qwen3.8-27b-mlx
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Oct 20, 2026 · Apple M1 Pro
ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
Global Score
78 vs 79
Hardware Fit
56 vs 98
Quality Score
87 vs 71
Hardware
qwen3.8-27b-mlx ministral-3:8b
MachineMacBook ProMac mini
CPUApple M1 ProApple M4 Pro
Cores1012
RAM32 GB24 GB
GPUApple M1 ProApple M4 Pro
OSmacOS 15.6.1macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.8-27b-mlx ministral-3:8b
Tokens/sec10.841.4
First chunk8 ms257 ms
TTFT2.6 s257 ms
Load timeN/A5.2 s
Memory usage21.0 GB9.0 GB
Memory %66%38%
HW Fit Score Breakdown
qwen3.8-27b-mlx
Speed
23/50
TTFT
16/20
Memory
17/30
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
Quality
qwen3.8-27b-mlx
Reasoning
18/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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