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qwen3:14b

OLLAMA GGUF

qwen3 · 14.8B · Q4_K_M

Excellent

Mar 11, 2026 · Apple M4

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
83 vs 81
Hardware Fit
73 vs 96
Quality Score
87 vs 75

Hardware

qwen3:14b qwen3:8b
MachineMac miniASUS
CPUApple M4Intel Core™ i5-14600KF
Cores1020
RAM24 GB32 GB
GPUApple M4NVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3:14b qwen3:8b
Tokens/sec11.1109.1
First chunk500 ms190 ms
TTFT500 ms190 ms
Load time7.3 s4.3 s
Memory usage9.4 GB5.6 GB
Memory %39%18%

HW Fit Score Breakdown

qwen3:14b

Speed
25/50
TTFT
20/20
Memory
28/30

qwen3:8b

Speed
50/50
TTFT
20/20
Memory
26/30

Quality

qwen3:14b

Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

qwen3:8b

Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest