The NEMO Tensor All-Season is an Inflatable sleeping pad rated R5.4, weighing 16.0 oz in its Regular size. It measures 3.5 in thick and starts at $220 across 3 sizes.
InflatableType
TaperedShape
GearScore84/ 100Overall, on the default algorithm
MSRP$220Regular size · list price
Value Score80$2.61 / ptBang for buck: price per GearScore point
Warmth (R-value)R 5.4Resistance to heat loss into the ground
GearScore breakdown
How this pad earns its 84 on the default algorithm, factor by factor
Have specific needs in mind — winter camping, ultralight backpacking, or a pad on a budget? Rank this pad against every other on your own custom scoring algorithm.
Open the full pad comparison →Specifications
| Type: | Inflatable |
|---|---|
| Shape: | Tapered |
| R-value: | 5.4 |
| Thickness: | 3.5 in8.9 cm |
| Inflation: | n/s |
| Fabric: | 40D bottom / 20D top |
| Durability score: | 34/100 |
| Features: | Repair kit included |
Sizes
| Size | Weight | Dimensions | Packed | Price |
|---|---|---|---|---|
| Regular default | 16.0 oz454 g | 72×20 in183×51 cm | 10.0×4.0 in25.4×10.2 cm | $220 |
| Regular Wide | 19.0 oz539 g | 72×25 in183×64 cm | 10.5×4.0 in26.7×10.2 cm | n/s |
| Long Wide | 20.0 oz567 g | 76×25 in193×64 cm | 10.5×4.5 in26.7×11.4 cm | n/s |
How scoring works
The same GearScore engine the comparison pages use. This is the default weighting; open the full comparison to re-weight it around your trip.
GearScore blends published specs into one 0 to 100 number. Warmth is a "good enough" gate; the rest score on a sliding scale. Price is a lever you turn on when budget matters.
Customize on the full comparison →Warmth26%
Weight40%
Packed size23%
Price0% · lever
Durability11%
- Sufficiency
- Only needs to be good enough. Warmth works this way: clear your target and you're set, extra warmth adds no points.
- Monotonic
- More (or less) is always better. Lighter beats heavier and smaller packs beat bigger, so they score on a sliding scale.
- Preference
- Type, shape, and inflation are personal preference, never scored. They only filter the list.