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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-a3b-thinking-2507-claude-4.5-sonnet-high-reasoning-distill-mlx

LM-STUDIO MLX

qwen3_moe · 30B · MXFP4

Excellent

Apr 22, 2026 · Apple M2 Max

Global Score
77 vs 95
Hardware Fit
100 vs 94
Quality Score
67 vs 96

Hardware

mlx-community/meta… qwen3-30b-a3b-thin…
MachineMac miniMac Studio
CPUApple M4 ProApple M2 Max
Cores1412
RAM64 GB96 GB
GPUApple M4 ProApple M2 Max
OSmacOS 15.7.4macOS 26.1
Archarm64arm64
Power Modebalancedbalanced

Performance

mlx-community/meta… qwen3-30b-a3b-thin…
Tokens/sec54.380.4
First chunk277 ms46 ms
TTFT277 ms1.8 s
Load timeN/AN/A
Memory usage4.2 GB21.2 GB
Memory %7%22%

HW Fit Score Breakdown

mlx-community/meta-llam…

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/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-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
View mlx-community/meta… details | View qwen3-30b-a3b-thin… 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