qwen3.5-4b-mlx
LM-STUDIO MLXqwen3_5 · 4B · 4bit
Mar 6, 2026 · Apple M4 Pro
ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
Global Score
62 vs 79
Hardware Fit
35 vs 98
Quality Score
73 vs 71
Hardware
qwen3.5-4b-mlx ministral-3:8b
MachineMac miniMac mini
CPUApple M4 ProApple M4 Pro
Cores1412
RAM64 GB24 GB
GPUApple M4 ProApple M4 Pro
OSmacOS 15.7.4macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5-4b-mlx ministral-3:8b
Tokens/sec0.041.4
First chunk5548 ms257 ms
TTFT5.5 s257 ms
Load timeN/A5.2 s
Memory usage2.9 GB9.0 GB
Memory %5%38%
HW Fit Score Breakdown
qwen3.5-4b-mlx
Speed
0/50
TTFT
6/20
Memory
29/30
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
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
ministral-3:8b
Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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