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Avalanche Price

AVAX
₺413.10$8.25
$8.25₺413.10 +0.38% 24h
24h
+0.38%
1d
-1.35%
7d
-3.22%
30d
-17.03%
24h Volume
₺418.63M$8.36M
Market Cap
$3.66B
From all-time high
-94.39% ATH $147.04
Circulating Supply
443,815,127 AVAX

What is Avalanche (AVAX)?

Avalanche (AVAX) is a Layer-1 blockchain that splits network activity across three separate chains. Launched by Ava Labs in 2020, the platform is built to prevent smart contract traffic from congesting a single line and to give different applications their own execution space. It also allows developers to create their own subnets, which function as independent chains with custom rules.

What is AVAX used for?

AVAX is the network’s native asset. Every transaction on Avalanche requires a fee paid in AVAX. Validators lock up AVAX to help secure the network, and token holders can vote on network parameters through governance proposals. This gives AVAX a dual role as both a settlement unit and a governance tool.

Staked AVAX can be slashed if a validator breaks the rules, which encourages participants to keep the network honest.

How does Avalanche’s three-chain design work?

The main network is divided into three specialized chains:

  • C-Chain: Runs smart contracts and is compatible with the Ethereum Virtual Machine.
  • P-Chain: Coordinates validators and supports the creation of custom subnets.
  • X-Chain: Handles the creation and transfer of digital assets.

Because these tasks are separated, asset transfers and smart contract calls do not compete for the same processing capacity. Thanks to C-Chain, a smart contract written for Ethereum can run on Avalanche with minimal changes. Subnets can have their own validators and virtual machines, so chains tailored for gaming or enterprise compliance can coexist without slowing down the rest of the network.

What consensus approach does Avalanche use?

Avalanche uses a Proof of Stake-based method. Instead of checking with the entire network, a node asks a small random group of validators whether a transaction is valid. This sampling repeats across the network until a decision solidifies. A validator does not need to reach global agreement all at once; instead, confidence builds through repeated subsampling. The design keeps confirmation times short even as the number of validators grows, while maintaining high fault tolerance.

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