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qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

Qwen3-30B:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Aug 19, 2026 · Intel Core™ Ultra X7 358H

Global Score
53 vs 88
Hardware Fit
89 vs 90
Quality Score
38 vs 87

Hardware

qwen3.5-0.8b-mlx Qwen3-30B:30b
MachineMac miniGMKtec NucBox EVO-T2S
CPUApple M4 ProIntel Core™ Ultra X7 358H
Cores1416
RAM64 GB64 GB
GPUApple M4 ProIntel(R) Arc(TM) B390 GPU
OSmacOS 15.7.4Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5-0.8b-mlx Qwen3-30B:30b
Tokens/sec52.931.0
First chunk4013 ms549 ms
TTFT4.0 s549 ms
Load timeN/A14.3 s
Memory usage0.6 GB17.7 GB
Memory %1%28%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
9/20
Memory
30/30

Qwen3-30B:30b

Speed
40/50
TTFT
20/20
Memory
30/30

Quality

qwen3.5-0.8b-mlx

Reasoning
7/20
Coding
2/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate

Qwen3-30B:30b

Reasoning
16/20
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: Strong Multilingual: Strong
View qwen3.5-0.8b-mlx details | View Qwen3-30B: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