qwen3.5:4b-mlx
OLLAMA GGUFnvfp4
Aug 25, 2026 · Apple M1 Pro
qwen2.5-7b-instruct
LM-STUDIO MLXqwen2 · 7B · 4bit
Mar 3, 2026 · Apple M4
Global Score
68 vs 84
Hardware Fit
91 vs 97
Quality Score
58 vs 78
Hardware
qwen3.5:4b-mlx qwen2.5-7b-instruct
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5:4b-mlx qwen2.5-7b-instruct
Tokens/sec42.224.4
First chunk201 ms464 ms
TTFT4.4 s464 ms
Load time0.0 sN/A
Memory usage3.8 GB4.0 GB
Memory %24%13%
HW Fit Score Breakdown
qwen3.5:4b-mlx
Speed
50/50
TTFT
11/20
Memory
30/30
qwen2.5-7b-instruct
Speed
47/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5:4b-mlx
Reasoning
16/20
Coding
2/20
Instruction
13/20
Structured
7/15
Math
11/15
Multilingual
9/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Adequate Multilingual: Strong
qwen2.5-7b-instruct
Reasoning
14/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest