mlx-community/meta-llama-3.1-8b-instruct
LM-STUDIO MLXllama · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
qwen3-coder-30b-a3b-instruct-mlx
LM-STUDIO MLXqwen3_moe · 30B · 4bit
Oct 20, 2026 · Apple M1 Pro
Global Score
77 vs 87
Hardware Fit
100 vs 85
Quality Score
67 vs 88
Hardware
mlx-community/meta… qwen3-coder-30b-a3…
MachineMac miniMacBook Pro
CPUApple M4 ProApple M1 Pro
Cores1410
RAM64 GB32 GB
GPUApple M4 ProApple M1 Pro
OSmacOS 15.7.4macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
mlx-community/meta… qwen3-coder-30b-a3…
Tokens/sec54.345.7
First chunk277 ms17 ms
TTFT277 ms390 ms
Load timeN/AN/A
Memory usage4.2 GB22.4 GB
Memory %7%70%
HW Fit Score Breakdown
mlx-community/meta-llam…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3-coder-30b-a3b-ins…
Speed
50/50
TTFT
20/20
Memory
15/30
Quality
mlx-community/meta-llam…
Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
qwen3-coder-30b-a3b-ins…
Reasoning
15/20
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
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