llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Aug 25, 2026 · Apple M1 Pro
qwen2.5:1.5b
OLLAMA GGUFqwen2 · 1.5B · Q4_K_M
Mar 16, 2026 · Intel Core™ i7-4771
Global Score
72 vs 65
Hardware Fit
77 vs 92
Quality Score
70 vs 54
Hardware
llama3.1:8b qwen2.5:1.5b
MachineMacBook ProiMac
CPUApple M1 ProIntel Core™ i7-4771
Cores108
RAM16 GB32 GB
GPUApple M1 ProNVIDIA GeForce GTX 780M
OSmacOS 26.6.2macOS 15.7.3
Archarm64x64
Power Modebalancedbalanced
Performance
llama3.1:8b qwen2.5:1.5b
Tokens/sec21.519.6
First chunk368 ms690 ms
TTFT368 ms690 ms
Load time6.9 s21.4 s
Memory usage12.9 GB1.0 GB
Memory %81%3%
HW Fit Score Breakdown
llama3.1:8b
Speed
47/50
TTFT
20/20
Memory
10/30
qwen2.5:1.5b
Speed
42/50
TTFT
20/20
Memory
30/30
Quality
llama3.1:8b
Reasoning
12/20
Coding
18/20
Instruction
13/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
qwen2.5:1.5b
Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate
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