gemma4:12b-mlx
OLLAMA GGUFJul 4, 2026 · Apple M2 Pro
qwen2.5-coder-1.5b-instruct-mlx
LM-STUDIO MLXqwen2 · 1.5B · 8bit
Mar 4, 2026 · Apple M4
Global Score
91 vs 70
Hardware Fit
96 vs 100
Quality Score
89 vs 57
Hardware
gemma4:12b-mlx qwen2.5-coder-1.5b…
MachineMacBook ProMacBook Air
CPUApple M2 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M2 ProApple M4
OSmacOS 26.5macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:12b-mlx qwen2.5-coder-1.5b…
Tokens/sec24.758.4
First chunk610 ms234 ms
TTFT610 ms234 ms
Load time3.6 sN/A
Memory usage7.1 GB1.5 GB
Memory %45%5%
HW Fit Score Breakdown
gemma4:12b-mlx
Speed
50/50
TTFT
20/20
Memory
26/30
qwen2.5-coder-1.5b-inst…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
gemma4:12b-mlx
Reasoning
16/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
qwen2.5-coder-1.5b-inst…
Reasoning
9/20
Coding
12/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
7/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
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