Understanding Gas Fees and How Tetreum Minimizes Them
TechnicalApr 1, 20267 min readTetreum Protocol Team

Understanding Gas Fees and How Tetreum Minimizes Them

Gas fees are the invisible tax that determines whether a blockchain is practically usable. On Ethereum, a simple token transfer can cost $5-50 during peak times. On Tetreum, the same transaction costs less than $0.001. Here's why that difference matters — and how Tetreum achieves it.

What Is Gas?

Gas is a unit of computational work. Every EVM operation — reading storage, writing to state, performing arithmetic, calling another contract — costs a fixed amount of gas. Total transaction fee = Gas Used × Gas Price. The gas used is fixed per operation; the gas price is what varies.

Why Ethereum Gas Fees Get So High

Ethereum has a fixed block gas limit. During high demand, there are more transactions wanting to fit into blocks than can fit. This creates an auction: users bid up gas prices to get their transaction included first. During NFT mints or DeFi events, gas prices can spike 100x above normal.

Energy efficiency and gas optimization
Energy efficiency and gas optimization

How Tetreum Achieves Sub-Cent Fees

  • Parallel transaction processing means 100x more throughput per block
  • Higher throughput means block space is abundant, not scarce
  • Abundant block space means no gas price auctions
  • POA consensus eliminates miner MEV extraction
  • Fixed, predictable gas prices rather than volatile market auctions
Typical Tetreum transaction cost:
- Simple TET transfer:    ~0.00001 TET ($0.000034)
- ERC-20 token transfer:  ~0.00003 TET ($0.0001)
- Complex DeFi operation: ~0.0001  TET ($0.00034)
- Contract deployment:    ~0.001   TET ($0.0034)
"When a transaction costs $0.0001, entirely new categories of applications become possible. Micropayments, in-game economies, IoT data feeds — none of these work at $5 per transaction." — Protocol Team
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Use TetScan's transaction detail view to see exactly how much gas your contract operations consume. This helps you benchmark and optimize before mainnet deployment.

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