qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 4bit
Mar 6, 2026 · Apple M4 Pro
qwen2.5:1.5b
OLLAMA GGUFqwen2 · 1.5B · Q4_K_M
Mar 16, 2026 · Intel Core™ i7-4771
Global Score
53 vs 65
Hardware Fit
89 vs 92
Quality Score
38 vs 54
Hardware
qwen3.5-0.8b-mlx qwen2.5:1.5b
MachineMac miniiMac
CPUApple M4 ProIntel Core™ i7-4771
Cores148
RAM64 GB32 GB
GPUApple M4 ProNVIDIA GeForce GTX 780M
OSmacOS 15.7.4macOS 15.7.3
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.5-0.8b-mlx qwen2.5:1.5b
Tokens/sec52.919.6
First chunk4013 ms690 ms
TTFT4.0 s690 ms
Load timeN/A21.4 s
Memory usage0.6 GB1.0 GB
Memory %1%3%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
9/20
Memory
30/30
qwen2.5:1.5b
Speed
42/50
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
qwen2.5:1.5b
Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak 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