qwen3.5-4b-mlx
LM-STUDIO MLXqwen3_5 · 4B · 4bit
Mar 6, 2026 · Apple M4 Pro
smollm2-360m-instruct
LM-STUDIO MLXllama · 360M · bf16
Mar 4, 2026 · Apple M4
Global Score
62 vs 52
Hardware Fit
35 vs 100
Quality Score
73 vs 32
Hardware
qwen3.5-4b-mlx smollm2-360m-instr…
MachineMac miniMacBook Air
CPUApple M4 ProApple M4
Cores1410
RAM64 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5-4b-mlx smollm2-360m-instr…
Tokens/sec0.0121.1
First chunk5548 ms106 ms
TTFT5.5 s106 ms
Load timeN/AN/A
Memory usage2.9 GB0.7 GB
Memory %5%2%
HW Fit Score Breakdown
qwen3.5-4b-mlx
Speed
0/50
TTFT
6/20
Memory
29/30
smollm2-360m-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5-4b-mlx
Reasoning
17/20
Coding
17/20
Instruction
9/20
Structured
8/15
Math
13/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Adequate Math: Strong Multilingual: Strong
smollm2-360m-instruct
Reasoning
4/20
Coding
3/20
Instruction
12/20
Structured
7/15
Math
2/15
Multilingual
4/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Poor Multilingual: Weak
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