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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: Implement Bluetooth 5.0, BLE functions with onboard antenna, also provide NFC connectivity
- Elaborate Power Design: Provide ultra-low power consumption as 5μA in deep sleep mode while supporting lithium battery charge management
- Thumb-Sized Design: 21 x 17.8mm, Seeed Studio XIAO series classic form-factor, suitable for wearable devices
Perfect for Production: Breadboard-friendly with Surface-Mounted SMD design, no components on the back

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
To better support IoT and TinyML AI projects, there is an advanced version “Seeed Studio XIAO nRF52840 Sense” that is equipped with a 6-axis IMU and a PDM Microphone onbaord.
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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
Attention:
All I/O pins operate at 3.3V. Please ensure not to input more than 3.3V to avoid damaging the CPU.

Application
- DIY mechanical keyboards thanks to its support of QMK and ZMK Firmware
- Wearable devices
- Wireless connect
- Embedded machine learning projects
- Perfect for mini Arduino projects
- Tiny Machine Learning application








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