gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Aug 25, 2026 · Apple M1 Pro
Global Score
85 vs 72
Hardware Fit
95 vs 77
Quality Score
81 vs 70
Hardware
gemma4:e4b-mlx llama3.1:8b
MachineMacBook ProMacBook Pro
CPUApple M2 ProApple M1 Pro
Cores1010
RAM16 GB16 GB
GPUApple M2 ProApple M1 Pro
OSmacOS 26.5macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e4b-mlx llama3.1:8b
Tokens/sec47.321.5
First chunk258 ms368 ms
TTFT258 ms368 ms
Load time5.1 s6.9 s
Memory usage7.9 GB12.9 GB
Memory %49%81%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
20/20
Memory
25/30
llama3.1:8b
Speed
47/50
TTFT
20/20
Memory
10/30
Quality
gemma4:e4b-mlx
Reasoning
15/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
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
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