# Dell XPS 16 Creator Edition (NVIDIA RTX Spark) for local AI: current facts

URL: https://insidethemachine.ai/machines/dell-xps-16-creator-edition · machines.json 2026-10-26 · prices and speeds checked 2026-10-15 · models.json 2026-10-26

With 32 GB it counts as a 32 GB machine for AI. The smartest model it runs is Qwen3.8 27B, 59% as smart as the best paid AI. 64 of 121 chat models fit its 24 GB for AI. Price unknown for this size. Up to 128 GB: Qwen3.8 27B, 59% ($7,000).

## Specs

- Kind: NVIDIA AI box (Mini PC or AI box). Shape: Laptop. Status: On sale.
- Chip: NVIDIA RTX Spark N1X (20-core CPU, 6144-core Blackwell GPU in the top version). Memory: 32 / 64 / 128 GB, Shared (unified): the chip and the graphics use one pool.
- Memory for AI: 24 / 48 / 96 GB. 75% of the memory. An estimate.
- Memory speed: unknown (Not published.). Memory type: LPDDR5X. Spec source: Dell US store: XPS 16 Creator Edition, 2026-10-22, https://www.dell.com/en-us/shop/laptop-computers/spd/xps16dx16263.
- Power: unknown. Launch price: $7,000.
- From our data notes: On sale from Dell in the US and, per Notebookcheck (press), in Canada, the Eurozone, the UK and Australia. The Dell page lists the 128 GB LPDDR5X version with 20 cores, a 6144-core GPU and a 2 TB SSD at $6,999.99. Press reports 32 GB and 64 GB versions too, and an 18-core version with a 5,120-core GPU, from $3,799 (press only, so no price row). In North America 128 GB comes only with the 2 TB SSD. The Buy Now button showed a technical-issue message when the page was opened on 2026-10-22. Windows 11 Home.

## Memory sizes (Fig. 1)

Rules: We round each machine down to the biggest standard size (8 to 512 GB) whose memory for AI it has. The GeForce RTX 5090 has 31 GB for AI. A standard 32 GB computer has 24 GB and a 48 GB one has 36 GB, so it counts as 32 GB. It counts as that size for the model picks per size and for the recipes. A machine's fit count ("N of 121 chat models fit") uses its own memory for AI, so its machine page, its /machines row, /my and the /best guides give the same number. So 79 of 121 chat models fit the GeForce RTX 5090, and 64 fit a standard 32 GB computer. "The smartest model it runs" uses the machine's own memory for AI, so a 24 GB graphics card (23 GB for AI) can run a bigger model than a 24 GB Mac (18 GB for AI).

| memory GB | for AI GB | counts as GB | chat models that fit its memory for AI (of 121) | for comparison: fit a standard computer of that size (of 121) | smartest model it runs | % of best paid AI | price |
|---|---|---|---|---|---|---|---|
| 32 | 24 | 32 | 64 | 64 | Qwen3.8 27B | 59% | no dated price in our data |
| 64 | 48 | 64 | 81 | 81 | Qwen3.8 27B | 59% | no dated price in our data |
| 128 | 96 | 128 | 94 | 94 | Qwen3.8 27B | 59% | $7,000 (Dell, 2026-10-22) |


## The 24/7 helper (Fig. 1a)

Rule: The helper's brain, ears (speech to text) and voice (text to speech) stay loaded together. Ears and voice get up to 15% of the memory for AI each. The brain is the best model that can use tools and fits in the rest. To make an image, the helper pauses the brain and the image model uses its space. Same rule as Fig. 2 on /explore and /my.

| memory GB | brain | ears (speech to text) | voice (text to speech) | free GB | kept for the system GB | image model (the brain pauses) | brain run command |
|---|---|---|---|---|---|---|---|
| 32 | Gemma 4 12B (11.2 GB, 25%) | Qwen3-ASR 1.7B (3 GB) | Magpie TTS Multilingual 357M (2 GB) | 7.8 | 8 | Z-Image Turbo (4 GB) | `ollama run gemma4:12b` (Ollama) |
| 64 | Qwen3.8 27B (22.7 GB, 59%) | Granite Speech 5.0 2B (6 GB) | Magpie TTS Multilingual 357M (2 GB) | 17.3 | 16 | FLUX.2 [dev] (24 GB) | `ollama run qwen3.8:27b` (Ollama) |
| 128 | Qwen3.8 27B (22.7 GB, 59%) | Granite Speech 5.0 2B (6 GB) | Breeze TTS 2 (8 GB) | 59.3 | 32 | Qwen-Image 2.1 (46 GB) | `ollama run qwen3.8:27b` (Ollama) |

- 32 GB: why not Qwen3.8 27B as the brain? Qwen3.8 27B needs 22.7 GB. Next to the ears and voice, the brain has 19 GB left.

## Top picks per size (Fig. 1b, judged on this machine's own memory for AI)

Fit rule: We count 75% of your memory as usable for AI. The rest is for the system and your apps. Runs well: the model fits in usable memory with at least 10% to spare. Runs, but tight: it fits, but less than 10% of usable memory is left. Close other apps first. Needs N GB+: it does not fit. N is the smallest memory size it fits in. Size unknown: we do not know how much memory it needs. On this page "usable" is the machine's own memory for AI.

- 32 GB (24 GB for AI): smartest it runs Qwen3.8 27B, 59%, Runs, but tight, run: `ollama run qwen3.8:27b` (Ollama).
  Top picks: Qwen3.8 27B 59%, needs 22.7 GB, Runs, but tight; Qwen3.5 27B 40%, needs 21.5 GB, Runs well; Qwen3.6 27B 37%, needs 21.5 GB, Runs well; K2 Horizon 7B 36%, needs 8.6 GB, needs a Mac; Muse Glimmer 30B 30%, needs 22.7 GB, Runs, but tight.
  Best by job, at the standard 32 GB size: code Qwen3.8 27B; agents Qwen3.8 27B; reads images Qwen3.8 27B.
  Set this as your computer: https://insidethemachine.ai/my?os=linux&hw=dell-xps-16-creator-edition&ram=32
- 64 GB (48 GB for AI): smartest it runs Qwen3.8 27B, 59%, Runs well, run: `ollama run qwen3.8:27b` (Ollama).
  Top picks: Qwen3.8 27B 59%, needs 22.7 GB, Runs well; K2 Horizon MoVA 36B-A4B 44%, needs 28.1 GB, needs a Mac; Qwen3.5 27B 40%, needs 21.5 GB, Runs well; Qwen3.6 27B 37%, needs 21.5 GB, Runs well; Nemotron 3.5 Bolt 74B-A9B 37%, needs 30.7 GB, Runs well.
  Best by job, at the standard 64 GB size: code Qwen3.8 27B; agents Qwen3.8 27B; reads images Qwen3.8 27B.
  Set this as your computer: https://insidethemachine.ai/my?os=linux&hw=dell-xps-16-creator-edition&ram=64
- 128 GB (96 GB for AI): smartest it runs Qwen3.8 27B, 59%, Runs well, run: `ollama run qwen3.8:27b` (Ollama).
  Top picks: Qwen3.8 27B 59%, needs 22.7 GB, Runs well; K2 Horizon MoVA 36B-A4B 44%, needs 28.1 GB, needs a Mac; Qwen3.5 27B 40%, needs 21.5 GB, Runs well; Qwen3.6 27B 37%, needs 21.5 GB, Runs well; Nemotron 3.5 Bolt 74B-A9B 37%, needs 30.7 GB, Runs well.
  Best by job, at the standard 128 GB size: code Qwen3.8 27B; agents Qwen3.8 27B; reads images Qwen3.8 27B.
  Set this as your computer: https://insidethemachine.ai/my?os=linux&hw=dell-xps-16-creator-edition&ram=128

## Prices (Fig. 3, approximate, USD, cheapest first)

Prices are approximate, in US dollars, with the shop and the date we checked. A memory-chip shortage pushed 2026 prices up. Check before you buy.

Per memory size: 32 GB no dated price in our data; 64 GB no dated price in our data; 128 GB $7,000 (Dell, 2026-10-22).

| price USD | condition | what you get | kind of price | shop or tracker | date | link |
|---|---|---|---|---|---|---|
| $7,000 | new | 128GB LPDDR5X, 2TB SSD, RTX Spark N1X 20-core | List price | Dell (US) | 2026-10-22 | https://www.dell.com/en-us/shop/laptop-computers/spd/xps16dx16263 |

## Published speeds (Fig. 4, not our tests)

Speeds are copied from published tests by makers and the community, with sources. We did not run them. Different apps and settings give different speeds, so compare with care. On the page each bar is a share of the fastest published result for that model on any machine in our data.

None found yet. Memory speed (unknown GB/s) is the best guide: higher means faster answers.

Check your own computer (read-only, sends nothing): `curl -fsSL https://insidethemachine.ai/scan.sh | sh` (Mac or Linux) or `irm https://insidethemachine.ai/scan.ps1 | iex` (Windows PowerShell).

---

Reference file (https://insidethemachine.ai/machines/dell-xps-16-creator-edition.md). Its "chat models that fit" counts this machine's own memory for AI.

# Dell XPS 16 Creator Edition (NVIDIA RTX Spark) for local AI

URL: https://insidethemachine.ai/machines/dell-xps-16-creator-edition
Type: NVIDIA AI box. Chip: NVIDIA RTX Spark N1X (20-core CPU, 6144-core Blackwell GPU in the top version). Memory: unified, options 32, 64, 128 GB. Bandwidth: unknown GB/s (Not published.). Spec source: https://www.dell.com/en-us/shop/laptop-computers/spd/xps16dx16263 (2026-10-22).
Price: from about $7,000 for the 128 GB model (2026-10-22, approximate). Status: current.

## Which models fit

Not a Mac: models marked (Mac only) need MLX on a Mac, so the best it runs is the best with an Ollama download.

| memory GB | usable GB | chat models that fit its own usable GB (of 121) | best 3 that fit | best it runs |
|---|---|---|---|---|
| 32 | 24 | 64 | Qwen3.8 27B (22.7 GB), Qwen3.5 27B (21.5 GB), Qwen3.6 27B (21.5 GB) | Qwen3.8 27B |
| 64 | 48 | 81 | Qwen3.8 27B (22.7 GB), K2 Horizon MoVA 36B-A4B (28.1 GB, Mac only), Qwen3.5 27B (21.5 GB) | Qwen3.8 27B |
| 128 | 96 | 94 | Qwen3.8 27B (22.7 GB), K2 Horizon MoVA 36B-A4B (28.1 GB, Mac only), Qwen3.5 27B (21.5 GB) | Qwen3.8 27B |

## Published speeds

None found yet.

Notes: On sale from Dell in the US and, per Notebookcheck (press), in Canada, the Eurozone, the UK and Australia. The Dell page lists the 128 GB LPDDR5X version with 20 cores, a 6144-core GPU and a 2 TB SSD at $6,999.99. Press reports 32 GB and 64 GB versions too, and an 18-core version with a 5,120-core GPU, from $3,799 (press only, so no price row). In North America 128 GB comes only with the 2 TB SSD. The Buy Now button showed a technical-issue message when the page was opened on 2026-10-22. Windows 11 Home.

## Questions

**What is the best local LLM for the Dell XPS 16 Creator Edition (NVIDIA RTX Spark)?**
With 128 GB, Qwen3.8 27B (needs 22.7 GB). Its Artificial Analysis score is 33.7: 59% of the best paid AI, Claude Opus 5.5. 94 of the 121 open chat models fit in its own 96 GB for AI. With 32 GB: Qwen3.8 27B.

**How much does the Dell XPS 16 Creator Edition (NVIDIA RTX Spark) cost?**
From about $7,000 for the 128 GB model (as of 2026-10-22). 2026 prices are inflated by the memory-chip shortage; check before buying.