llama2:13b
OLLAMA GGUFllama · 13B · Q4_0
Mar 2, 2026 · Apple M4
qwen3.6-35b-a3b
LM-STUDIO GGUFqwen35moe · 35B · Q4_K_S
Apr 20, 2026 · Apple M2 Max
Global Score
56 vs 82
Hardware Fit
84 vs 80
Quality Score
44 vs 83
Hardware
llama2:13b qwen3.6-35b-a3b
MachineMacBook AirMac Studio
CPUApple M4Apple M2 Max
Cores1012
RAM32 GB96 GB
GPUApple M4Apple M2 Max
OSmacOS 26.3macOS 26.1
Archarm64arm64
Power Modebalancedbalanced
Performance
llama2:13b qwen3.6-35b-a3b
Tokens/sec13.555.2
First chunkN/A4 ms
TTFT415 ms30.0 s
Load time0.6 sN/A
Memory usage10.3 GB30.3 GB
Memory %32%32%
HW Fit Score Breakdown
llama2:13b
Speed
24/50
TTFT
30/20
Memory
30/30
qwen3.6-35b-a3b
Speed
50/50
TTFT
0/20
Memory
30/30
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
qwen3.6-35b-a3b
Reasoning
18/20
Coding
10/20
Instruction
18/20
Structured
14/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Weak Instruction Following: Strong Structured Output: Strong 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