qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 4bit
Mar 3, 2026 · Apple M4
qwen3.5-27b
LM-STUDIO GGUFqwen35 · 27B · Q4_K_M
Mar 6, 2026 · Apple M4 Pro
Global Score
55 vs 26
Hardware Fit
87 vs 63
Quality Score
41 vs 10
Hardware
qwen3.5-0.8b-mlx qwen3.5-27b
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 qwen3.5-27b
Tokens/sec68.29.5
First chunk3268 ms1099 ms
TTFT3.3 s1.1 s
Load timeN/AN/A
Memory usage0.6 GB16.3 GB
Memory %2%25%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
13/20
Memory
24/30
qwen3.5-27b
Speed
13/50
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
qwen3.5-27b
Reasoning
0/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
1/15
Multilingual
7/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Adequate
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