Big Number Calculator — Arbitrary-Precision Integer Arithmetic
Perform addition, subtraction, multiplication, division, modulo, and exponentiation on numbers with hundreds or thousands of digits. Powered by JavaScript's native BigInt for exact results without rounding errors.
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BigInt provides exact integer arithmetic — no rounding, no overflow RSA encryption relies on the difficulty of factoring 600+ digit numbers 100! (100 factorial) has 158 digits — far beyond normal calculator range 2^100 equals 1,267,650,600,228,229,401,496,703,205,376 — BigInt handles it exactly
Ready to run the numbers?
Why: Standard calculators and floating-point numbers lose precision beyond ~15 digits. Cryptography (RSA uses 2048-bit keys = ~617 digits), combinatorics (100! has 158 digits), and number theory all require exact arithmetic with very large integers. BigInt makes this possible directly in the browser.
How: Enter two integers of any size (no decimals). Choose an operation — add, subtract, multiply, divide (integer division), modulo, or power. The calculator uses JavaScript's native BigInt type for exact results. Try the preset examples to see factorial results, powers of 2, and more.
Run the calculator when you are ready.
Big Number Calculator
Arbitrary-precision integer arithmetic. No overflow—handle numbers of any size.
🎯 Quick Examples — Click to Load
For educational and informational purposes only. Verify with a qualified professional.
🧮 Fascinating Math Facts
RSA-2048 encryption uses numbers with 617 decimal digits. Breaking it would require factoring such a number — believed infeasible with current technology.
— NIST
Googol (10^100) has 101 digits. A googolplex (10^googol) has so many digits that writing them all would require more space than the observable universe.
— Wolfram MathWorld
The largest known prime number (as of March 2026) is still 2^136,279,841 − 1, which has 41,024,320 digits (GIMPS, verified Oct 2024).
— GIMPS Project
The number of possible chess games (Shannon number) is estimated at 10^120 — far beyond standard floating-point range.
— Shannon, 1950
📋 Key Takeaways
- • JavaScript BigInt can handle arbitrarily large integers (no overflow)
- • Regular numbers (Number) are limited to about 2^53 − 1 (9 quadrillion)
- • BigInt supports +, −, ×, ÷, mod, and ^ (power)
- • Division with BigInt truncates to integer (floor division)
📖 What Is BigInt?
BigInt is a JavaScript primitive for arbitrary-precision integers. It can represent numbers larger than Number.MAX_SAFE_INTEGER (2^53 − 1 ≈ 9 quadrillion). Unlike regular numbers, BigInt has no fixed maximum—it grows with available memory.
📝 How to Use
- Enter two integers in the input fields (no decimals or scientific notation)
- Select the operation: Add, Subtract, Multiply, Divide, Modulo, or Power
- Results update automatically
- Click a quick example to load sample inputs
📐 Supported Operations
| Operation | Symbol | Notes |
|---|---|---|
| Addition | + | a + b |
| Subtraction | − | a − b |
| Multiplication | × | a × b |
| Division | ÷ | Integer (floor) division |
| Modulo | mod | Remainder of a ÷ b |
| Power | ^ | a^b (exponent max 10000) |
⚠️ Limitations
- • Integers only: No decimals or fractions
- • Power exponent: Limited to 10000 for safety
- • Negative exponent: Not supported for power
- • Division by zero: Returns an error
❓ Frequently Asked Questions
What is BigInt?
BigInt is a JavaScript primitive for arbitrary-precision integers. It can represent numbers larger than Number.MAX_SAFE_INTEGER (2^53 − 1).
What is the maximum number?
BigInt has no fixed maximum in theory—it grows with available memory. For this calculator we limit exponent to 10000 for safety.
Does it support decimals?
No. This calculator only supports integers. BigInt does not support fractional parts.
Why use BigInt?
Cryptography, factorial calculations, combinatorics, and large financial calculations often need precision beyond standard numbers.
🔗 Related Calculators
For modulo arithmetic and Roman numerals, see our Modulo Calculator and Roman Numeral Calculator.
⚠️ Note: Very large results may take a moment to compute. Power operations with large exponents are especially intensive.
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