Current Petrol & Diesel Prices in Germany
Enter your town or use automatic location detection to find the cheapest petrol stations near you.
Price forecasts are calculated automatically by benzinpreis.de – based on historical price patterns and weekday/time-of-day cycles. They are not official statements by the filling stations. Below you can see the measured accuracy so far:
Statistics are being calculated – please check back later.
The direction accuracy measures how often the model correctly predicted the direction of a price movement – only among cases where a real change occurred. False alarms arise when a change is forecast but does not materialise.
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Search
Enter a city, postcode or street and click "Search". Alternatively, use the GPS location button (📍) – your browser will ask for permission briefly.
Fuel type
Choose Super E5, Super E10 or Diesel from the dropdown. The same sorting and filter rules apply to all three fuel types.
Results list
| Column | Meaning |
|---|---|
| Price / colour | cheap = below the national average expensive = above the national average |
| Δ∅ | Deviation from the national average price in cents (e.g. −3 ct = 3 ct cheaper than average) |
| Last change | When and how much the price last changed (↑ more expensive, ↓ cheaper). The age of the report is shown in brackets. |
| Forecast | If available: predicted next price change based on historical patterns. |
| Distance | Straight-line kilometres to the searched location (only with active GPS or exact address). |
Sorting
Use the Distance and Price buttons to sort the list by proximity or cheapest price.
Favourites & Alerts
The ★ symbol saves a station as a favourite (locally in your browser). The ✉ button opens the alert service: you can receive an e-mail whenever the price at this station changes.
Data source
Prices are supplied by the Fuel Market Transparency Office (MTS-K) and are updated every minute.
Important notes on price forecasts
The forecasts are predictions by benzinpreis.de, not by the petrol stations. Statistically, around 70 % of predictions are correct. In 15 % of cases there is no price change at all, and in a further 15 % the forecast turns out to be wrong.