mlx-community/Llama-3.2-3B-Instruct-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
qwen/qwen3-30b-a3b-2507
LM-STUDIO MLXqwen3_moe · 30B · 4bit
Mar 4, 2026 · Apple M4
Global Score
74 vs 94
Hardware Fit
100 vs 100
Quality Score
63 vs 91
Hardware
mlx-community/Llam… qwen/qwen3-30b-a3b…
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
mlx-community/Llam… qwen/qwen3-30b-a3b…
Tokens/sec50.644.8
First chunk257 ms405 ms
TTFT257 ms405 ms
Load timeN/AN/A
Memory usage0.7 GB16.0 GB
Memory %2%50%
HW Fit Score Breakdown
mlx-community/Llama-3.2…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen/qwen3-30b-a3b-2507
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
mlx-community/Llama-3.2…
Reasoning
9/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
qwen/qwen3-30b-a3b-2507
Reasoning
17/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong 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