mlx-community/meta-llama-3.1-8b-instruct
LM-STUDIO MLXllama · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
qwen3-coder:30b
OLLAMA GGUFqwen3moe · 30.5B · Q4_K_M
Mar 4, 2026 · Intel Gen Intel® Core™ i7-12700K
Global Score
77 vs 80
Hardware Fit
100 vs 60
Quality Score
67 vs 88
Hardware
mlx-community/meta… qwen3-coder:30b
MachineMac miniASUS
CPUApple M4 ProIntel Gen Intel® Core™ i7-12700K
Cores1420
RAM64 GB96 GB
GPUApple M4 ProParsec Virtual Display Adapter, NVIDIA GeForce RTX 2060
OSmacOS 15.7.4Microsoft Windows 11 Enterprise 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
mlx-community/meta… qwen3-coder:30b
Tokens/sec54.314.7
First chunk277 ms796 ms
TTFT277 ms796 ms
Load timeN/A0.2 s
Memory usage4.2 GB17.9 GB
Memory %7%19%
HW Fit Score Breakdown
mlx-community/meta-llam…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3-coder:30b
Speed
14/50
TTFT
19/20
Memory
27/30
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
Reasoning
17/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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