Grindelwald & Wengen
World-renowned alpine scenery with Eiger, Mönch, and Jungfrau peaks; home to the legendary Lauberhorn World Cup run and the modern Eiger Express cableway.
Side-by-side comparison of Grindelwald & Wengen, Saas-Fee and Zermatt based on Alpe Match data: ski area, altitude, size, prices and access.
| Grindelwald & Wengen | Saas-Fee | Zermatt | |
|---|---|---|---|
| Country | Switzerland | Switzerland | Switzerland |
| Region | Canton of Bern | Saas Valley | Valais |
| Price level | – | – | €€€€ |
| Best for | Families, Groups of friends, Couples, Solo travellers | Families, Couples, Groups of friends, Solo travellers | Families, Couples, Groups of friends, Solo travellers |
| Car-free centre | Partly | Yes | Yes |
| Nearest airports | Zurich Airport (ZRH) - approx. 190 km (2.5-3 hours); Basel-Mulhouse-Freiburg Airport (BSL) - approx. 170 km (2-2.5 hours) | Sion (approx. 75 km); Geneva (approx. 230 km) | Geneva Airport (GVA) - approx. 235 km; Zurich Airport (ZRH) - approx. 250 km |
| Ski area | 160 km | 100 km | 360 km |
| Blue slopes | 52 km | 25 km | 74 km |
| Red slopes | 82 km | 50 km | 227 km |
| Black slopes | 26 km | 25 km | 20 km |
| Ski lifts | 33 | 22 | 52 |
| Village altitude | 1,034 m | 1,790 m | 1,620 m |
| Maximum altitude | 2,500 m | 3,600 m | 3,899 m |
| Hiking trails | 300 km | 350 km | 400 km |
| Population | 5,125 | 1,638 | 6,099 |
| Accommodation beds | 12,000 | 7,100 | 12,909 |
World-renowned alpine scenery with Eiger, Mönch, and Jungfrau peaks; home to the legendary Lauberhorn World Cup run and the modern Eiger Express cableway.
Known as the 'Pearl of the Alps,' Saas-Fee offers year-round glacier skiing, a car-free authentic atmosphere, and the world's highest revolving restaurant surrounded by 13 four-thousand-meter peaks.
Zermatt is a world-renowned car-free destination famous for the iconic Matterhorn, year-round glacier skiing, and high-altitude luxury. It offers a massive interconnected ski area with Italy and a blend of authentic alpine charm and modern infrastructure.
Data analysis for season: Winter
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