qwen3.8-27b-mlx
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 17, 2026 · Apple M5 Max
qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
Global Score
59 vs 80
Hardware Fit
63 vs 85
Quality Score
58 vs 78
Hardware
qwen3.8-27b-mlx qwen3:8b
MachineMacBook ProHP HP Z8 G4 Workstation
CPUApple M5 MaxIntel Xeon® Gold 6230
Cores1880
RAM64 GB252 GB
GPUApple M5 MaxTU104GL [Quadro RTX 5000]
OSmacOS 27.0Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
qwen3.8-27b-mlx qwen3:8b
Tokens/sec18.365.1
First chunk4 ms289 ms
TTFT530 ms4.2 s
Load timeN/A4.6 s
Memory usage38.5 GB5.6 GB
Memory %60%2%
HW Fit Score Breakdown
qwen3.8-27b-mlx
Speed
23/50
TTFT
20/20
Memory
20/30
qwen3:8b
Speed
50/50
TTFT
5/20
Memory
30/30
Quality
qwen3.8-27b-mlx
Reasoning
19/20
Coding
14/20
Instruction
6/20
Structured
1/15
Math
13/15
Multilingual
5/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
qwen3:8b
Reasoning
17/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong 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