Caldera 8
Caldera 8 is a high-cushion trail shoe built for long outings and races beyond 50K. Nitrogen-infused DNA LOFT v3 provides soft, durable cushioning, while raised sidewalls and a widened base help steady the foot over uneven ground. Grooves in the outsole improve adaptability, and TrailTack Green rubber supplies wet-and-dry grip. A quick-drying mesh upper resists scratches and snags for extended trail use.
- Intended uses:
- Trail
Specs
Among 865 listed shoes, this is a heavier / high-stack Trail
- Weight
- 301g
- Of 811 known values: 651 lower, 4 equal, 156 higher. The marker uses the midpoint of equal values.
- heavierUpper 19.7%, including ties / average +34g
- 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 / 33mm
- Of 694 known values: 514 lower, 33 equal, 147 higher. The marker uses the midpoint of equal values.
- higherUpper 25.9%, including ties / average +4.3mm
- Carbon plate
- No
- 83% of 786 known models have no carbon plates
- Midsole
- DNA LOFT v3
- Outsole
- TrailTack Green
- Reference price
- $150
- US price
Weight measurement and plate details
- Weight note
- Published sample weight from prior source pass; Brooks Japan product page checked here did not state numeric sample weight in accessible text.
- Plate note
- No carbon plate stated
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 301g·registered average 267g (811 shoes)
Drop
This shoe 6mm·registered average 6.8mm (815 shoes)
Stack height
This shoe 39mm·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.