qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 4bit
Mar 3, 2026 · Apple M4
aya-expanse:8b
OLLAMA GGUFcommand-r · 8.0B · Q4_K_M
Mar 6, 2026 · Apple M4
Global Score
55 vs 72
Hardware Fit
87 vs 89
Quality Score
41 vs 65
Hardware
qwen3.5-0.8b-mlx aya-expanse:8b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5-0.8b-mlx aya-expanse:8b
Tokens/sec68.219.7
First chunk3268 ms350 ms
TTFT3.3 s350 ms
Load timeN/A0.9 s
Memory usage0.6 GB6.2 GB
Memory %2%20%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
13/20
Memory
24/30
aya-expanse:8b
Speed
39/50
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
aya-expanse:8b
Reasoning
10/20
Coding
13/20
Instruction
14/20
Structured
14/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak 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