Thunderobot goes crazy with MIX G2 pricing
Thunderobot has launched its MIX G2 gaming mini PC with dedicated graphics, pairing Intel Core Ultra HX chips with NVIDIA RTX 50 laptop GPUs in a compact 3.2-liter chassis. The top configuration combines a Core Ultra 9 275HX and a GeForce RTX 5090 Laptop GPU , with a total system power budget of 230W. Thunderobot rates the CPU at up to 120 W and the GPU at up to 175 W in single-load stress tests.
The MIX G2 measures 332 × 212 × 45 mm and uses a custom “Night Owl” cooling design. The internal layout integrates an all-in-one heatsink, fin stack and dual fans that cover both CPU and GPU. The case adds a Penrose-triangle style power button, a blue light strip on the side, and a backlit logo on the front panel.
Source: Thunderobot
Inside, the system offers two DDR5 SO-DIMM slots, one PCIe 5.0 M.2 slot and one PCIe 4.0 M.2 slot. Wireless connectivity comes from a Wi-Fi 6E and Bluetooth 5.3 module. Front I/O includes two 5 Gbps USB ports (one Type A, one Type C) and a 3.5 mm audio jack. On the back, users get one RJ45 Ethernet port, one 10 Gbps USB-A port, HDMI 2.1, and a Thunderbolt 5 port for external displays and docks.
Source: Thunderobot
Thunderobot will start MIX G2 sales in China on November 20 at 10:00. Three configurations are planned:
- Core Ultra 9 275HX, RTX 5090 , 64GB RAM, 1TB SSD: 26,999 RMB (about 3,790 USD)
- Core Ultra 9 275HX, RTX 5080, 32GB RAM, 1TB SSD for 18,999 RMB (about 2,670 USD)
- Core Ultra 7 255HX, RTX 5070 T i, 32GB RAM, 1TB SSD for 14,999 RMB (about 2,110 USD)
Please note that Chinese media reports lower prices due to so-called government subsidies for digital home appliances. Regardless, I think even with subsidies, this product is too overpriced for what it offers. Compared to gaming laptops with nearly identical specs, this is at least $790 more expensive, and we are not even accounting for shipping and important taxes. At least compared to ASUS ROG NUC 2025, price looks normal, the RTX 5080 version costs $3199 right now:
Source: Thunderobot (JD) via Ruby_Rapids
