aya-expanse:8b
OLLAMA GGUFcommand-r · 8.0B · Q4_K_M
Mar 6, 2026 · Apple M4
qwen3-vl-4b-instruct
LM-STUDIO GGUFqwen3vl · 4B · Q4_K_M
Apr 20, 2026 · Apple M2 Max
Global Score
72 vs 87
Hardware Fit
89 vs 100
Quality Score
65 vs 81
Hardware
aya-expanse:8b qwen3-vl-4b-instruct
MachineMacBook AirMac Studio
CPUApple M4Apple M2 Max
Cores1012
RAM32 GB96 GB
GPUApple M4Apple M2 Max
OSmacOS 26.3macOS 26.1
Archarm64arm64
Power Modebalancedbalanced
Performance
aya-expanse:8b qwen3-vl-4b-instruct
Tokens/sec19.771.2
First chunk350 ms4 ms
TTFT350 ms156 ms
Load time0.9 sN/A
Memory usage6.2 GB20.5 GB
Memory %20%21%
HW Fit Score Breakdown
aya-expanse:8b
Speed
39/50
TTFT
20/20
Memory
30/30
qwen3-vl-4b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
aya-expanse:8b
Reasoning
10/20
Coding
13/20
Instruction
14/20
Structured
14/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
qwen3-vl-4b-instruct
Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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