aya-expanse:8b
OLLAMA GGUFcommand-r · 8.0B · Q4_K_M
Mar 6, 2026 · Apple M4
qwen3.5-2b-mlx
LM-STUDIO MLXqwen3_5 · 2B · 4bit
Mar 6, 2026 · Apple M4 Pro
Global Score
72 vs 65
Hardware Fit
89 vs 88
Quality Score
65 vs 55
Hardware
aya-expanse:8b qwen3.5-2b-mlx
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
aya-expanse:8b qwen3.5-2b-mlx
Tokens/sec19.748.9
First chunk350 ms4208 ms
TTFT350 ms4.2 s
Load time0.9 sN/A
Memory usage6.2 GB1.6 GB
Memory %20%3%
HW Fit Score Breakdown
aya-expanse:8b
Speed
39/50
TTFT
20/20
Memory
30/30
qwen3.5-2b-mlx
Speed
50/50
TTFT
8/20
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
qwen3.5-2b-mlx
Reasoning
10/20
Coding
7/20
Instruction
13/20
Structured
14/15
Math
3/15
Multilingual
8/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor 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