qwen3:14b

qwen3 · 14.8B · Q4_K_M

Micro-Star International Co., Ltd. Stealth GS77 12UH (Intel Gen Intel® Core™ i9-12900H)

32 GB · Microsoft Windows 11 Home 10.0.26200

Tested on October 31, 2026

Top 53% Compare

Global Score

76 /100

Good

Hardware Fit

58/100

Quality

84/100

Get this model

🦙

Ollama

ollama pull qwen3:14b

View on Ollama Library

ollama.com/library/qwen3

Get it in LM Studio

Search and download models directly from the app

🤗

Find on HuggingFace

GGUF versions & quantizations

Hardware

Machine: Micro-Star International Co., Ltd. Stealth GS77 12UH
CPU: Intel Gen Intel® Core™ i9-12900H
Cores: 20 total (20 perf)
Frequency: 2.9 GHz
RAM: 32 GB DDR5
GPU: Intel(R) Iris(R) Xe Graphics, NVIDIA GeForce RTX 3080 Laptop GPU
OS: Microsoft Windows 11 Home 10.0.26200
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 5.6
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±3.0
First chunk latency Delay before the first streamed chunk arrives from runtime: 841 ms
Time to first token How fast the model starts responding — lower is better: 841 ms
Load time Time to load the model into memory before inference: 16.9 s
Memory usage RAM consumed during inference — percentage of total system memory: 10.1 GB (32%)
Total tokens Total number of tokens generated across all benchmark prompts: 962

Score breakdown

Speed

8/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

17/20

Coding

17/20

Instruction following

13/20

Structured output

15/15

Math

12/15

Multilingual

10/10

Category levels

Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.40.13
Model format: GGUF
Hardware profile: BALANCED
Result hash: 7940692a26a08872abb3461cfb673f01e322923fd9fcdc0ab3cc1bb246f6de8c

Interpretation

Hardware fit: 58/100. Overall suitability: GOOD (Global 76/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Warnings

Token speed is unstable (stddev 3.0 tok/s, mean 5.6 tok/s) — may indicate thermal throttling or memory pressure.
Significant swap activity during benchmark (+0.9 GB). Model may exceed available RAM — results are severely degraded.

Bench Environment

Power: AC Swap delta: +0.9 GB CPU load: avg 68% (peak 77%)

Run yours now

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest