Package Cost Console
Packaging is no longer an afterthought — for advanced chips it can rival the silicon. Estimate package cost across the five major technologies, broken into substrate, interconnect, assembly and test, divided by assembly yield, with every type compared side by side for your die count, I/O and area.
Package type, I/O & area → cost per good package.
Area-array bumps: more I/O, better electrical, pricier substrate.
Flip-chip BGA cost console
Assembly yield 98% — subtotal $7.96 ÷ yield = $8.12 per good package.
A Flip-chip BGA for this part costs $8.12 each. Substrate dominates at $5.76 (72% of BOM).
Fan-out WLP (FOWLP) is cheapest at $3.02 for these inputs — but verify it supports your I/O and bandwidth before switching. Choose the cheapest type that meets your electrical needs, not cost alone.
Add this packaging cost to per-die cost in the Wafer Cost console.
Why packaging cost matters now
For AI accelerators, advanced packaging (2.5D/CoWoS with HBM) can rival or exceed the silicon cost itself. The days of treating the package as a cheap afterthought ended when bandwidth, not transistors, became the bottleneck.
Wire-bond is cheap but pin-limited; flip-chip adds bumps and a real substrate; fan-out drops the substrate entirely; 2.5D adds an expensive interposer. The right choice depends on I/O count, bandwidth and budget — not fashion.
High-layer-count flip-chip and 2.5D substrates are sophisticated PCBs in their own right; layer count and area multiply quickly, and substrate shortages have throttled the whole industry during AI demand spikes.
Every die placed and every interconnect formed is a chance to fail. System-in-package and 2.5D assemblies with many dies carry real yield loss, which is why known-good-die testing and the assembly yield term matter as much as the bill of materials.
When the package became as important as the chip
For most of semiconductor history, packaging was the cheap, unglamorous last step — a plastic shell and some wires to connect a die to a board, a small fraction of total cost that nobody modeled carefully. That era is over. As performance became limited by how fast data moves between chips rather than how many transistors fit on one, the package turned into a first-class engineering and cost problem, and for the most advanced AI parts it can cost as much as the silicon it houses.
The cost structure is the same across technologies even as the magnitude varies: a substrate that fans the die's fine connections out to the board, the interconnect that joins die to substrate, the assembly labor to place and attach everything, and test to catch failures — all divided by assembly yield. What changes between package types is the weight of each term. Wire-bond keeps every term cheap but limits you to perimeter pins; flip-chip adds a bumping process and a dense substrate; fan-out throws away the substrate entirely; and 2.5D adds an expensive silicon interposer to deliver the bandwidth HBM demands.
Choosing among them is an electrical decision with a cost consequence, not the other way around. A high-pin-count, high-bandwidth processor simply cannot use wire-bond, no matter how cheap it is. The discipline is to pick the least expensive technology that actually meets the I/O, bandwidth and thermal requirements — exactly what the side-by-side comparison in this console supports.
This is the entry point to the Packaging & Assembly suite. For the expensive case of HBM-class 2.5D, the CoWoS Cost console models the interposer and memory stacks in detail; and the packaging cost you estimate here feeds into per-chip cost via the Wafer Cost console.
Trusted by Packaging, Cost & Procurement Teams
“The side-by-side cost structure across package types is exactly the conversation I have with customers weekly. Showing why their high-I/O part can't stay wire-bond, with the substrate cost broken out, lands instantly. The yield term is a nice honesty touch.”
“Finally a packaging estimator that treats substrate, interconnect, assembly and test separately. The fan-out vs flip-chip comparison helped us pick the right path for a mobile SoC. Pairs well with the CoWoS tool for our HBM parts.”
“Good first-order BOM input for negotiations. The package-type comparison makes the cost drivers obvious. Would love OSAT-specific presets, but the structure and relative ranking match our quotes well.”
“The assembly-yield-with-die-count modeling is the part most tools miss. For our multi-die SiP it's the dominant cost factor, and seeing it quantified changed how we partition. Clean and fast.”
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cost = (substrate + interconnect + assembly + test) ÷ assembly yield · representative parameters by type · Last reviewed: 2026-06