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qwen3:14b

OLLAMA GGUF

qwen3 · 14.8B · Q4_K_M

Marginal

Mar 5, 2026 · Apple M1 Max

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
58 vs 81
Hardware Fit
82 vs 96
Quality Score
48 vs 75

Hardware

qwen3:14b qwen3:8b
MachineMacBook ProASUS
CPUApple M1 MaxIntel Core™ i5-14600KF
Cores1020
RAM32 GB32 GB
GPUApple M1 MaxNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3:14b qwen3:8b
Tokens/sec24.4109.1
First chunk294 ms190 ms
TTFT7.9 s190 ms
Load time3.7 s4.3 s
Memory usage13.8 GB5.6 GB
Memory %43%18%

HW Fit Score Breakdown

qwen3:14b

Speed
47/50
TTFT
5/20
Memory
30/30

qwen3:8b

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

Quality

qwen3:14b

Reasoning
13/20
Coding
6/20
Instruction
10/20
Structured
9/15
Math
2/15
Multilingual
8/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor 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