llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Aug 25, 2026 · Apple M1 Pro
gemma-3-27b-it-qat
LM-STUDIO MLXgemma3 · 27B · 4bit
Mar 5, 2026 · Apple M4 Pro
Global Score
72 vs 76
Hardware Fit
77 vs 51
Quality Score
70 vs 87
Hardware
llama3.1:8b gemma-3-27b-it-qat
MachineMacBook ProMac mini
CPUApple M1 ProApple M4 Pro
Cores1014
RAM16 GB64 GB
GPUApple M1 ProApple M4 Pro
OSmacOS 26.6.2macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
llama3.1:8b gemma-3-27b-it-qat
Tokens/sec21.58.9
First chunk368 ms3976 ms
TTFT368 ms4.0 s
Load time6.9 sN/A
Memory usage12.9 GB15.7 GB
Memory %81%25%
HW Fit Score Breakdown
llama3.1:8b
Speed
47/50
TTFT
20/20
Memory
10/30
gemma-3-27b-it-qat
Speed
12/50
TTFT
9/20
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
gemma-3-27b-it-qat
Reasoning
16/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong 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