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qwen3.5:4b-mlx

OLLAMA GGUF

nvfp4

Marginal

Aug 24, 2026 · Apple M2

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
53 vs 89
Hardware Fit
81 vs 95
Quality Score
41 vs 87

Hardware

qwen3.5:4b-mlx qwen/qwen3-8b
MachineMac miniMac mini
CPUApple M2Apple M4 Pro
Cores814
RAM8 GB64 GB
GPUApple M2Apple M4 Pro
OSmacOS 26.5.2macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5:4b-mlx qwen/qwen3-8b
Tokens/sec24.833.4
First chunk317 ms257 ms
TTFT7.4 s257 ms
Load time0.0 sN/A
Memory usage3.9 GB4.3 GB
Memory %49%7%

HW Fit Score Breakdown

qwen3.5:4b-mlx

Speed
50/50
TTFT
6/20
Memory
25/30

qwen/qwen3-8b

Speed
45/50
TTFT
20/20
Memory
30/30

Quality

qwen3.5:4b-mlx

Reasoning
13/20
Coding
2/20
Instruction
4/20
Structured
4/15
Math
10/15
Multilingual
8/10
Reasoning: Adequate Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Adequate Multilingual: Strong

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3.5:4b-mlx details | View qwen/qwen3-8b details

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