llama2:13b
OLLAMA GGUFllama · 13B · Q4_0
Mar 2, 2026 · Apple M4
qwen3.5-9b
LM-STUDIO MLXqwen3_5 · 9B · 4bit
Mar 3, 2026 · Apple M4
Global Score
56 vs 81
Hardware Fit
84 vs 84
Quality Score
44 vs 79
Hardware
llama2:13b qwen3.5-9b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
llama2:13b qwen3.5-9b
Tokens/sec13.520.4
First chunkN/A3034 ms
TTFT415 ms3.0 s
Load time0.6 sN/A
Memory usage10.3 GB5.6 GB
Memory %32%17%
HW Fit Score Breakdown
llama2:13b
Speed
24/50
TTFT
30/20
Memory
30/30
qwen3.5-9b
Speed
41/50
TTFT
14/20
Memory
29/30
Quality
llama2:13b
Reasoning
9/20
Coding
3/20
Instruction
13/20
Structured
7/15
Math
3/15
Multilingual
9/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Poor Multilingual: Strong
qwen3.5-9b
Reasoning
14/20
Coding
15/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate 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