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qwen3:14b

OLLAMA GGUF

qwen3 · 14.8B · Q4_K_M

Excellent

Mar 19, 2026 · Apple M4

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 3, 2026 · Apple M4

Global Score
82 vs 55
Hardware Fit
71 vs 87
Quality Score
86 vs 41

Hardware

qwen3:14b qwen3.5-0.8b-mlx
MachineMac miniMacBook Air
CPUApple M4Apple M4
Cores1010
RAM24 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3:14b qwen3.5-0.8b-mlx
Tokens/sec10.368.2
First chunk513 ms3268 ms
TTFT513 ms3.3 s
Load time7.2 sN/A
Memory usage9.4 GB0.6 GB
Memory %39%2%

HW Fit Score Breakdown

qwen3:14b

Speed
23/50
TTFT
20/20
Memory
28/30

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
13/20
Memory
24/30

Quality

qwen3:14b

Reasoning
17/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

qwen3.5-0.8b-mlx

Reasoning
8/20
Coding
1/20
Instruction
12/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

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