One fixed month of coding help. Different countries. Different cost.
This page asks one simpler question: where does 1 month of a coding-assistant inference workflow land lowest in this estimate? We keep that month fixed at 22 workdays × 10 coding sessions/day × ~45K total tokens/session, compare the same inference workflow across countries, then add a PPP-adjusted second view.
Start with the country cost, use power to understand why the number moves, then add the PPP view before moving into the economic consequence.
22 workdays × 10 coding sessions/day × ~45K total tokens/session. 9.9M total tokens, modeled as 70% input / 30% output.
One of the clearest country-level reasons the monthly inference estimate changes.
A second view: how that same inference workflow looks after local price-level adjustment.
In this model, one coding-assistant inference month lands at different costs by country.
Each country is scored against the same month: 1 month of a coding-assistant inference workflow. Under the hood that means 22 workdays × 10 coding sessions/day × ~45K total tokens/session. What changes is the estimated model spend once business electricity and local price levels are fed into the formula.
Lower business-electricity benchmarks tend to pull the monthly coding-assistant inference estimate down.
Large developed markets stay competitive, but many do not land at the bottom once power is added.
Higher business-electricity benchmarks and higher price levels push some countries toward the top.
Cost of the same coding-assistant inference month
This table compares the same coding-assistant inference month across countries. Sort by monthly cost to see where it lands lowest in the estimate, by business electricity to compare a main input, or by PPP-adjusted cost to add the second lens.
| # | Country | Region | |||
|---|---|---|---|---|---|
| 01 | Singapore | Asia-Pacific | $28.42 | $0.055 | $17.10 |
| 02 | Saudi Arabia | MEA | $29.68 | $0.074 | $14.60 |
| 03 | Egypt | MEA | $29.92 | $0.097 | $4.13 |
| 04 | Türkiye | Europe | $30.37 | $0.089 | $10.70 |
| 05 | Nigeria | Africa | $32.01 | $0.119 | $3.82 |
| 06 | Indonesia | Asia-Pacific | $32.06 | $0.109 | $9.60 |
| 07 | Chile | Americas | $32.31 | $0.102 | $14.92 |
| 08 | Argentina | Americas | $32.89 | $0.108 | $15.10 |
| 09 | Malaysia | Asia-Pacific | $33.20 | $0.120 | $10.17 |
| 10 | Vietnam | Asia-Pacific | $33.59 | $0.125 | $9.67 |
| 11 | UAE | MEA | $34.01 | $0.109 | $21.58 |
| 12 | South Korea | Asia-Pacific | $34.27 | $0.114 | $20.34 |
| 13 | Norway | Europe | $34.47 | $0.101 | $29.33 |
| 14 | Sweden | Europe | $34.50 | $0.104 | $27.72 |
| 15 | Poland | Europe | $35.97 | $0.137 | $17.61 |
| 16 | Canada | Americas | $36.61 | $0.123 | $30.76 |
| 17 | Israel | MEA | $36.73 | $0.118 | $34.77 |
| 18 | China | Asia-Pacific | $36.87 | $0.146 | $18.10 |
| 19 | France | Europe | $37.31 | $0.136 | $27.51 |
| 20 | Finland | Europe | $37.47 | $0.133 | $30.58 |
| 21 | South Africa | Africa | $37.88 | $0.161 | $15.36 |
| 22 | Netherlands | Europe | $38.43 | $0.144 | $30.42 |
| 23 | India | Asia-Pacific | $39.03 | $0.182 | $9.53 |
| 24 | Mexico | Americas | $39.07 | $0.165 | $21.17 |
| 25 | Switzerland | Europe | $39.45 | $0.136 | $43.59 |
| 26 | Brazil | Americas | $39.60 | $0.175 | $18.28 |
| 27 | Italy | Europe | $39.99 | $0.168 | $25.95 |
| 28 | United Kingdom | Europe | $42.06 | $0.177 | $35.70 |
| 29 | Kenya | Africa | $42.98 | $0.217 | $13.79 |
| 30 | Ireland | Europe | $43.08 | $0.190 | $34.55 |
| 31 | United States | Americas | $43.34 | $0.181 | $43.34 |
| 32 | Japan | Asia-Pacific | $44.25 | $0.212 | $27.61 |
| 33 | Australia | Asia-Pacific | $45.06 | $0.204 | $40.63 |
| 34 | Spain | Europe | $48.95 | $0.260 | $29.78 |
| 35 | Germany | Europe | $49.43 | $0.256 | $37.50 |
In this model, cheaper power often lines up with cheaper AI.
The coding-assistant inference month stays fixed. What moves most clearly by country is business electricity. Lower power benchmarks often line up with lower monthly inference cost in the estimate, even though price levels and other factors still matter too.
The lowest dollar estimate is not always the lowest PPP-adjusted estimate.
First, ask where the same coding-assistant inference month lands lowest in dollar terms. Then ask how that same estimate looks after local price-level adjustment. That is what the PPP view adds as a second lens.
The rankings overlap, but not perfectly. Some countries look cheap on the raw monthly cost and even cheaper after local price-level adjustment. Others do not. This is still a price-level view inside the model, not a household income measure or a direct wage benchmark.
India is estimated at $39.03 on the dollar view, but falls to $9.53 after PPP price-level adjustment.
United States sits at $43.34 on both views because the U.S. price level is the reference point for the ratio.
Where the same coding-assistant inference month lands lowest in the raw dollar estimate.
Where that same coding-assistant inference estimate lands lowest after local price-level adjustment.
If this pattern holds, cheaper coding assistance could matter.
Lower coding-assistant inference cost is not just a pricing detail. It could change how often teams use AI while they build software, how widely coding help gets deployed inside companies, and how fast those tools spread through an economy. Over time, cheaper AI help could become a structural advantage, but that implication is broader than this dataset alone can prove.
More experimentation
If each run is cheaper, teams may test more prompts, workflows, and products.
More automation
Lower inference cost could make AI coding help easier to put in the hands of more developers.
Faster adoption
Countries and companies with cheaper AI help may be able to scale usage earlier and more widely.
The underlying monthly inference model spend has been trending down.
This line shows the broad direction of change for the same standardized coding-assistant inference month between April 2024 and March 2026. It is meant to show directional deflation in the modeled basket, not serve as an audited month-by-month benchmark.
What counts as one month
For clarity, this page uses one fixed comparison unit: 1 month of a coding-assistant inference workflow. The scenario is 22 workdays × 10 coding sessions/day × ~45K total tokens/session, or about 9.9M total inference tokens all-in.
Under the hood, that works out to 9.9M total tokens, modeled as 70% input / 30% output across a coding-focused basket of current OpenAI, Anthropic, and Google inference models.
The Token Index is a sourced model, not a live benchmark. It starts from official model list prices reviewed on April 20, 2026, then adjusts that same month with two cross-country benchmarks: a World Bank business-electricity tariff benchmark from 2019 and a World Bank PPP price-level ratio from 2024.
Primary sources reviewed: OpenAI pricing, Anthropic pricing, Gemini pricing, and IEA Energy and AI, World Bank indicators API, and World Bank electricity benchmark.
We are not claiming that a coding tool has a different retail seat price in each country. We are estimating what the same month of inference model usage would cost under different national cost conditions, then showing a PPP-adjusted second view. This does not include prompt caching, enterprise discounts, or SaaS markup.
1 month of a coding-assistant inference workflow. 9.9M total tokens, modeled as 70% input / 30% output.
PPP-adjusted cost. This shows how the same inference workflow looks after local price-level adjustment.
Median business electricity benchmark: $0.136/kWh.
Source-backed country inputs
Every country row below uses the same source years: business electricity benchmark from 2019 and price-level ratio from 2024. The coding-focused inference basket centers on $3.92 per 1M tokens, or $38.84 for the standard inference month before country adjustments. The current cross-country average estimate is $37.29.
| Country | Monthly cost | Business power | Price level | PPP-adjusted |
|---|---|---|---|---|
| Singapore | $28.42 | $0.055 | 0.60x | $17.10 |
| Saudi Arabia | $29.68 | $0.074 | 0.49x | $14.60 |
| Egypt | $29.92 | $0.097 | 0.14x | $4.13 |
| Türkiye | $30.37 | $0.089 | 0.35x | $10.70 |
| Nigeria | $32.01 | $0.119 | 0.12x | $3.82 |
| Indonesia | $32.06 | $0.109 | 0.30x | $9.60 |
| Chile | $32.31 | $0.102 | 0.46x | $14.92 |
| Argentina | $32.89 | $0.108 | 0.46x | $15.10 |
| Malaysia | $33.20 | $0.120 | 0.31x | $10.17 |
| Vietnam | $33.59 | $0.125 | 0.29x | $9.67 |
| UAE | $34.01 | $0.109 | 0.63x | $21.58 |
| South Korea | $34.27 | $0.114 | 0.59x | $20.34 |
| Norway | $34.47 | $0.101 | 0.85x | $29.33 |
| Sweden | $34.50 | $0.104 | 0.80x | $27.72 |
| Poland | $35.97 | $0.137 | 0.49x | $17.61 |
| Canada | $36.61 | $0.123 | 0.84x | $30.76 |
| Israel | $36.73 | $0.118 | 0.95x | $34.77 |
| China | $36.87 | $0.146 | 0.49x | $18.10 |
| France | $37.31 | $0.136 | 0.74x | $27.51 |
| Finland | $37.47 | $0.133 | 0.82x | $30.58 |
| South Africa | $37.88 | $0.161 | 0.41x | $15.36 |
| Netherlands | $38.43 | $0.144 | 0.79x | $30.42 |
| India | $39.03 | $0.182 | 0.24x | $9.53 |
| Mexico | $39.07 | $0.165 | 0.54x | $21.17 |
| Switzerland | $39.45 | $0.136 | 1.11x | $43.59 |
| Brazil | $39.60 | $0.175 | 0.46x | $18.28 |
| Italy | $39.99 | $0.168 | 0.65x | $25.95 |
| United Kingdom | $42.06 | $0.177 | 0.85x | $35.70 |
| Kenya | $42.98 | $0.217 | 0.32x | $13.79 |
| Ireland | $43.08 | $0.190 | 0.80x | $34.55 |
| United States | $43.34 | $0.181 | 1.00x | $43.34 |
| Japan | $44.25 | $0.212 | 0.62x | $27.61 |
| Australia | $45.06 | $0.204 | 0.90x | $40.63 |
| Spain | $48.95 | $0.260 | 0.61x | $29.78 |
| Germany | $49.43 | $0.256 | 0.76x | $37.50 |