The Upside Down Berlin
The Upside Down Berlin is a 1-hour sightseeing tour in Berlin. £19.80 — 74% below the Berlin median tour price of £77.21, across 594 priced tours. It holds a 4.8 out of 5 rating from 152 reviews. Listed under Tours & Sightseeing, Classes & Workshops, Budget Friendly. The median tour price in Berlin is £77.21, measured across 594 priced tours. The 25th-percentile tour price in Berlin is £25.02, measured across 594 priced tours.
Berlin⏱ 1 hour★4.8(152 Rating)From £20

Dive into a world where imagination flips gravity at The Upside Down. Experience Berlin through a bold, playful lens as you explore 25+ immersive themed rooms blending culture, history, and art into one unforgettable adventure. Expect mind bending optical illusions, upside down designs, and interactive exhibits that bring Berlin’s spirit to life, surprises guaranteed.
Here, you’re not just watching, you’re creating. Belt it out in the Bowie karaoke studio, dance like nobody’s watching at the silent glitter disco, dress up in Berlin extravaganza and strike a pose on the catwalk. Locals, visitors, shy dancers, bold singers, everyone belongs.
Wrap it up at The Upside Down Hangout and Karaoke: cozy, colorful, and perfect for chilling with friends or sparking new ideas. Refuel with crave worthy bites, your famous freak shake and vibrant, tasty cocktails. Warning: leaving inspired is very likely.
Key facts
- £19.80 — 74% below the Berlin median tour price of £77.21, across 594 priced tours.
- 1 h — 67% shorter than the Berlin median of 3 h, across 593 tours.
- The median tour price in Berlin is £77.21, measured across 594 priced tours.
- The 25th-percentile tour price in Berlin is £25.02, measured across 594 priced tours.
- The 75th-percentile tour price in Berlin is £211.01, measured across 594 priced tours.
- The median tour in Berlin runs 3 h, measured across 593 tours with a published duration.
- 98% of Berlin's 594 categorised tours carry the "Tours & Sightseeing" tag, the most common of 17 categories in the city.
Figures are computed from our own dataset at build time; each line states the sample it is based on. How we calculate these