qwen3.8-27b-mlx
LM-STUDIO UNKNOWN27B
Aug 17, 2026 · Apple M5 Max
qwen3-vl:8b
OLLAMA GGUFqwen3vl · 8.8B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
Global Score
66 vs 72
Hardware Fit
91 vs 89
Quality Score
55 vs 64
Hardware
qwen3.8-27b-mlx qwen3-vl: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-vl:8b
Tokens/sec33.268.2
First chunk7 ms285 ms
TTFT311 ms2.0 s
Load timeN/A42.4 s
Memory usage0.5 GB7.1 GB
Memory %1%3%
HW Fit Score Breakdown
qwen3.8-27b-mlx
Speed
41/50
TTFT
20/20
Memory
30/30
qwen3-vl:8b
Speed
50/50
TTFT
9/20
Memory
30/30
Quality
qwen3.8-27b-mlx
Reasoning
19/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
3/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
qwen3-vl:8b
Reasoning
16/20
Coding
3/20
Instruction
10/20
Structured
11/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate 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