COMPUTER RECORD · SOURCED SPECIFICATIONS

GMKtec K13 · 16GB: specifications and local LLMs

16 GB system RAM. Compact Intel AI system; dual USB4 and 5GbE.

Catalog reviewed 2026-10-08. Listing evidence: 2026-09-30. Price and performance records retain their own dates.

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CPU, GPU, memory and storage

CPU: Core Ultra 7 256V · 8 cores / 8 threads
GPU: Intel Arc 140V
Installed memory: 16 GB · LPDDR5X-8533 · on-package · Amazon.com ASIN listing
GPU memory pool: Shared allocation not verified
Memory bandwidth: Not verified for this installed configuration
Storage: 1000 GB · Amazon.com ASIN listing
Operating system: Windows 11 Pro (manufacturer; seller license unverified)
Expansion: Dual M.2; dual USB4; 5GbE; Wi-Fi 6E
NPU advertised peak: 47 TOPS · not LLM tokens/s
Whole-chip advertised peak: 115 TOPS · distinct from NPU-only performance

Fixed 16GB memory limits model size and context capacity.

The 1TB Amazon configuration is verified. The manufacturer page defaults to 512GB, so its displayed price is not used for this listing. NPU TOPS are not a local LLM speed measurement.

Selected ASIN and configuration matched the indexed Amazon.com product title on 30 September 2026. The retrieved page omitted the main offer price; this is not a live price or stock check. Current seller, stock and checkout price can change.

What local models could GMKtec K13 · 16GB run?

The 16 GB system-RAM pool gives a 11.2 GB initial weight budget using our 30% (minimum 2 GB) reserve. This is a CPU-inference budget. Integrated-GPU allocation is not established.

84 catalog files pass this size check. The largest is Qwen3.8-27B-GSQ-RCO-GGUF at 10.094 GB (IQ3_XXS). This is a catalog weight limit, not a measured maximum practical model size. Context length, runtime and architecture support can rule out a candidate.

Model snapshot: 14 October 2026. The examples below use MMLU-Pro; models without that score are not ranked in this table.

MMLU-Pro memory candidates · GB = 1 billion bytes. Published scores may use different settings or precision.
Model / quantization	Weights	Parameters	Score / 100	Score / GB	Budget left	Sources
MiniCPM5 2BQ4_K_M · Pareto choice	1.561 GB	2.517B	70.8	45.346	9.639 GB	Get weights Score source
Qwen3.5-4BQ4_K_M · Pareto choice	2.741 GB	4.206B	79.1	28.859	8.459 GB	Get weights Score source
LFM2.5 230MQ4_K_M · Pareto choice	0.153 GB	0.23B	20.25	132.002	11.047 GB	Get weights Score source
Qwen3.5-9BQ4_K_M · Pareto choice	5.681 GB	9.653B	82.5	14.523	5.519 GB	Get weights Score source
gemma-4-12B-itQ4_K_M	7.122 GB	11.96B	77.2	10.84	4.078 GB	Get weights Score source

Choose this computer in the memory tool · Compare its memory tier

Published LLM performance

Local AI Stats has not tested this computer. No matching token-speed result is recorded for this configuration.

Advertised compute peaks and bandwidth are not tokens per second. Compare the same model, quantization, context and concurrency.

Price and value

ASIN: B0GFSZ63YB · Amazon.com listing

No matching current USD price verified. No verified USD price for this exact configuration. Amazon price and stock are unconfirmed.

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