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Brooks

Hyperion 3

Speed TrainerReleased 2025-07-25JP

Hyperion 3 is a speed trainer from the Hyperion series that can be used for everything from tempo running and intervals to races. This is a fully renewed model that uses DNA FLASH v2 and has a 2mm larger midsole than the previous model.

Intended uses:
Daily
3 sources · checked 2026-07-29

Specs

Among 865 listed shoes, this is a lighter Speed Trainer

Weight
232.5g
Of 811 known values: 165 lower, 1 equal, 645 higher. The marker uses the midpoint of equal values.
lighterLower 20.5%, including ties / average -34g
Drop
8mm
Of 815 known values: 409 lower, 237 equal, 169 higher. The marker uses the midpoint of equal values.
Standard64.7th percentile (tie midpoint) / average +1.2mm
Stack height (heel/forefoot)
36 / 28mm
Of 694 known values: 365 lower, 43 equal, 286 higher. The marker uses the midpoint of equal values.
Standard55.7th percentile (tie midpoint) / average +1.3mm
Carbon plate
No
83% of 786 known models have no carbon plates
Midsole
DNA FLASH v2
Outsole
-
Not registered
Reference price
$140
US price
Weight measurement and plate details
Weight note
Men's sample from prior Brooks official page pass; Brooks Japan official LP checked here did not state numeric sample weight in accessible text.
Plate note
No carbon plate stated on official page

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

This shoeregistered average

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

This shoeregistered average

Weight

This shoe 232.5g·registered average 267g (811 shoes)

97g375g

Drop

This shoe 8mm·registered average 6.8mm (815 shoes)

0mm13.8mm

Stack height

This shoe 36mm·registered average 34.7mm (694 shoes)

10.5mm58mm

Items with missing numeric values are excluded. Sample sizes and measurement conditions vary between models; this distribution is not a performance ranking.