qwen2.5-0.5b-instruct-mlx
LM-STUDIO MLXqwen2 · 0.5B · 4bit
Mar 4, 2026 · Apple M4
gemma4:12b-mlx
OLLAMA GGUFJul 4, 2026 · Apple M2 Pro
Global Score
52 vs 84
Hardware Fit
100 vs 82
Quality Score
31 vs 85
Hardware
qwen2.5-0.5b-instr… gemma4:12b-mlx
MachineMacBook AirMacBook Pro
CPUApple M4Apple M2 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M2 Pro
OSmacOS 26.3macOS 26.5
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen2.5-0.5b-instr… gemma4:12b-mlx
Tokens/sec257.527.2
First chunk99 ms732 ms
TTFT99 ms8.1 s
Load timeN/A3.5 s
Memory usage0.3 GB7.1 GB
Memory %1%44%
HW Fit Score Breakdown
qwen2.5-0.5b-instruct-mlx
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:12b-mlx
Speed
50/50
TTFT
6/20
Memory
26/30
Quality
qwen2.5-0.5b-instruct-mlx
Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
10/15
Math
2/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
gemma4:12b-mlx
Reasoning
16/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong 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