qwen3.5-2b-mlx
LM-STUDIO MLXqwen3_5 · 2B · 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
65 vs 79
Hardware Fit
88 vs 98
Quality Score
55 vs 71
Hardware
qwen3.5-2b-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
qwen3.5-2b-mlx ministral-3:8b
Tokens/sec48.941.4
First chunk4208 ms257 ms
TTFT4.2 s257 ms
Load timeN/A5.2 s
Memory usage1.6 GB9.0 GB
Memory %3%38%
HW Fit Score Breakdown
qwen3.5-2b-mlx
Speed
50/50
TTFT
8/20
Memory
30/30
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
Quality
qwen3.5-2b-mlx
Reasoning
10/20
Coding
7/20
Instruction
13/20
Structured
14/15
Math
3/15
Multilingual
8/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor 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