9th May 2026, 02:24 AM
Hawkister MoYu MFJS Meilong 10X10 Cube Stickerless High Speed Cube (10X10X10 MoFang JiaoShi Cubing), 84mm Size
Price may vary by location, shipping cost, and availability.
Lowest in last 1 month
28% Off
₹5,799
₹7,999
Highest: ₹5,799
Average: ₹5,799
Lowest: ₹5,799
Price History Graph
Offer Price Prices
Lowest: -
Average: -
Highest: -
Price History Information
You can check the price history of Hawkister MoYu MFJS Meilong 10X10 Cube Stickerless High Speed Cube (10X10X10 MoFang JiaoShi Cubing), 84mm Size here. This product's current Price in India is ₹5,799. The average and highest prices are ₹5,799 and ₹5,799 respectively.
| Lowest Ever Price | ₹5,799 |
|---|---|
| 6th Apr 2026 | |
| Average Price | ₹5,799 |
| Based on 108 days price tracking | |
| Highest Price | ₹5,799 |
| 6th Apr 2026 | |
Current Price in India
| Price | ₹5,799 |
|---|---|
| MRP | ₹7,999 |
| Savings | ₹2,200 |
| Discount | 27.50% |
Product Information
Details
| Product Name | Hawkister MoYu MFJS Meilong 10X10 Cube Stickerless High Speed Cube (10X10X10 MoFang JiaoShi Cubing), 84mm Size |
|---|---|
| Store Product Code | B0G3SVX47N |
| Store Name | amazon.in |
| Brand | HAWKISTER |
| Rating | 10 / 10 |
| Category | 3-D Puzzles |
| Product Manufacturer | HAWKISTER |
| Size | 8.4 cm |
| Dimensions | 8.4L x 8.4W Centimeters |
| Country of Origin | China |
Features
- It has Amazing Corner Cutting and Smooth Turning, Difficult to Pop.
- MoYu MF8865 10X10 Feels Light and Airy, With Smooth, Quick Turning.
- Smooth Turning and Excellent Rotation Great Tension Adjustable.
- This Classic Puzzle Game Will Never Go Out Of Style. More Stability.
- Train Your Brain and Improve Your Memory Activate Kids Imagination.
Images
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Rating and Reviews
10 Based on 18 reviews
Hawkister MoYu MFJS Meilong 10X10 Cube Stickerless has 10 rating out of 10. This average rating is consist of 18 individual ratings. You can rate this product at product review page.
* Predictions is created on based of past prices and trends, it does not guarantee that it will happen. These are just prediction for theoretical information only.