Ultra-Low Gas Fees

TOS Network delivers $0.001 per transfer - making it 100x cheaper than TRON and BSC, while matching Solana’s low costs with additional native features.

Why Low Gas Matters

Consider a referral distribution scenario:


User invests $100
→ Distribute rewards to 10 uplines ($1-10 each)

On TRON:
- 10 transfers × $0.10 = $1.00 gas cost (1% of investment)
- Significant profit erosion for projects

On TOS:
- 1 batch transfer = $0.025 gas cost (0.025%)
- 40x savings with native batch transfer

Gas Fee Comparison

Basic Operations

Operation	Ethereum	TRON	BSC	Solana	TOS
Simple Transfer	$2.00	$0.10	$0.10	$0.001	$0.001
Token Transfer	$5.00	$0.10	$0.10	$0.002	$0.001
100-recipient Distribution	$200+	$10	$10	$0.10	$0.05

Smart Contract Operations

Operation	Ethereum	TRON	BSC	Solana	TOS
Simple Contract Call	$5	$0.50	$0.30	$0.01	$0.01
Complex Contract	$50	$2.00	$1.00	$0.05	$0.05
DEX Swap	$30	$1.00	$0.50	$0.02	$0.02

Batch Operations (TOS Native)

Recipients	Individual Transfers	TOS Batch Transfer	Savings
10	$0.01	$0.005	50%
100	$0.10	$0.05	50%
500	$0.50	$0.25	50%

How TOS Achieves Low Gas

1. Efficient Consensus


TOS BlockDAG:
├── 1-second block time
├── 10,000+ TPS capacity
├── Fixed validator set (no election overhead)
└── Parallel transaction processing

2. Optimized Storage

State compression for smaller footprint
Hot/cold data separation
Efficient indexing structures

3. High-Performance VM

TAKO runtime (eBPF-based)
Precompiled contracts for common operations
Native syscalls bypass contract overhead

4. Economic Model

Inflation-subsidized gas
No MEV extraction
Energy model for gas-free option

Gas Pricing Structure


// Base operations
pub const TRANSFER: u64 = 1_000;           // ~$0.001
pub const CONTRACT_CALL_BASE: u64 = 5_000; // ~$0.005
pub const STORAGE_PER_BYTE: u64 = 100;     // ~$0.0001
 
// Native feature operations
pub const BATCH_TRANSFER_PER_TARGET: u64 = 500;  // ~$0.0005/recipient
pub const VRF_REQUEST: u64 = 10_000;             // ~$0.01
pub const BIND_REFERRER: u64 = 10_000;           // ~$0.01
pub const PRIVATE_TRANSFER: u64 = 50_000;        // ~$0.05

Batch Transfer Discount

TOS provides a 50% gas discount for batch operations:

Operation Type	Single Gas	Batch Gas (per item)	Discount
Transfer	1,000	500	50%
Reward Distribution	1,000	500	50%
Airdrop	1,000	300	70%

High-Frequency User Rewards

Active users receive automatic gas discounts:

Daily Transactions	Discount
0-10	0%
11-50	5%
51-100	10%
101-500	15%
500+	20% (max)

Payment Options

1. Pay with TOS


// Default: pay gas in TOS
let tx = Transaction {
    gas_price: 1,      // 1 unit = ~$0.001
    gas_limit: 10_000,
    ..
};

2. Pay with Energy (Gas-Free)


// Use staked TOS energy for gas-free transactions
let tx = Transaction {
    fee_type: FeeType::Energy,
    ..
};

3. Project-Sponsored


// Project pays gas on behalf of users
let tx = Transaction {
    gas_sponsor: project_address,
    ..
};

Anti-Spam Protection

TOS maintains low costs while preventing abuse:


// Minimum gas price (prevents spam)
pub const MIN_GAS_PRICE: u64 = 1;
 
// Dynamic pricing during congestion
fn dynamic_gas_price() -> u64 {
    let pending = get_mempool_size();
    let capacity = TARGET_TPS * BLOCK_TIME;
 
    if pending > capacity * 5 {
        MIN_GAS_PRICE * 5  // 5x during severe congestion
    } else if pending > capacity * 2 {
        MIN_GAS_PRICE * 2  // 2x during moderate congestion
    } else {
        MIN_GAS_PRICE      // Normal pricing
    }
}
 
// Per-account rate limiting
pub const MAX_GAS_PER_ACCOUNT_PER_SECOND: u64 = 1_000_000;

Real-World Cost Examples

Referral Distribution


Scenario: Distribute rewards to 10-level upline

TOS (batch):    1 tx × $0.025 = $0.025
TRON (single):  10 tx × $0.10 = $1.00
Savings: 97.5%

Token Airdrop


Scenario: Airdrop to 1,000 addresses

TOS (batch):    2 tx × $0.15 = $0.30
TRON (single):  1,000 tx × $0.10 = $100
Savings: 99.7%

DEX Trading


Scenario: 100 trades per day

TOS:    100 × $0.02 = $2.00/day
TRON:   100 × $1.00 = $100/day
Savings: 98%

Summary

TOS Network’s ultra-low gas fees enable:

Micro-transactions that were previously uneconomical
High-frequency applications like gaming and trading
Batch operations for efficient distributions
Predictable costs for business planning

Combined with the Energy Model, users can achieve truly gas-free transactions through staking.