gemma4:e2b-mlx
OLLAMA GGUFAug 25, 2026 · Apple M1 Pro
mistralai/magistral-small-2509
LM-STUDIO MLXmistral3 · 24B · 4bit
Mar 4, 2026 · Apple M4
Global Score
82 vs 74
Hardware Fit
99 vs 66
Quality Score
75 vs 78
Hardware
gemma4:e2b-mlx mistralai/magistra…
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e2b-mlx mistralai/magistra…
Tokens/sec70.47.9
First chunk96 ms1356 ms
TTFT96 ms1.4 s
Load time2.5 sN/A
Memory usage5.7 GB13.2 GB
Memory %36%41%
HW Fit Score Breakdown
gemma4:e2b-mlx
Speed
50/50
TTFT
20/20
Memory
29/30
mistralai/magistral-sma…
Speed
16/50
TTFT
20/20
Memory
30/30
Quality
gemma4:e2b-mlx
Reasoning
14/20
Coding
14/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
mistralai/magistral-sma…
Reasoning
14/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
7/15
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