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qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score
53 vs 80
Hardware Fit
89 vs 85
Quality Score
38 vs 78

Hardware

qwen3.5-0.8b-mlx qwen3:8b
MachineMac miniHP HP Z8 G4 Workstation
CPUApple M4 ProIntel Xeon® Gold 6230
Cores1480
RAM64 GB252 GB
GPUApple M4 ProTU104GL [Quadro RTX 5000]
OSmacOS 15.7.4Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

qwen3.5-0.8b-mlx qwen3:8b
Tokens/sec52.965.1
First chunk4013 ms289 ms
TTFT4.0 s4.2 s
Load timeN/A4.6 s
Memory usage0.6 GB5.6 GB
Memory %1%2%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

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

qwen3:8b

Speed
50/50
TTFT
5/20
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

qwen3:8b

Reasoning
17/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3.5-0.8b-mlx details | View qwen3:8b 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