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mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen3:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

Global Score
77 vs 86
Hardware Fit
100 vs 98
Quality Score
67 vs 81

Hardware

mlx-community/meta… qwen3:30b
MachineMac miniASUS
CPUApple M4 ProIntel Core™ Ultra 9 285K
Cores1424
RAM64 GB47 GB
GPUApple M4 ProNVIDIA GeForce RTX 5090, Intel(R) Graphics
OSmacOS 15.7.4Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

mlx-community/meta… qwen3:30b
Tokens/sec54.3204.8
First chunk277 ms96 ms
TTFT277 ms674 ms
Load timeN/A5.2 s
Memory usage4.2 GB20.5 GB
Memory %7%43%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed
50/50
TTFT
20/20
Memory
30/30

qwen3:30b

Speed
50/50
TTFT
20/20
Memory
28/30

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

qwen3:30b

Reasoning
16/20
Coding
12/20
Instruction
17/20
Structured
12/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View mlx-community/meta… details | View qwen3:30b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest