宽阶梯计费</td>
<td>1－5 Mbps，每Mbps费用</td>
<td>0.0625 元/小时</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>0.250 元/小时</td>
</tr>
<tr>
<td>按使用量线性计费</td>
<td>1GB</td>
<td>0.8 元/GB</td>
</tr>
</tbody>
</table>
从上面带宽收费标准价格表我们可以看出，阿里云服务器带宽收费在6M时是一个分水岭，当所购云服务器带宽高于6M时价格明显上涨，建议在实际购买的时候，前期可选择6M以内带宽，后期根据实际需要再增加带宽。
最后分享一点便宜购买小技巧：在实际购买的时候，推荐先参考阿里云官方最新活动导航栏了解阿里云当下有哪些最新活动，通过活动购买可以便宜很多，实际购买时结合使用阿里云官方云小站平台所领取的代金券，可以获得更加实惠的价格，节约上云成本。附：阿里云官方云小站平台云服务器优惠价格如下表所示：
<table>
<thead>
<tr>
<th>云服务器实例</th>
<th>配置</th>
<th>可选带宽</th>
<th>可选云盘种类及容量</th>
<th>折扣</th>
<th>云小站优惠价格（1年）</th>
<th>云小站优惠价格（3年）</th>
</tr>
</thead>
<tbody>
<tr>
<td>ECS共享型 n4</td>
<td>1核2G</td>
<td>1M</td>
<td>40-100G高效云盘</td>
<td>0.4折</td>
<td>69.00元/1年起</td>
<td>180.00元/3年起</td>
</tr>
<tr>
<td>轻量应用服务器</td>
<td>2核2G</td>
<td>5M</td>
<td>60GB ESSD云盘</td>
<td>0.5折</td>
<td>60.00元/1年起</td>
<td>-</td>
</tr>
<tr>
<td>轻量应用服务器</td>
<td>2核4G</td>
<td>5M</td>
<td>60GB ESSD云盘</td>
<td>0.4折</td>
<td>68.00元/1年起</td>
<td>204.00元/3年起</td>
</tr>
<tr>
<td>ECS突发性能型 t6</td>
<td>2核2G</td>
<td>1-5M</td>
<td>40-100G高效云盘</td>
<td>0.7折</td>
<td>60.00元/1年起</td>
<td>-</td>
</tr>
<tr>
<td>ECS计算型 c5</td>
<td>2核4G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>0.7折</td>
<td>188.00元/1年起</td>
<td>567.65元/3年起</td>
</tr>
<tr>
<td>ECS计算型 c5</td>
<td>4核8G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>0.7折</td>
<td>346.02元/1年起</td>
<td>1038.06元/3年起</td>
</tr>
<tr>
<td>ECS计算型 c5</td>
<td>8核16G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>0.7折</td>
<td>659.63元/1年起</td>
<td>1978.88元/3年起</td>
</tr>
<tr>
<td>ECS共享型s6</td>
<td>1核2G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>1.1折</td>
<td>151.32元/1年起</td>
<td>384.12元/3年起</td>
</tr>
<tr>
<td>ECS共享型s6</td>
<td>2核4G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>1.1折</td>
<td>188.40元/1年起</td>
<td>621.72元/3年起</td>
</tr>
<tr>
<td>ECS共享型s6</td>
<td>2核8G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>1.1折</td>
<td>338.52元/1年起</td>
<td>859.32元/3年起</td>
</tr>
<tr>
<td>ECS共享型s6</td>
<td>4核8G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>1.1折</td>
<td>432.12元/1年起</td>
<td>1595.52元/3年起</td>
</tr>
<tr>
<td>ECS共享型s6</td>
<td>8核16G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>1.1折</td>
<td>806.52元/1年起</td>
<td>4653.00元/3年起</td>
</tr>
<tr>
<td>通用型 g5</td>
<td>2核8G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>0.7折</td>
<td>255.79元/1年起</td>
<td>767.38元/3年起</td>
</tr>
<tr>
<td>通用型 g5</td>
<td>4核16G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>0.7折</td>
<td>479.17元/1年起</td>
<td>1437.52元/3年起</td>
</tr>
<tr>
<td>通用型 g5</td>
<td>8核32G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>0.7折</td>
<td>925.93元/1年起</td>
<td>2777.80元/3年起</td>
</tr>
<tr>
<td>ECS计算型 c6</td>
<td>2核4G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>2.2折</td>
<td>618.24元/1年起</td>
<td>1774.08元/3年起</td>
</tr>
<tr>
<td>ECS计算型 c6</td>
<td>4核8G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>2.2折</td>
<td>1134.36元/1年起</td>
<td>3255.12元/3年起</td>
</tr>
<tr>
<td>ECS计算型 c6</td>
<td>8核16G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>2.2折</td>
<td>2166.60元/1年起</td>
<td>6217.20元/3年起</td>
</tr>
<tr>
<td>ECS内存型 r5</td>
<td>2核16G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>0.7折</td>
<td>317.99元/1年起</td>
<td>953.96元/3年起</td>
</tr>
<tr>
<td>ECS内存型 r5</td>
<td>4核32G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>0.7折</td>
<td>608.82元/1年起</td>
<td>1826.46元/3年起</td>
</tr>
<tr>
<td>ECS内存型 r5</td>
<td>8核64G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>0.7折</td>
<td>1179.97元/1年起</td>
<td>3539.92元/3年起</td>
</tr>
<tr>
<td>ECS计算型 c6a</td>
<td>2核4G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>2.6折</td>
<td>576.07元/1年起</td>
<td>1664.21元/3年起</td>
</tr>
<tr>
<td>ECS计算型 c6a</td>
<td>4核8G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>2.6折</td>
<td>1032.26元/1年起</td>
<td>2982.10元/3年起</td>
</tr>
<tr>
<td>ECS通用型 g6</td>
<td>2核8G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>2.2折</td>
<td>764.52元/1年起</td>
<td>2193.84元/3年起</td>
</tr>
<tr>
<td>ECS通用型 g6</td>
<td>4核16G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>2.2折</td>
<td>1426.92元/1年起</td>
<td>4094.64元/3年起</td>
</tr>
<tr>
<td>ECS通用型 g6</td>
<td>8核32G</td>
<td>1-10M</td>
<td>40-100G可选云盘</td>
<td>2.2折</td>
<td>2751.72元/1年起</td>
<td>7896.24元/3年起</td>
</tr>
<tr>
<td>计算平衡增强型 c6e</td>
<td>2核4G</td>
<td>1-10M</td>
<td>40-100GESSD云盘</td>
<td>2.6折</td>
<td>777.60元/1年起</td>
<td>2246.40元/3年起</td>
</tr>
<tr>
<td>计算平衡增强型 c6e</td>
<td>4核8G</td>
<td>1-10M</td>
<td>40-100GESSD云盘</td>
<td>2.6折</td>
<td>1415.88元/1年起</td>
<td>4090.32元/3年起</td>
</tr>
<tr>
<td>计算平衡增强型 c6e</td>
<td>8核16G</td>
<td>1-10M</td>
<td>40-100GESSD云盘</td>
<td>2.6折</td>
<td>2692.44元/1年起</td>
<td>7778.16元/3年起</td>
</tr>
<tr>
<td>通用平衡增强型 g6e</td>
<td>2核8G</td>
<td>1-10M</td>
<td>40-100GESSD云盘</td>
<td>2.6折</td>
<td>994.68元/1年起</td>
<td>2873.52元/3年起</td>
</tr>
<tr>
<td>通用平衡增强型 g6e</td>
<td>4核16G</td>
<td>1-10M</td>
<td>40-100GESSD云盘</td>
<td>2.6折</td>
<td>1850.04元/1年起</td>
<td>5344.56元/3年起</td>
</tr>
<tr>
<td>通用平衡增强型 g6e</td>
<td>8核32G</td>
<td>1-10M</td>
<td>40-100GESSD云盘</td>
<td>2.6折</td>
<td>3560.76元/1年起</td>
<td>10286.64元/3年起</td>
</tr>
</tbody>
</table>