qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Aug 19, 2026 · Apple M4 Max
qwen3-vl:30b
OLLAMA GGUFqwen3vlmoe · 31.1B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
Global Score
83 vs 80
Hardware Fit
68 vs 98
Quality Score
90 vs 72
Hardware
qwen/qwen3.8-27b qwen3-vl:30b
MachineMacBook ProASUS
CPUApple M4 MaxIntel Core™ Ultra 9 285K
Cores1624
RAM128 GB47 GB
GPUApple M4 MaxNVIDIA GeForce RTX 5090, Intel(R) Graphics
OSmacOS 26.5.2Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen/qwen3.8-27b qwen3-vl:30b
Tokens/sec27.6208.9
First chunk10 ms102 ms
TTFT4.6 s684 ms
Load timeN/A0.1 s
Memory usage21.0 GB22.0 GB
Memory %16%47%
HW Fit Score Breakdown
qwen/qwen3.8-27b
Speed
32/50
TTFT
6/20
Memory
30/30
qwen3-vl:30b
Speed
50/50
TTFT
20/20
Memory
28/30
Quality
qwen/qwen3.8-27b
Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
qwen3-vl:30b
Reasoning
14/20
Coding
6/20
Instruction
17/20
Structured
12/15
Math
13/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Strong 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