llama2:13b
OLLAMA GGUFllama · 13B · Q4_0
Mar 2, 2026 · Apple M4
qwen3:30b
OLLAMA GGUFqwen3moe · 30.5B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
Global Score
56 vs 86
Hardware Fit
84 vs 98
Quality Score
44 vs 81
Hardware
llama2:13b qwen3:30b
MachineMacBook AirASUS
CPUApple M4Intel Core™ Ultra 9 285K
Cores1024
RAM32 GB47 GB
GPUApple M4NVIDIA GeForce RTX 5090, Intel(R) Graphics
OSmacOS 26.3Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
llama2:13b qwen3:30b
Tokens/sec13.5204.8
First chunkN/A96 ms
TTFT415 ms674 ms
Load time0.6 s5.2 s
Memory usage10.3 GB20.5 GB
Memory %32%43%
HW Fit Score Breakdown
llama2:13b
Speed
24/50
TTFT
30/20
Memory
30/30
qwen3:30b
Speed
50/50
TTFT
20/20
Memory
28/30
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
qwen3:30b
Reasoning
16/20
Coding
12/20
Instruction
17/20
Structured
12/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate 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