Glycerin Flex
Glycerin Flex is a flexible daily road trainer in the Glycerin series. It combines DNA TUNED, FlexZone technology, and a flat-knit upper while keeping the cushioning focus of the line.
- Intended uses:
- Daily, Long run, Walking
Specs
Among 869 listed shoes, this is a lighter Daily Trainer
- Weight
- 250g
- Of 814 known values: 234 lower, 20 equal, 560 higher. The marker uses the midpoint of equal values.
- lighterLower 31.2%, including ties / average -17g
- Drop
- 6mm
- Of 818 known values: 221 lower, 157 equal, 440 higher. The marker uses the midpoint of equal values.
- Standard36.6th percentile (tie midpoint) / average -0.8mm
- Stack height (heel/forefoot)
- 36 / 30mm
- Of 694 known values: 366 lower, 43 equal, 285 higher. The marker uses the midpoint of equal values.
- Standard55.8th percentile (tie midpoint) / average +1.3mm
- Carbon plate
- No
- 83% of 787 known models have no carbon plates
- Midsole
- DNA TUNED
- Outsole
- Rubber
- Reference price
- $170
- US price
Weight measurement and plate details
- Weight note
- Brooks Japan official men's product page lists 250g at 27cm. Brooks US lists 9.1oz / 258.0g for its men's sample, so the Japanese 27cm value is used for the JP row.
- Plate note
- No carbon plate is stated on Brooks Japan or Brooks US official pages. The official positioning centers on FlexZone technology and DNA TUNED cushioning.
Related video
Shoe overview by Running Warehouse.
Compare within the database
See where these specs sit in the overall distribution. You can also compare within the same category.
Comparison: All data (869 shoes)
Position map
Weight x stack height
registered average: 266g / 34.7mm (686 shoes)
The scatter plot includes only shoes with both weight and stack height registered.
Spec distributions
Weight
This shoe 250g·registered average 267g (814 shoes)
Drop
This shoe 6mm·registered average 6.8mm (818 shoes)
Stack height
This shoe 36mm·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.