Cloudmonster 3 Hyper
Cloudmonster 3 Hyper is a road trainer for long and tempo runs. It adds 20% more foam than its predecessor and pairs an updated Helion HF compound with oversized CloudTec for more cushioning, resilience and energy return. Its plateless build and enhanced rocker support forward transitions, while a re-engineered heel and breathable, durable upper aid multi-hour comfort. A rubber outsole supplies road contact.
- Intended uses:
- Long run
Specs
Among 865 listed shoes, this is a high-stack Speed Trainer
- Weight
- 274g
- Of 811 known values: 410 lower, 4 equal, 397 higher. The marker uses the midpoint of equal values.
- Standard50.8th percentile (tie midpoint) / average +7g
- Drop
- 6mm
- Of 815 known values: 221 lower, 156 equal, 438 higher. The marker uses the midpoint of equal values.
- Standard36.7th percentile (tie midpoint) / average -0.8mm
- Stack height (heel/forefoot)
- 39.5 / 33.5mm
- Of 694 known values: 548 lower, 20 equal, 126 higher. The marker uses the midpoint of equal values.
- higherUpper 21%, including ties / average +4.8mm
- Carbon plate
- No
- 83% of 786 known models have no carbon plates
- Midsole
- CloudTec / Helion HF
- Outsole
- rubber
- Reference price
- $220
- US price
Weight measurement and plate details
- Weight note
- US M 8.5 from On official press release.
- Plate note
- Official press release describes the Cloudmonster 3 Hyper as a plateless design.
Related video
Official video from On.
Compare within the database
See where these specs sit in the overall distribution. You can also compare within the same category.
Comparison: All data (865 shoes)
Position map
Weight x stack height
registered average: 265g / 34.7mm (686 shoes)
The scatter plot includes only shoes with both weight and stack height registered.
Spec distributions
Weight
This shoe 274g·registered average 267g (811 shoes)
Drop
This shoe 6mm·registered average 6.8mm (815 shoes)
Stack height
This shoe 39.5mm·registered average 34.7mm (694 shoes)
Items with missing numeric values are excluded. Sample sizes and measurement conditions vary between models; this distribution is not a performance ranking.