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© 2026 Silicon Analysts. All rights reserved.

All benchmarks derived from publicly available sources. For educational and estimation purposes only.

The views expressed on this site are my own and do not represent those of my employer. This is a personal research project for educational purposes. All data is sourced exclusively from public filings, press releases, and published industry reports. No proprietary or confidential information is used.

HomeToolsChip Cost Calculator
Updated Jun 2026Public sources only — no proprietary or insider dataImmutable record · public corrections →

Chip Cost Calculator (2026) — GDPW, Die Per Wafer, Net Die Yield & Wafer Cost Model

As of June 2026, calculate Gross Dies Per Wafer (GDPW) and net die yield for any chip design. Enter die dimensions and wafer size to see how many good dies per wafer, factoring in edge exclusion, flat/notch losses, and defect density. Supports TSMC N3, N5, N4, Samsung, Intel, and GlobalFoundries nodes from 180nm to 2nm. Includes wafer procurement cost ($3,000–$19,500 by node), scribe line loss, Poisson and Murphy yield models, advanced packaging costs (CoWoS, EMIB, SoIC), HBM memory pricing ($200–$500/stack), and margin analysis. Free alternative to paid die calculators — no subscription or signup required.

Chip Price Calculator

An interactive tool for estimating semiconductor costs.

Active Scenario:High-Performance GPU/AI

1. Select Chip Archetype

Choose a chip type to get started. Each preset loads realistic parameters for that category — you can customize everything afterward.

Or load a real chip:

2. Configure Parameters

$
Typical range: $16,000 – $21,300
See wafer price history →

Wafer Die Map Visualization

Gross Die Layout

Gross Die Per Wafer (GDPW): 65

Net Good Die (Yield Applied)

Net Die Per Wafer (NDPW): 36

Good Die
Bad Die
Exclusion Zone
Silicon Analysts Preview

Backend & Packaging Costs

Overrides benchmark if edited
Silicon Analysts | Executive Cost Brief - Page 1
2026-07-18
Scenario: High-Performance GPU/AI
Est. Price
$14,452
Gross Margin
72.0%
Yield
56.1%
Cost Breakdown
Wafer Cost (Good Die)
$552
3.7%
Packaging & Test
$615
4.1%
HBM Cost
$2,880
19.2%
Yield Loss
$517
3.5%
Fabless Margin
$10,405
69.5%
Sensitivity Matrix
DriverAssumptionEst. PriceImpact
Yield+5%$14,291-$161
Yield56.1%$14,452—
Yield-5%$14,645+$193
Strategic Advice
Estimates based on standard industry defect density models (Poisson). Yield impact assumes random defect distribution. Fabless margins modeled at 45-60% based on market tier.
Input Audit
Node
TSMC 5nm (N5/N4)
Wafer Price
$18,500
CSET / Morgan Stanley foundry tracker, 2024
Volume
5,000 wafers
Die Size
812 mm²
GDPW
65
NDPW
34
Defect Density (D0)
0.075
TechInsights yield teardown, 2023
Packaging Architecture
2.5D (CoWoS Interposer)
Epoch AI / SemiAnalysis CoWoS cost analysis, 2024-2025
Page 1 of 2
Detailed Cost Analysis - Page 2
2026-07-18
Detailed Cost Structure
Cost ComponentUnit Cost% of ASP
Silicon (Die)$5523.8%
Packaging & Test$6154.3%
Memory (HBM)$2,88019.9%
OpEx & Margin$10,40572.0%
Total ASP$14,452100.0%
Methodology & Sources
All benchmark values are derived from publicly available sources including analyst reports, company earnings calls, and industry publications. Yield calculations use standard Poisson defect models. Cost estimates assume standard manufacturing processes and do not account for NRE, tooling, or one-time engineering costs.
Glossary of Terms
GDPW
Gross Dies Per Wafer. Total theoretical chips that can fit on a single wafer.
Yield
Percentage of chips that pass manufacturing testing. Calculated using defect density models.
COGS
Cost of Goods Sold. Direct manufacturing cost including wafer, packaging, and test.
NRE
Non-Recurring Engineering. One-time R&D and tooling costs not included in unit pricing.
ASP
Average Selling Price. Final unit price including fabless margin and all cost components.
D0
Defect Density. Average number of defects per square centimeter, used in yield calculations.
Page 2 of 2 | Proprietary & Confidential

Scenarios

Save a configuration to compare later

Estimated Selling Price

$14,451.92

Manufacturing COGS: $4,046.54

vs. NVIDIA H100 SXM5 — sells for ~$28,000.00, ~88% gross margin

Largest Contributor

Fabless Margin Cost

Cost Stack

Margin: $10,405.38 (72.0%)
HBM: $2,880.00 (19.9%)
Pkg & Test: $615.00 (4.3%)
Wafer: $551.54 (3.8%)
Margin72%
HBM20%
Pkg & Test4%
Wafer4%

Frontend yield: 56.1% — typical for early-to-mid production

Detailed Cost Breakdown

ComponentCost Per Chip% of Total
Wafer Cost Per Good Die
$551.54
3.8%
Packaging And Test Cost
$615.00
4.3%
Hbm Cost
$2,880.00
19.9%
Manufacturing COGS (Subtotal)$4,046.5428.0%
Fabless Margin Cost
$10,405.38
72.0%
Total Selling Price (COGS + Margin)$14,451.92100%

Cost estimates based on Epoch AI, Raymond James, TrendForce, and SemiAnalysis data. Actual costs vary by volume, contract terms, and market conditions.

Try a What-If Scenario

Continue Exploring

→Cost Bridge Chart— Compare this chip against 12 other AI accelerators→Packaging Cost Model— Deep dive into CoWoS, EMIB, and SoIC economics→Price/Performance Frontier— See where your chip sits on the cost-efficiency curve
Export options:PDF ReportCSV SpreadsheetShare Link

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How Semiconductor Chip Costs Are Calculated

The manufacturing cost of a semiconductor chip is determined by a chain of interdependent variables: wafer price, die area, process yield, defect density, packaging type, and test costs. Understanding how each factor contributes to the final chip cost breakdown is essential for procurement teams, design engineers, and hardware investors evaluating silicon economics.

Wafer Cost and Process Node

Wafer pricing is the foundation of chip manufacturing cost. A 300mm wafer on TSMC's N3 process is estimated at $18,000–$20,000, while mature nodes like 28nm cost $3,000–$4,000. The cost scales with process complexity: extreme ultraviolet (EUV) lithography, additional metal layers, and tighter defect tolerances all drive up wafer cost at leading-edge nodes. Foundry pricing also varies by supplier—TSMC typically commands a premium over Samsung and Intel Foundry Services due to yield maturity and capacity allocation.

Die Yield and Defect Density

Yield modeling is critical because not every die on a wafer is functional. The die yield calculator in this tool uses industry-standard models (Poisson and Murphy) to estimate the percentage of good dies based on die area and defect density. Larger dies have exponentially lower yields—a 600mm² die at 5nm may yield only 40–50% good chips, meaning the effective cost per good die roughly doubles compared to the raw wafer cost divided by total dies.

Packaging and Test Costs

Advanced packaging has become a significant cost driver for AI accelerators. Technologies like TSMC's CoWoS (Chip-on-Wafer-on-Substrate) and Intel's EMIB add $500–$1,500+ per package depending on interposer size, HBM stack count, and substrate complexity. Test and assembly costs include wafer probe testing, final package test, and burn-in—typically adding $100–$500 per unit for complex AI chips.

Modeling It All Together

This semiconductor manufacturing cost calculator lets you model all these variables interactively. Adjust process node, die size, yield assumptions, packaging type, and volume to see how each factor affects the total cost per chip. Compare scenarios across TSMC, Samsung, Intel, GlobalFoundries, SMIC, and other foundries with real-world pricing benchmarks.

Related: Browse semiconductor analysis articles · Advanced Packaging Cost Model · Cost Bridge Chart

All benchmarks and data are derived from publicly available sources (earnings calls, press releases, analyst reports, regulatory filings). Figures are estimates for educational purposes only and should not be used as the sole basis for business or investment decisions. Wafer pricing and yield benchmarks are industry estimates subject to NDA-specific variations. Full Terms & Data Provenance

Gross Die Per Wafer (GDPW) & Die Yield Calculator

Calculate Gross Dies Per Wafer (GDPW) and net die yield for any chip design. Enter your die dimensions and wafer size to instantly see how many good dies you can expect per wafer, factoring in edge exclusion, flat/notch losses, and defect density.

How GDPW Is Calculated

Gross Dies Per Wafer estimates the maximum number of rectangular dies that fit on a circular wafer. The standard formula accounts for wafer diameter (typically 300mm), die area (X × Y mm), and edge exclusion zones. Our calculator extends this with Murphy’s yield model to give you net good dies — the number you can actually sell after accounting for defect density.

Free Alternative to Paid Die Calculators

Silicon Analysts’ chip cost calculator provides GDPW, net die yield, and full chip cost modeling — including wafer costs, advanced packaging (CoWoS, EMIB), and HBM memory pricing — completely free. No subscription required. Model costs from 28nm through 2nm with real-time parameter adjustments.

Looking for a comprehensive reference? Read our guide: How Many Chips Fit on a Wafer →

Semiconductor Chip Cost FAQ

Is there a free die per wafer (GDPW) calculator?
Yes — this is a free gross die per wafer (GDPW) and die-per-wafer calculator. Enter your die width and height plus the wafer diameter (200mm or 300mm) and it returns gross dies per wafer, net good dies after yield, and cost per die. It also models wafer cost, advanced packaging, and HBM, for any process node from 180nm to 2nm. No signup and no paywall.
How many chips fit on a 300mm wafer?
The number of chips per wafer depends on die size. A small IoT chip (5×5mm) yields ~2,800 gross dies per 300mm wafer. A smartphone SoC (10×12mm) yields ~580. A large GPU die like the NVIDIA H100 (26×31mm, 814mm²) yields ~80 gross dies. After accounting for edge losses and defect-driven yield, net good dies are typically 60–95% of gross, depending on process maturity.
What is GDPW in semiconductor manufacturing?
GDPW (Gross Dies Per Wafer) is the theoretical maximum number of rectangular dies that can be cut from a circular silicon wafer. It’s calculated based on wafer diameter, die dimensions, and edge exclusion zones. GDPW is the starting point for chip cost modeling — higher GDPW means lower cost per die. Our calculator computes GDPW automatically from your die dimensions.
How do you calculate die yield?
Die yield is calculated using defect density models (Murphy’s, Poisson, or negative binomial). The key inputs are defect density (defects/cm²) and die area. Larger dies have lower yield because they’re more likely to contain a defect. At 3nm, a typical 300mm² GPU die might achieve 60–75% yield, while a small 50mm² die could achieve 90%+.
How much does a silicon wafer cost?
Silicon wafer processing costs depend on process node: ~$3,000 for 28nm, ~$8,000 for 7nm, ~$16,000–18,000 for 5nm, ~$20,000–22,000 for 3nm, and ~$28,000–30,000 estimated for 2nm. These are wafer processing costs at TSMC, not blank wafer costs (blank 300mm wafers are ~$100–150 each).
How much does it cost to manufacture a semiconductor chip?
Chip manufacturing cost depends on process node, die size, wafer price, yield, and packaging. A small IoT chip on a mature 28nm node may cost $2–5, while an advanced AI accelerator on TSMC N3 can cost $2,000–10,000+ per die. Use our free calculator to model costs for any configuration.
What is the cost breakdown of an NVIDIA H100?
The estimated manufacturing cost of an NVIDIA H100 SXM5 GPU is approximately $3,320, broken down as: ~$300 for the logic die (814mm² on TSMC 4N), ~$1,350 for HBM3 memory (80GB total), ~$750 for CoWoS-S packaging, and ~$920 for test and assembly. NVIDIA sells the H100 at approximately $28,000, implying a gross margin of roughly 88%.
How much does a TSMC wafer cost in 2026?
TSMC wafer costs in 2026 range from approximately $3,000 for mature nodes (28nm) to $19,500 for 3nm (N3/N3E) processes. The 5nm (N5) node costs approximately $18,500 per wafer. These estimates include standard process fees but exclude mask costs, which can add $10–20M for advanced EUV nodes.
Why are chip costs increasing despite Moore's Law?
While transistor density continues to improve, the cost per transistor stopped decreasing at the 5nm node. Three factors drive this: (1) EUV lithography requires more expensive equipment and more patterning passes, (2) advanced packaging (CoWoS, HBM integration) adds significant cost layers that didn't exist at older nodes, and (3) wafer costs at sub-5nm have increased 30–50% per node transition due to process complexity.

Related Tools & Analysis

  • Wafer Pricing by Process Node — $3,000 at 28nm to $20,000+ at 3nm (2026 data)
  • How Many Chips Per Wafer? — GDPW formula and die yield guide
  • Cost Bridge Chart — Compare manufacturing costs across 13 AI accelerators
  • NVIDIA GPU Price Analysis — Manufacturing costs and supply chain economics
  • HBM Memory Shortage — How AI demand is choking consumer electronics
  • Foundry Engagement Guide — From MPW shuttle to production, step by step
  • Tapeout Decision Workspace — Guided 5-step tapeout evaluation with competitive benchmarking

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