As Microsoft refreshes its Surface Laptop lineup with new processors and premium models, the 2024 versions remain strong contenders for most users due to better pricing and balanced performance.
- 2024 Surface Laptop remains the best value at under $1,000
- 2026 models offer improved speed but come at a steep premium
- Surface Laptop Ultra targets creators with high-end GPU and RAM
What happened
Microsoft launched new iterations of its Surface Laptop in 2026 featuring advanced Snapdragon X2 processors and introduced the high-performance Surface Laptop Ultra. These updates aim to improve speed and graphic capabilities, targeting both general users and content creators alike.
Despite these upgrades, pricing for the 2026 models has surged significantly, sometimes exceeding $1,600 for configurations similar to the well-regarded 2024 versions which can still be found for around $999. The 2026 models also have limited reviewer access, preventing independent testing and slowing broader adoption insights.
Why it matters
The 3:2 aspect ratio screen of the Surface Laptop, favored for productivity tasks like document editing and browsing, remains largely unchanged, which continues to make the 2024 models attractive for everyday users. Battery life and performance outside of gaming also hold up well despite not sporting the newest silicon.
Meanwhile, the Surface Laptop Ultra introduces Nvidia RTX Spark N1X discrete-class graphics and up to 128 GB of RAM, catering to power users and those deploying larger AI models locally. This positions Microsoft as a serious competitor against premium laptops like the MacBook Pro in creative and AI niches.
What to watch next
Monitor pricing shifts for the 2026 Surface models as supply chain factors, such as the current memory shortage, influence costs. Reduced prices could enhance the appeal of the new Snapdragon X2-powered laptops if performance gains justify the premium.
Watch for expanded reviews and performance benchmarks of the 2026 Surface Laptop line once units become widely available to critics. Insights especially on the Ultra model's ability to handle demanding AI workloads may dictate its success in a competitive market segment.