gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
mistral-nemo:12b
OLLAMA GGUFllama · 12.2B · Q4_0
Mar 1, 2026 · Apple M4
Global Score
85 vs 71
Hardware Fit
95 vs 86
Quality Score
81 vs 65
Hardware
gemma4:e4b-mlx mistral-nemo:12b
MachineMacBook ProMacBook Air
CPUApple M2 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M2 ProApple M4
OSmacOS 26.5macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e4b-mlx mistral-nemo:12b
Tokens/sec47.314.6
First chunk258 msN/A
TTFT258 ms371 ms
Load time5.1 s1.0 s
Memory usage7.9 GB13.3 GB
Memory %49%42%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
20/20
Memory
25/30
mistral-nemo:12b
Speed
26/50
TTFT
30/20
Memory
30/30
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
mistral-nemo:12b
Reasoning
12/20
Coding
13/20
Instruction
11/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor 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