The 2026 Cost-Per-Part Benchmark: CNC, SLS, MJF, L-PBF and Injection Moulding Compared

Why Standard Cost-Per-Part Comparisons Mislead Buyers

Every supplier publishes the cost curve that flatters its own technology. Machine builders highlight cycle time at high volumes, additive bureaus emphasise zero-tooling economics, and CNC shops quote machine-hour rates without isolating setup. Each curve is mathematically honest in isolation, yet none reveals the crossover points where another process undercuts it. Buyers comparing three quotes for the same part are effectively comparing three different cost models, not three prices.

Three blind spots distort almost every comparison. Buyers overlook tooling amortisation when judging moulding against machining, ignore scrap and yield loss when reading per-part figures, and underestimate setup as a per-unit cost at low volumes, where one fixture absorbs the entire batch. Lead time hides the fourth: a four-week injection mould can exceed the total project cost of a higher per-part 3D print delivered in five days once delay and inventory carrying costs are counted. MakerVerse addresses this directly: one CAD upload returns itemised quotes across all five technologies: same part, same inputs, directly comparable.

Volume Thresholds: When Each Technology Wins on Cost-Per-Part

Volume is the master variable in any cost-per-part calculation. Across five tiers (1–10, 10–100, 100–1,000, 1,000–10,000, and 10,000+ units), the dominant cost driver shifts fundamentally, and with it the technology that delivers the lowest landed price. At one extreme, setup and machine hours dwarf material spend; at the other, tooling amortisation and cycle time decide everything. Reading a quote without knowing which tier you sit in is reading the wrong cost model.

The table below maps each tier to its dominant cost driver and the technology that typically wins on cost-per-part.

Consider a simple aluminium bracket machined at a setup cost of roughly $150. At 50 units, that setup adds about $3.00 to every part, roughly 17% of a $17.50 cost-per-part. Run the same job at 5,000 units, and the same setup falls to $0.03 per part, well under 1% of the total. The machine hour rate and material cost stay constant; only setup fee amortisation moves, and it moves enough to redraw the entire technology comparison. At high volumes, high-volume CNC machining introduces its own set of constraints that can shift the crossover point toward injection moulding sooner than expected.

3D Printing (SLS, MJF, FDM): Flat Curve up to ~100 Parts

Additive manufacturing draws a near-flat cost curve. There is no tooling, setup is minimal, and the per-part cost from unit 1 to unit 100 stays almost identical. Material utilisation above 95% keeps waste low across the run, which traditional subtractive processes cannot match. The crossover signal arrives above roughly 50–100 parts for simple geometries: at that point, CNC or moulding typically reclaims the cost lead, and AM only stays competitive when the geometry is genuinely impossible to machine, such as conformal channels or lattice structures. Hopper Mobility, for example, ordered functional MJF dashboard housings via MakerVerse and received them in eight days, at a cost-per-part competitive with CNC at the same volume.

CNC Machining: Setup-Dominated Below 100, Material-Driven Above

CNC cost-per-part follows a steep asymmetric curve driven by setup amortisation. A typical $150 setup fee is absorbed entirely by the first part, but spreads to roughly $0.15 across 1,000 units. Between part 1 and part 100, CNC unit costs typically fall 60–70%, after which the curve flattens and direct materials plus machine hours become the dominant drivers.

The table below shows how the same $150 setup fee distributes across batch sizes.

This places the CNC sweet spot at roughly 50–2,000 parts, where setup is diluted but tooling amortisation has not yet tipped the case toward injection moulding.

Injection Moulding: Tooling Amortisation Defines the Break-Even

Injection moulding splits cost into one-time tooling and recurring material plus processing. A $20,000 mould with $0.15 material and $0.25 processing delivers $2.40 per part at 10,000 units, $0.80 at 50,000, and $0.60 at 100,000. Only tooling amortisation changes; everything else stays flat. Against CNC and AM, the realistic break-even sits between 500 and 2,000 parts, depending on geometry complexity and resin choice.

The “cheapest tooling quote” trap erases those gains. A mould 20% cheaper may use lower steel grades, simplified cooling, or fewer hardened inserts, pushing cycle time and scrap rates up. A 5% scrap increase at high volumes can dwarf the original tooling saving. Understanding soft tooling vs. hard tooling trade-offs is essential before committing to any quote. Not sure where your part sits? Upload your CAD file to MakerVerse and compare all three cost curves against your actual geometry.

The GE-T case illustrates this clearly. The innovation platform needed injection-moulded PA6 parts for a small batch run and initially approached local toolmakers, only to find lead times and tooling costs that made the economics unworkable at that volume. Sourcing through MakerVerse delivered faster turnaround and lower cost than any local quote, without compromising part quality. At small batch sizes, platform-based sourcing can close the gap between injection moulding’s theoretical break-even and what procurement actually costs in practice.

How to Audit a Per-Part Quote Before You Commit

A single-line per-part price hides the variables that actually drive cost. Opaque quotes can inflate true cost-per-part by 40–60% versus itemised quotes, because setup, tooling consumption, and yield assumptions stay bundled inside the headline figure. Without a breakdown, comparing two suppliers means comparing two different cost models pretending to be the same number.

1. Machine hour rate: Confirm the published rate and whether it already includes overhead or sits separate.
2. Setup fee: Check programming, fixturing, and first-article inspection as distinct line items.
3. Material cost with markup: Identify the raw stock price and the handling markup percentage.
4. Tooling consumption: Inserts, end mills, or build-plate wear should be quantified per part.
5. Secondary operations: Deburring, surface finishing, heat treatment, or assembly listed individually.
6. Scrap allowance: A documented yield assumption showing cost per good unit shipped.
7. Lead time: Quoted delivery date and any expedite premium tied to it.

Three patterns signal opaque pricing: a single-line per-part price with no component breakdown, no tooling amortisation schedule across the production run, and no documented scrap or yield assumption behind the per-unit figure. Any of the three is a reason to request itemisation before committing. MakerVerse functions as a practical audit tool here: one CAD upload returns itemised CNC, MJF, SLS, and injection moulding quotes side by side.

Choosing the Right Technology for Your Cost-Per-Part Target

A defensible technology choice follows five steps in sequence, not a gut feeling about which process “feels right” for the part on screen.

1. Define target volume: Lock the annual or project quantity before requesting any quote, since volume reshapes every other variable.
2. Assess geometry feasibility: Check which technologies can physically produce the part, ruling out undercuts, internal channels, or wall thicknesses that force expensive workarounds.
3. Set the lead-time constraint: Decide the latest acceptable delivery date, then eliminate processes that cannot meet it.
4. Request itemised quotes: Get breakdowns across every viable technology, not a single headline price.
5. Compare landed cost-per-part: Include freight, inspection, and rework allowances, not the line shown on the quote.

If the instant AI quote at MakerVerse exceeds the budget, a target-price request triggers a manual engineering review. Designers can validate the desired cost-per-part through tolerance relaxation, alternative materials, or hybrid manufacturing, for example AM cores finished by CNC, an approach documented to cut total cost by 28% in one medical-device case. For industrial buyers across DACH, Benelux, and the UK, supplier consolidation matters too: managing five vendors adds procurement overhead, vendor qualification, and invoice handling that rarely appear in per-part maths but quietly inflate the real number.