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qwen3.5:4b-mlx

OLLAMA GGUF

nvfp4

Marginal

Aug 24, 2026 · Apple M2

qwen3.8-27b-mlx

LM-STUDIO UNKNOWN

27B

Good

Aug 17, 2026 · Apple M5 Max

Global Score
53 vs 66
Hardware Fit
81 vs 91
Quality Score
41 vs 55

Hardware

qwen3.5:4b-mlx qwen3.8-27b-mlx
MachineMac miniMacBook Pro
CPUApple M2Apple M5 Max
Cores818
RAM8 GB64 GB
GPUApple M2Apple M5 Max
OSmacOS 26.5.2macOS 27.0
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5:4b-mlx qwen3.8-27b-mlx
Tokens/sec24.833.2
First chunk317 ms7 ms
TTFT7.4 s311 ms
Load time0.0 sN/A
Memory usage3.9 GB0.5 GB
Memory %49%1%

HW Fit Score Breakdown

qwen3.5:4b-mlx

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

qwen3.8-27b-mlx

Speed
41/50
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

qwen3.8-27b-mlx

Reasoning
19/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
3/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak

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