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Altra

Vanish Tempo

Speed TrainerReleased 2022-09-12JP

Vanish Tempo is a plateless speed trainer built on a 33mm zero-drop platform of Altra EGO PRO. Its lightweight Slim FootShape design covers tempo sessions, intervals, and road racing without a rigid plate.

Intended uses:
Intervals, Tempo, Race
3 sources · checked 2026-08-08

Specs

Among 869 listed shoes, this is a lighter Speed Trainer

Weight
232g
Of 814 known values: 160 lower, 5 equal, 649 higher. The marker uses the midpoint of equal values.
lighterLower 20.3%, including ties / average -35g
Drop
0mm
Of 818 known values: 0 lower, 48 equal, 770 higher. The marker uses the midpoint of equal values.
lowerLower 5.9%, including ties / average -6.8mm
Stack height (heel/forefoot)
33 / 33mm
Of 694 known values: 230 lower, 40 equal, 424 higher. The marker uses the midpoint of equal values.
Standard36th percentile (tie midpoint) / average -1.7mm
Carbon plate
No
83% of 787 known models have no carbon plates
Midsole
Altra EGO PRO
Outsole
EVA Rubber
Reference price
$170
US price
Weight measurement and plate details
Weight note
The exact Runners Pulse launch article lists 232g for a men's US 10.5 shoe.
Plate note
Fleet Feet's exact product description explicitly identifies the construction as plateless, so carbon_plate is false.

Related video

Official video from Altra Running.

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

This shoeregistered average

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

This shoeregistered average

Weight

This shoe 232g·registered average 267g (814 shoes)

97g375g

Drop

This shoe 0mm·registered average 6.8mm (818 shoes)

0mm13.8mm

Stack height

This shoe 33mm·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.