Dreame L50 Ultra
A strong mid-price pick for pet homes with carpet: it measured near the top on sand and hair and climbs thresholds most robots at this price can’t.
Amazon $759.99$759.99
The Dreame L50 Ultra is the better robot vacuum overall, rated 4.4 to 4.0. The Dreame L50 Ultra leads on value and cleaning. The Dreame L50 Ultra costs $340 less ($759.99 vs $1,099.99).
Ecovacs Deebot X11 OmniCyclone
A bagless, long-running roller-mop robot for large homes; the newer X12 OmniCyclone does much the same for less.
Amazon $1,099.99$1,099.99
Prices were last checked October 26, 2026 and are subject to change; the price and availability shown by the retailer at the time of purchase apply.
Which should you buy?
- Choose the Dreame L50 Ultra for value ($760 vs $1,100) and cleaning (measured 90% of sand from carpet, 100% of pet hair, no hair tangled vs measured 85% of sand from carpet, 100% of pet hair, no hair tangled).
Scores side by side
Each factor is scored 0-100 against the same fixed reference points for every self-cleaning dock robot vacuum; a clear win is highlighted. How we rank explains each one.
| Factor weight | Dreame L50 Ultra | Ecovacs Deebot X11 OmniCyclone |
|---|---|---|
| Overall rating | 4.4/5 | 4.0/5 |
| Cleaning 30% | 88 measured 90% of sand from carpet, 100% of pet hair, no hair tangled | 76 measured 85% of sand from carpet, 100% of pet hair, no hair tangled |
| Value 25% | 53 $760 | 30 $1,100 |
| Dock 20% | 100 Self-empties the bin, washes the mop, hot-water mop wash, hot-air mop drying, doses detergent | 90 Self-empties the bin, washes the mop, hot-water mop wash, hot-air mop drying, doses detergent |
| Navigation 15% | 100 LiDAR + camera | 100 LiDAR + camera |
| Mopping 10% | 86 Dual spinning pads, leaves its mop at the dock for carpet, extends to edges | 90 Roller, lifts 10 mm, extends to edges |
Independent tests
Dreame L50 Ultra
| Tested by | Carpet deep clean | Pet hair | Hair tangle (0 = none) | Area per charge | Conditions |
|---|---|---|---|---|---|
| Vacuum Wars | 90% | 100% | 0 | 1,129 sq ft | Embedded sand in medium-pile carpet; flattened 2.5 in pet hair on carpet, two runs; 7 in hair tangle on hard floor (0 = none wrapped). |
Ecovacs Deebot X11 OmniCyclone
| Tested by | Carpet deep clean | Pet hair | Hair tangle (0 = none) | Area per charge | Conditions |
|---|---|---|---|---|---|
| Vacuum Wars | 85% | 100% | 0 | 1,436 sq ft | Embedded sand in medium-pile carpet; flattened 2.5 in pet hair on carpet, two runs; 7 in hair tangle on hard floor (0 = none wrapped). |
Specifications
| Dreame L50 Ultra | Ecovacs Deebot X11 OmniCyclone | |
|---|---|---|
| Vacuum | ||
| Claimed suction | 19,500 Pa | 19,500 Pa |
| Main brush | HyperStream Detangling DuoBrush (bristled rubber brush plus TPU rubber brush) | single floating bristle brush (cyclone-directed, ZeroTangle 3.0) |
| Dustbin | 395 mL | 220 mL |
| Extending side brush | Yes | No |
| Mopping | ||
| Mop | Dual spinning pads, leaves its mop at the dock for carpet, extends to edges | Roller, lifts 10 mm, extends to edges |
| Mop lift | 10.5 mm | 10 mm |
| Leaves mop at dock | Yes | No |
| Extending mop | Yes | Yes |
| Water tank | - | 110 mL |
| Dock | ||
| Dock | Washes mop + empties | Washes mop + empties |
| Self-empties | Yes | Yes |
| Dust bag | 3.2 L | - |
| Washes mop | Yes | Yes |
| Hot-water wash | Yes | Yes |
| Hot-air drying | Yes | Yes |
| Detergent dosing | Yes | Yes |
| Water hookup option | - | No |
| Clean water tank | 4.5 L | 3.2 L |
| Navigation & app | ||
| Navigation | LiDAR + camera | LiDAR + camera |
| Obstacle avoidance | 3D structured light plus AI RGB camera, recognises 180+ object types | RGB camera plus 3D depth sensing with AI object recognition (AIVI 3D 3.0) |
| Climbs thresholds | 60 mm | 24 mm |
| Matter | Yes | - |
| Voice assistants | Alexa, Siri, Google Home | YIKO |
| Build | ||
| Height | 3.8 in (97 mm) | 3.9 in (98 mm) |
| Retracting LiDAR | - | No |
| Battery | 6,400 mAh | 6,400 mAh |
| Run time | Up to 3 h 20 min | Up to 4 h 14 min |
| Weight | 9.8 lb (4.4 kg) | 11.7 lb (5.3 kg) |
| Warranty | 3 years | 1 year |
| Released | 2025-02 | 2025-09 |