mlx-community/gemma-3-4b-it-qat-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
Global Score
80 vs 36
Hardware Fit
100 vs 100
Quality Score
71 vs 8
Hardware
mlx-community/gemm… qwen36-distill-apex
MachineMacBook AirMacBook Pro
CPUApple M4Apple M5 Max
Cores1018
RAM32 GB64 GB
GPUApple M4Apple M5 Max
OSmacOS 26.3macOS 27.0
Archarm64arm64
Power Modebalancedbalanced
Performance
mlx-community/gemm… qwen36-distill-apex
Tokens/sec43.255.2
First chunk428 ms210 ms
TTFT428 ms210 ms
Load timeN/A4.8 s
Memory usage1.3 GB0.9 GB
Memory %4%2%
HW Fit Score Breakdown
mlx-community/gemma-3-4…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
mlx-community/gemma-3-4…
Reasoning
9/20
Coding
17/20
Instruction
17/20
Structured
13/15
Math
5/15
Multilingual
10/10
Reasoning: Weak Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
qwen36-distill-apex
Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
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