ℹ️ Introduction To Avalanche Testnets

The Fuji Testnet stands as the official testing ground within the Avalanche ecosystem. Designed to closely mirror the Avalanche Mainnet infrastructure, Fuji encompasses a Primary Network comprised of instances from X, P, and C-Chain, along with several test Subnets.

Fuji plays a pivotal role by providing a platform for users to replicate the conditions experienced on the Mainnet. This invaluable resource empowers developers to deploy demo Smart Contracts, offering a safe environment for testing and fine-tuning their applications before transitioning them to the Primary Network.

For those keen on exploring Avalanche without financial risk, Fuji offers the opportunity to obtain free testnet AVAX. These test tokens, while invaluable for experimentation within the Fuji test network, hold no real-world monetary value.

While the Fuji Network serves as a valuable resource for testing within the Avalanche ecosystem, developers also have the option to consider Avalanche Network Runner as an alternative approach to locally test their projects. This allows for thorough evaluation and refinement of their applications before engaging with the broader network, providing an additional layer of control and precision in the development process.


🏗️ Available Avalanche Testnets

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width="40px" /> Fuji Testnet

</aside>

<aside> <img src="data:image/png;base64,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" alt="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAOEAAADhCAMAAAAJbSJIAAAAhFBMVEUAAAD////b29vq6uphYWHt7e319fXV1dWHh4ePj4/l5eW/v7+SkpJkZGSZmZmVlZWAgIBtbW13d3elpaVYWFjLy8uysrL4+PjExMTPz89ycnKrq6u6urpKSkocHBxRUVENDQ1FRUUlJSWgoKA9PT0XFxcxMTFGRkY2NjYTExMqKioiIiJ72QomAAAKSUlEQVR4nO2da3vaOBCFTUi4FgLkTkjiJG02bf///1sgSyvZGmmOdGSbfTjfdp/G0ovt0WguctH7v6toewLZdSI8fp0Ij18nwuPXifD4dSKkaNAfTm+vRqv1cjY7P5/NlqvR/HEz7A+aGDwz4cXNfPH0XEh6fhldPVzknUI+wv50fC2i2XoaT/Nh5iG8uF2XSro/t3MxzfPQZiA8m38H6Q56nZ/xp8MmPBujN6+i0ZA8Iyrh5PJXGt5ev8cT5qSIhJtXAt6XXu5502IRDsY0vL2e53ekmXEI+wsu314LzsPKIJwsM/DttGQwphP2c/HtGfutE16sMvLttEr1AxIJLzPz7TRukXDaAN9O05YI+08NARbFdYJjHk/43hjfTvPGCSex3nWsvsda1UjCq4b5dnpskHCg3dpydR3lyMUQ3rTCt1PMziqCsIk1UNJ7E4TnLQIWxXl2wv5bq4BF8YYujSDhWct8O4GxHIxw0zbdXpt8hM26MbKuchGSAxUJ+paHMEekIlajHITrtqksLfiEOWMVMVLfRS1h7mAFLi2ikrBL7+BBSnOjI2zTFZWlWzRUhI9tswhSxW80hMO2SURpHDgF4aRtDo8UbriC8EfbGB79YhBSIxajs0H/lnnB8H4xSPiNOZ8v0zCQizNwBcOMIUJqTOYQn6fuMkOxmwDhgDmXvy8N9cEIROAChC/MqTz8vW5JvGzgVfQTzokTKWbGhak5HX+o2EvIjcpYa9c/zCt7A/5ewg/mNOw0IPXHe40lpD6jVYNA3Y75fHAPYZ85h+K2cnWqlS48qXAPITUB+lG7PDVw57GnMiE3NvpQH4Dp2RQ3EYTM8YtrxwD3zAGecUJucNRZ+kN1J8SslETINTPuqBF34yk5bxIhN3gojE5dMaTYm0DI/Xklt4q7Ygj7fYGQmgaVN+LUgocVQsh1SGVLzo2QuG+im5B6C19kQO4G230TnYTct9BbJEpdMZw30UlItXH+LBH1x3SaUxch18QFggzUjIjLAXcRUqMooeTCHXOwSyVhSRzzdwCQmxQpdYTUGIqicYLRhXKQI1fjIGTuC30rxUHMFcMxXp2Q6nOrqnuYK0Z9wagTMu2M4EhVxPSg6ramTsjceis7CYjJn7plqxEy06Ha4mzmm1hLY9QIR7zBXLbbLd6Ydb+mRkgcTN8mwdxvhwiJb/2rGpAae66a7yoh0ZICdaDMyGX15a8S8toolnpAqhv16ie84I2EVCtTo8+VJapCyKsicLn5oqjxmkoJcYWQt/dFALNuuSsz+ckaBqvF/s0adqeKW2MT0rzu7xAguerKtgA2Ie2Nx9p3yLWd9p7UJmS5bLMeIm5cqFp4ahOyNr9YXwu7PNdO5dmEpCGw3mR+7aNMyBoL6xPkNzNaj5BFSMrKVosS/HrgDGrKSpRYhJxybkXNp6lPyqCWrHywRchpGnEUJXhErTb9T5ZXYxFSfk5XUYJHjCGrehIJS8blsa7yLN1iVmGGSUhZefUNSTsRd2umTGNuElIWC2ylmDGGrMt8jkxCRlAPan7M1nRrBlBMQoLfHU41WeKdnWXL9L1NQkKeCzujK1tbselzmITpC74m1WSoTB5QkFnAYxKm+/jYyVXcCl1T5v7JJEyOPOtSTQext4WGzCXLJEw23dhKkbGx2PypTcLUOiHsWI6cxzOY0WgioVzE6pQUT/i5eF+VaTOxoihEQuxELmkv+vUKJT7BeQhfsVsonJFyeL7SNv5mYTuPEDtyRIjj/0mqphlaiTDJlq4hQKkS6m/8IWlnLD2lSYTY8YaCc2H+9ik+q0SYsuIjp43I+7S+4t9oJK0WCRkgfVHCXoIdsasMEpxIyadJiChgqSYpgGj/q4SqRTMkbV41vhMJSzVJXX/VOGu8sTH34QXliliqSRin/jNFx/6k/WF0vQCWapICiPUFNbo+y3SvCsYFsVST8Lq7FtRY6y7FaWIzwFiqSQoguhbU2GCjFGuL9ZQgQMmvcG+9IsMA5q9lTS+ugwVLNQmvghSki5qSGPOOc5Q+IUCp6ErqHIpK+Ml5iyinBks1CQFEOUgXUyIt555innrwuM3SfRU5SBfjnsr5w5hHAks1Cb+h72SyiPoQOQccsVwAx/v1ZGvt/SN8UnIeP+JiEKAUfvFbY9yZtJms/4Jfa+wEaiGAGPLb0ZpXXz0Nun+qn5TglXCgSSjCg0ZW7cJPmxD1vT39rw4JhixcTAy6p766NtDUgEUJQo1lOMIDupO+2kSwvhRLNQkBRE3bCbQ399aXYl4NVpQgBCV0WWOkxNZfIwxlZbFUkxBY0mWNEV+kkl1IqNXHihIE70ubNQai/P5afSA0AhYlCFPUvsp6G/ha+cv4nhmsKEGoZNE7fWr3NNQzo15dOSsFcAXtxEJ9T+oLYSuFUMiCOH1a97QGVP0fSseNUpSAVaLqTEQtLBbbQ4rdQmFPgeUCdC5luIdUSs7awt5CqWAOuojuBXqr/1Xt/6isKVR2IS2yYKhc5YBrerlVKw/ygak76akAzbEqg1sPqkSeqfBU/zNJk1K8CkgYNy/HKCrfVB1D9G0LsBIjTSRQdy6GbklUGdO7x9J7EcSYatZD5dkmyiVxsRme+fSwuQqbhtmt/yJfGg6nV6oQkss85D9jqElpzxjq2OdI9HI6Wk7CLnzVKUZO2+C22O18Gy9V7hRKE2fuNSV33FVYdY/xJgpOoEB4jDdRWKElzylTu05GScWRzZxB24SkkhfR+yWeNdSIxOJIkZB62l8Dkjg8p13naF/NJ7mM3rNHy9VYlkOezbSHsMtfQarKU1nn22d381tkLvmCKt5IAvX7FhnlLcvyEh6LZ+ONN/ijQcfxnPoDf4F4V9PfiI9RIAUZIMzUL09VoNIhFLOkfoQii0IVL8GobHc+AuxWsFknHHemnppOVzgzECa8o53hlkH1VFMEYae9N0V1qyY70l1ro+nVUeV/uvotWVWXgC7Dle/0gxTpUlfKHF73PlqtbtXRZim7F3sjf5eb/GEWgtSFkfpMc7cQ9ZWfQC69Sw8q0ASBVAt0x9wg/YBQPURXFg2oshWr+OjG0o8Vi4E1LV1w4LADOFDC3lnZMt8vrOkYJ+zdUT9PCguthYsg5B/7iwirooolzHeQXFDYyQbxhL1+hnNjFTrHGjxSCNuJT2GdgKmEvaGqlJioJ9SGphI2fRuxBh0OYW9C/QK8Vy+xNzCNsLFEeImdBMck7N01sTZGrIE8wu3Cwf00cl0L7BAxPuH2dcy5+V9iBxrkIdx647nq/GZYZ45bDMItY46q4jWDj0XY6w3GJRXv5zz1/TuIRbjVhldidI21b3pFJNwanTEjE/f5zrp9e1EJt3pIXCHLb2CQIig24VbDUWyl0cc4ZgMYUAbCrfq36xKk+7HapK99LuUh3Kk/HWtDOk/jaYJrHVA+wr0m9/P1h3w7y8/15T1n2ROVmfBLg/7D5nE+Wi3Pd5rNlqvR/HFzM8l34ww1QtiqToTHrxPh8etEePw6ER6/ToTHr38BGXyWciBqQM4AAAAASUVORK5CYII=" width="40px" /> Avalanche Network Runner

</aside>