qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 19, 2026 · Apple M4 Max
qwen3-vl:8b
OLLAMA GGUFqwen3vl · 8.8B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
Global Score
80 vs 72
Hardware Fit
52 vs 89
Quality Score
92 vs 64
Hardware
qwen/qwen3.8-27b qwen3-vl:8b
MachineMacBook ProHP HP Z8 G4 Workstation
CPUApple M4 MaxIntel Xeon® Gold 6230
Cores1680
RAM128 GB252 GB
GPUApple M4 MaxTU104GL [Quadro RTX 5000]
OSmacOS 26.5.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
qwen/qwen3.8-27b qwen3-vl:8b
Tokens/sec16.168.2
First chunk14 ms285 ms
TTFT5.8 s2.0 s
Load time8.5 s42.4 s
Memory usage0.0 GB7.1 GB
Memory %0%3%
HW Fit Score Breakdown
qwen/qwen3.8-27b
Speed
17/50
TTFT
5/20
Memory
30/30
qwen3-vl:8b
Speed
50/50
TTFT
9/20
Memory
30/30
Quality
qwen/qwen3.8-27b
Reasoning
19/20
Coding
16/20
Instruction
17/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
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