RTX Spark Price Comparison (2026): Every Laptop & Desktop, and What You Actually Get

Confirmed launch prices (October 2026)

Pre-orders opened on October 7, 2026 at Microsoft's Surface event, with six brands announcing pricing on day one. Most laptops ship October 16; HP's two models follow on November 4. Compact desktops are expected in November with pricing still to be confirmed. All figures below are US MSRP before tax.

How RTX Spark pricing works

NVIDIA sells the N1X silicon to PC makers, and each OEM sets its own price based on memory, storage, screen, chassis and warranty. That means two laptops with the identical RTX Spark chip can differ by over a thousand dollars. The launch range — $2,599.99 to $6,999.99 — sits firmly in the premium band, positioned against high-end MacBook Pros and workstation laptops rather than mainstream Windows machines. As production ramps and the 18-core, 24–32 GB configuration appears in more designs, expect cheaper entry points in 2027.

• Chip config: 20-core / 6,144 CUDA (laptops and desktops) or 18-core / 5,120 CUDA (laptops only).
• Unified memory: 24 GB up to 128 GB — this is the single biggest price lever. On the ProArt P16, 64 GB → 128 GB costs $2,500 alone.
• Storage, OLED/mini-LED displays and extended warranties add further premiums.

Price tiers and what each tier runs

Rather than chasing a single cheapest number, map price tiers to what you want to run locally. The table uses memory as the anchor because it decides which models fit. Prices are indicative bands, not quotes — check live listings in the Hardware Finder.

RTX Spark vs DGX Spark vs Mac Studio on price

DGX Spark launched in October 2025 at $3,999 for NVIDIA's own 4 TB unit, with partner systems (ASUS, Dell, Lenovo, HP, MSI, Acer, GIGABYTE) offered at various price points. It ships only with 128 GB and runs Linux. RTX Spark now brackets it on both sides: a 24 GB Surface Laptop Ultra undercuts DGX Spark by $1,400, while a 128 GB ProArt P16 costs $3,000 more — though that buys a screen, battery and portability. Apple's Mac Studio is the main non-NVIDIA alternative for large-memory local inference; it offers higher memory bandwidth at the top end but no CUDA.

• Choose DGX Spark if you want a headless Linux AI box and NVIDIA's DGX software stack.
• Choose RTX Spark if you want one machine for Windows apps, travel and local agents.
• Choose Mac Studio if you prioritise raw memory bandwidth and are comfortable without CUDA.

How to judge value: four numbers that matter

Headline AI TOPS figures are measured at low precision and rarely reflect chat or agent speed. For local LLM work, token generation speed is mostly limited by memory bandwidth, and what you can run is limited by memory capacity.

• Price per GB of unified memory — divide price by memory size.
• Memory bandwidth — higher means more tokens per second on large models.
• Sustained performance — thin laptops may throttle under long agent runs; see our Agent Readiness Score.
• Support lifetime — firmware and driver cadence (our Trust & Lifecycle Score).

When to buy

Launch-window pricing is usually the highest. If you need a machine now, buy the memory tier you will need in two years — memory cannot be upgraded on these SoCs. If you can wait, the first price cuts typically arrive around major sales periods and when second-wave OEM designs arrive. Set a price alert in the Hardware Finder to be notified.

Common pricing mistakes

Most regret comes from buying too little memory, not too little compute.

• Buying 32 GB to save money, then wanting to run 70B models.
• Comparing a laptop's price with a desktop's without factoring in screen, battery and portability.
• Ignoring regional VAT and import differences when comparing US and UK/EU listings.
• Paying for maximum storage when an external NVMe drive would do for model files.

Price per GB of unified memory

For local AI, unified memory decides which models fit, so price per GB is the fairest way to compare these machines. Lower is better. Figures use the confirmed launch configurations; where an OEM has not published the memory of a specific SKU we leave it out rather than guess.

Which price tier fits your workload

Match the tier to the largest model you plan to run day to day, then add headroom for context (KV cache) and the operating system.

When to buy: pre-order, launch week, or wait

Launch pricing on new Windows on Arm categories has historically softened within a few months as retailers bundle and discount. If you need the machine now, pre-order from a retailer with a price-protection or easy-return policy. If you are price-sensitive, waiting for the first major sales period usually saves more than chasing a launch bundle. Compact RTX Spark desktops (pricing unconfirmed at time of writing) may also undercut laptops with the same memory.

• Buy now: you need portability and local 30B+ models this quarter.
• Wait: your workload fits in 24–32 GB and you can live with cloud APIs for a few months.
• Choose DGX Spark instead: you work on Linux and want 128 GB at the lowest per-GB cost.

Hidden costs to budget for

The sticker price is not the whole cost of ownership. Factor these in before comparing to a cloud GPU subscription.

• Storage upgrades: model files are large (a 70B Q4 model is roughly 40 GB).
• Extended warranty or accidental-damage cover on a $3,000+ laptop.
• A dock or external display for long agent sessions.
• Electricity is minor: these chips draw far less than a desktop RTX GPU.

How RTXsparks sources and checks these numbers

RTXsparks is independent and not affiliated with NVIDIA or any OEM. Prices come from manufacturer launch announcements and retailer listings (US MSRP before tax unless stated). Specs come from official product pages. Performance figures are either our own lab runs, labelled community submissions, or clearly marked estimates derived from memory bandwidth. Anything a vendor has not publicly confirmed is labelled 'unconfirmed'. See the methodology page for the full SCS, ARS and TLS scoring rules.

• Prices re-checked weekly during the launch window.
• Estimates are always labelled as estimates — never presented as measured results.
• Corrections are welcome via the benchmark submission page.

Price timeline: announcement to shelves

Prices moved quickly through the launch window. This is the confirmed sequence; dates after October 17 are scheduled, not yet confirmed as shipped.

Regional pricing: what to expect outside the US

OEMs have published US prices first. UK and EU prices typically include VAT, so the sticker is usually higher than a straight currency conversion of the US price. We list regional prices only once an OEM or major retailer publishes them; until then, treat any converted figure you see elsewhere as a guess.

Should you wait for a discount?

Discounts on brand-new chip platforms tend to be small in the first months. If you need the machine for work now, the cost of waiting usually outweighs a modest sale. If you are curious rather than blocked, waiting for independent reviews and the first firmware updates is the safer move.

Buyer's checklist before you order

Most regret with these machines comes from buying too little memory. Run through this list before checking out — it applies to every RTX Spark laptop and to DGX Spark.

• Write down the largest model you want to run and look up its memory need in our VRAM guide.
• Add 20–30% headroom for context (KV cache), the OS and your other apps.
• Memory is soldered on every Grace-Blackwell system — you cannot add more later.
• Check the return window: launch-window units often have 14–30 day returns depending on the retailer.
• Confirm the exact chip configuration (core count) — OEMs ship more than one.
• Budget for fast external storage if you plan to keep a large model library.