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Features
- Versatile Microcontroller: Incorporate the Nordic nRF52840 chip with FPU, operating up to 64 MHz, mounted multiple development ports
- Embracing Open Source: As an open source hardware, it also supports popular projects of Arduino / CircuitPython / Micropython / tinyGo / Zephyr / Meshtastic / Amazon Sidewalk / QMK / ZMK / ThingSpeak
- Wireless Capabilities: Supports Bluetooth Low Energy 5.4, BLE with onboard antenna, also provides NFC connectivity
- Elaborate Power Design: Provide ultra-low power consumption as 5μA in deep sleep mode while supporting lithium battery charge management
- Advanced onboard Functionality: Assemble additional digital microphone and 6-axis IMU in the tiny board for embedded Machine Learning applications
- Thumb-sized Design: 21 x 17.8mm, Seeed Studio XIAO series classic form-factor, suitable for wearable devices
Note
We already have 8 XIAO MCUs based on popular chipsets of SAMD21, nRF52840, ESP32-C3, ESP32-S3, and ESP32-C6. To help you better understand the differences and choose the most suitable one for your projects, pleasev visit the Seeed Studio XIAO Series Page.
Specification
If you’d prefer a more cost-effective MCU with BLE and NFC connectivity, you can refer to the Seeed Studio XIAO nRF52840.
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Item |
Seeed Studio XIAO nRF52840 |
Seeed Studio XIAO nRF52840 Sense |
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Processor |
Nordic nRF52840 |
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ARM® Cortex®-M4 with FPU runs up to 64 MHz |
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Wireless |
Bluetooth 5.0/NFC |
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On-chip Memory |
1 MB flash and 256 kB RAM |
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Onboard Memory |
2 MB QSPI flash |
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Interface |
1xUART, 1xIIC, 1xSPI, 1xNFC, 1xSWD, |
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11xGPIO(PWM), 6xADC |
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Onboard Sensors |
/ |
PDM digital microphone |
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6-axis IMU |
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Dimensions |
21 x 17.5mm |
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Power |
Circuit operating voltage: 3.3V@200mA |
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Charging current: 50mA/100mA |
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Input voltage (VIN): 5V |
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Standby power consumption: <5μA |
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Hardware overview

Application
- DIY mechanical keyboards thanks to its support of QMK and ZMK Firmware
- Small and flexible wearable device
- Wifi/Bluetooth controlled wireless connection project
- Embedded Machine Learning Project
- IoT and TinyML AI applications
- Mini Arduino projects








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