qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 4bit
Mar 6, 2026 · Apple M4 Pro
qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
Global Score
53 vs 36
Hardware Fit
89 vs 100
Quality Score
38 vs 8
Hardware
qwen3.5-0.8b-mlx qwen36-distill-apex
MachineMac miniMacBook Pro
CPUApple M4 ProApple M5 Max
Cores1418
RAM64 GB64 GB
GPUApple M4 ProApple M5 Max
OSmacOS 15.7.4macOS 27.0
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5-0.8b-mlx qwen36-distill-apex
Tokens/sec52.955.2
First chunk4013 ms210 ms
TTFT4.0 s210 ms
Load timeN/A4.8 s
Memory usage0.6 GB0.9 GB
Memory %1%2%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
9/20
Memory
30/30
qwen36-distill-apex
Speed
50/50
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
qwen36-distill-apex
Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
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