llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Mar 2, 2026 · Apple M4
gemma-3-27b-it-qat
LM-STUDIO MLXgemma3 · 27B · 4bit
Mar 5, 2026 · Apple M4 Pro
Global Score
75 vs 76
Hardware Fit
93 vs 51
Quality Score
67 vs 87
Hardware
llama3.1:8b gemma-3-27b-it-qat
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
llama3.1:8b gemma-3-27b-it-qat
Tokens/sec20.38.9
First chunkN/A3976 ms
TTFT315 ms4.0 s
Load time1.1 sN/A
Memory usage10.4 GB15.7 GB
Memory %33%25%
HW Fit Score Breakdown
llama3.1:8b
Speed
33/50
TTFT
30/20
Memory
30/30
gemma-3-27b-it-qat
Speed
12/50
TTFT
9/20
Memory
30/30
Quality
llama3.1:8b
Reasoning
12/20
Coding
15/20
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