mlx-community/Llama-3.2-1B-Instruct-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
qwen3-30b-a3b-thinking-2507-claude-4.5-sonnet-high-reasoning-distill-mlx
LM-STUDIO MLXqwen3_moe · 30B · MXFP4
Apr 22, 2026 · Apple M2 Max
Global Score
57 vs 95
Hardware Fit
100 vs 94
Quality Score
39 vs 96
Hardware
mlx-community/Llam… qwen3-30b-a3b-thin…
MachineMacBook AirMac Studio
CPUApple M4Apple M2 Max
Cores1012
RAM32 GB96 GB
GPUApple M4Apple M2 Max
OSmacOS 26.3macOS 26.1
Archarm64arm64
Power Modebalancedbalanced
Performance
mlx-community/Llam… qwen3-30b-a3b-thin…
Tokens/sec126.480.4
First chunk139 ms46 ms
TTFT139 ms1.8 s
Load timeN/AN/A
Memory usage0.3 GB21.2 GB
Memory %1%22%
HW Fit Score Breakdown
mlx-community/Llama-3.2…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3-30b-a3b-thinking-…
Speed
50/50
TTFT
14/20
Memory
30/30
Quality
mlx-community/Llama-3.2…
Reasoning
5/20
Coding
3/20
Instruction
15/20
Structured
10/15
Math
1/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Strong Structured Output: Adequate Math: Poor Multilingual: Adequate
qwen3-30b-a3b-thinking-…
Reasoning
19/20
Coding
18/20
Instruction
19/20
Structured
15/15
Math
15/15
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