Average Price for GCP Regions
Currently the cheapest region in GCP is Mexico(Querétaro) / northamerica-south1 with average per hour price is $0.073 comparing to 1.8x more expensive Saudi Arabia(Dammam) / me-central2 . Below, you can find a chart showing the average price in USD per hour for the most common instances in each region. The calculation is based on: n2-standard-2, n2d-standard-2 and e2-standard-2 instances. Other instance types are excluded as they are not offered in all regions. The chart displays the average prices across various regions. However, certain instances may be less expensive in regions other than the cheapest one. To find the cheapest region, visit the main page . The "Best Price Region" is indicated in the corresponding column.
The latest update occurred on December 6, 2024 at 12:01 AM UTC
Here is the map with all GCP regions https://cloud.google.com/about/locations
Geography | Location | Location | Region | Average price of Instances per hour (USD) |
---|---|---|---|---|
North America | Mexico | Querétaro | northamerica-south1 | 0.07304 |
North America | Iowa | Council Bluffs | us-central1 | 0.08287 |
North America | South Carolina | Moncks Corner | us-east1 | 0.08287 |
North America | Ohio | Columbus | us-east5 | 0.08287 |
North America | Oregon | The Dalles | us-west1 | 0.08287 |
APAC | India | Mumbai | asia-south1 | 0.0843 |
Middle East | Israel | Tel Aviv | me-west1 | 0.09116 |
Europe | Belgium | St. Ghislain | europe-west1 | 0.09117 |
Europe | Finland | Hamina | europe-north1 | 0.09124 |
Europe | Netherlands | Eemshaven | europe-west4 | 0.09124 |
North America | Québec | Montréal | northamerica-northeast1 | 0.09124 |
North America | Ontario | Toronto | northamerica-northeast2 | 0.09124 |
North America | Nevada | Las Vegas | us-west4 | 0.09333 |
North America | Virginia | Ashburn | us-east4 | 0.09334 |
APAC | Taiwan | Changhua County | asia-east1 | 0.09596 |
Europe | Italy | Milan | europe-west8 | 0.09613 |
Europe | France | Paris | europe-west9 | 0.09613 |
Europe | Spain | Madrid | europe-southwest1 | 0.09779 |
North America | Texas | Dallas | us-south1 | 0.09779 |
APAC | India | Delhi | asia-south2 | 0.09954 |
North America | California | Los Angeles | us-west2 | 0.09954 |
North America | Utah | Salt Lake City | us-west3 | 0.09954 |
APAC | Australia | Melbourne | australia-southeast2 | 0.09995 |
Middle East | Qatar | Doha | me-central1 | 0.10069 |
APAC | Singapore | Jurong West | asia-southeast1 | 0.10224 |
APAC | Japan | Tokyo | asia-northeast1 | 0.10632 |
APAC | Japan | Osaka | asia-northeast2 | 0.1064 |
APAC | South Korea | Seoul | asia-northeast3 | 0.1064 |
Europe | Poland | Warsaw | europe-central2 | 0.10677 |
Europe | England | London | europe-west2 | 0.10677 |
Europe | Germany | Frankfurt | europe-west3 | 0.10677 |
Europe | Italy | Turin | europe-west12 | 0.10691 |
Africa | South Africa | Johannesburg | africa-south1 | 0.1084 |
APAC | Indonesia | Jakarta | asia-southeast2 | 0.11144 |
Europe | Switzerland | Zurich | europe-west6 | 0.11594 |
APAC | Hong Kong | Hong Kong | asia-east2 | 0.11596 |
APAC | Australia | Sydney | australia-southeast1 | 0.11759 |
South America | Chile | Santiago | southamerica-west1 | 0.11851 |
Europe | Germany | Berlin | europe-west10 | 0.12763 |
South America | Brazil | Osasco, São Paulo | southamerica-east1 | 0.13155 |
Middle East | Saudi Arabia | Dammam | me-central2 | 0.1326 |