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3D Distance Calculator

Calculate the distance between two points in 3D space.

Result

Distance
7.0711

About the 3D Distance Calculator

Extending the distance formula into three dimensions lets you measure the straight-line gap between two points in space, not just on a flat plane. Our 3D Distance Calculator finds that distance directly from two sets of x, y, z coordinates.

How It Works

The calculator finds the difference between each pair of matching coordinates (x, y, and z), squares each difference, sums the three squared values, and takes the square root - the same Pythagorean approach used in two dimensions, extended with one additional term.

Distance = √((x₂−x₁)² + (y₂−y₁)² + (z₂−z₁)²)

Formula & Methodology

The 2D distance formula already comes from treating the horizontal and vertical gaps between two points as the legs of a right triangle. Extending to 3D applies the Pythagorean relationship twice in sequence: once to find the straight-line distance across the x-y plane, and again treating that planar distance and the z-gap as the two legs of a second right triangle. Algebraically, this collapses into simply adding a third squared term under the same square root, since squaring and summing is associative regardless of how many dimensions are involved.

Step-by-Step: Calculating It By Hand

  1. 1Subtract the two x-coordinates to find the x-difference.
  2. 2Subtract the two y-coordinates to find the y-difference, and the two z-coordinates to find the z-difference.
  3. 3Square all three differences and add them together.
  4. 4Take the square root of that sum to find the distance.

Examples

Basic 3D distance

The points (1, 2, 3) and (4, 6, 8) are √((4−1)² + (6−2)² + (8−3)²) = √(9+16+25) = √50 ≈ 7.07 units apart.

Same point on one axis

Points (0, 0, 5) and (3, 4, 5) share the same z-coordinate, so the distance reduces to the familiar 2D calculation: √(3²+4²) = 5.

Advantages

  • Extends the familiar Pythagorean distance formula correctly into three dimensions
  • Handles positive, negative, or zero coordinates on any axis without adjustment
  • Fast and precise compared to manually squaring and summing three differences
  • Useful across engineering, 3D graphics, and physics applications

Common Mistakes

  • Forgetting the z-coordinate entirely and only computing the 2D distance
  • Subtracting coordinates in an inconsistent order across the three axes
  • Not squaring each difference before summing, which produces a nonsensical result
  • Mixing up which point is 'first' and which is 'second' - though the final distance comes out the same either way since the differences get squared

Edge Cases to Watch For

  • Two identical points (all three coordinates matching) produce a distance of exactly zero.
  • If two points share the same value on one axis, that axis contributes zero to the distance, effectively reducing the calculation to two dimensions.
  • Negative coordinates work correctly without special handling, since squaring a difference always produces a non-negative result regardless of sign.
  • This formula assumes standard Euclidean (straight-line) space - it doesn't apply directly to distances measured along a curved or non-Euclidean surface.

Common Use Cases

  • 3D graphics, game development, and spatial modeling
  • Engineering and physics problems involving points in space
  • Geometry and vector coursework extending 2D concepts to 3D
  • GPS or positioning calculations that include elevation as a third dimension
Written & fact-checked by the Calculateus TeamLast updated August 5, 2026How we verify our formulas

Frequently asked questions

How is this different from the 2D distance formula?

It's the same Pythagorean idea extended one more dimension - instead of √((x₂−x₁)² + (y₂−y₁)²), you add a z-term: √((x₂−x₁)² + (y₂−y₁)² + (z₂−z₁)²).

Conclusion

Adding a third dimension doesn't change the underlying logic of the distance formula, just the number of squared terms involved. Our Midpoint Calculator covers the related task of finding the point exactly halfway between two 3D coordinates.