qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 8bit
Mar 3, 2026 · Apple M4
qwen2.5:1.5b
OLLAMA GGUFqwen2 · 1.5B · Q4_K_M
Mar 16, 2026 · Intel Core™ i7-4771
Global Score
60 vs 65
Hardware Fit
96 vs 92
Quality Score
44 vs 54
Hardware
qwen3.5-0.8b-mlx qwen2.5:1.5b
MachineMacBook AiriMac
CPUApple M4Intel Core™ i7-4771
Cores108
RAM32 GB32 GB
GPUApple M4NVIDIA GeForce GTX 780M
OSmacOS 26.3macOS 15.7.3
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.5-0.8b-mlx qwen2.5:1.5b
Tokens/sec108.019.6
First chunk2568 ms690 ms
TTFT2.6 s690 ms
Load timeN/A21.4 s
Memory usage1.0 GB1.0 GB
Memory %3%3%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
16/20
Memory
30/30
qwen2.5:1.5b
Speed
42/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5-0.8b-mlx
Reasoning
10/20
Coding
3/20
Instruction
11/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong 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