aya:8b
OLLAMA GGUFcommand-r · 8.0B · F16
Mar 1, 2026 · Apple M4
qwen3-vl:8b
OLLAMA GGUFqwen3vl · 8.8B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
Global Score
66 vs 72
Hardware Fit
92 vs 89
Quality Score
55 vs 64
Hardware
aya:8b qwen3-vl:8b
MachineMacBook AirHP HP Z8 G4 Workstation
CPUApple M4Intel Xeon® Gold 6230
Cores1080
RAM32 GB252 GB
GPUApple M4TU104GL [Quadro RTX 5000]
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
aya:8b qwen3-vl:8b
Tokens/sec20.068.2
First chunkN/A285 ms
TTFT300 ms2.0 s
Load time0.9 s42.4 s
Memory usage6.0 GB7.1 GB
Memory %19%3%
HW Fit Score Breakdown
aya:8b
Speed
32/50
TTFT
30/20
Memory
30/30
qwen3-vl:8b
Speed
50/50
TTFT
9/20
Memory
30/30
Quality
aya:8b
Reasoning
10/20
Coding
6/20
Instruction
13/20
Structured
15/15
Math
2/15
Multilingual
9/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor 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