qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 4bit
Mar 3, 2026 · Apple M4
qwen/qwen3-8b
LM-STUDIO MLXqwen3 · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
Global Score
55 vs 89
Hardware Fit
87 vs 95
Quality Score
41 vs 87
Hardware
qwen3.5-0.8b-mlx qwen/qwen3-8b
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5-0.8b-mlx qwen/qwen3-8b
Tokens/sec68.233.4
First chunk3268 ms257 ms
TTFT3.3 s257 ms
Load timeN/AN/A
Memory usage0.6 GB4.3 GB
Memory %2%7%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
13/20
Memory
24/30
qwen/qwen3-8b
Speed
45/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5-0.8b-mlx
Reasoning
8/20
Coding
1/20
Instruction
12/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
qwen/qwen3-8b
Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong 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