qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 4bit
Mar 3, 2026 · Apple M4
gemma3n:latest
OLLAMA GGUFgemma3n · 6.9B · Q4_K_M
Mar 6, 2026 · AMD EPYC 9654P 96-Core Processor
Global Score
55 vs 81
Hardware Fit
87 vs 100
Quality Score
41 vs 73
Hardware
qwen3.5-0.8b-mlx gemma3n:latest
MachineMacBook AirSupermicro AS -2015HS-TNR
CPUApple M4AMD EPYC 9654P 96-Core Processor
Cores1064
RAM32 GB128 GB
GPUApple M4GH100 [H100L 94GB], ASPEED Graphics Family, GH100 [H100L 94GB]
OSmacOS 26.3Ubuntu 24.04.3 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen3.5-0.8b-mlx gemma3n:latest
Tokens/sec68.2108.7
First chunk3268 ms333 ms
TTFT3.3 s333 ms
Load timeN/A4.5 s
Memory usage0.6 GB8.6 GB
Memory %2%7%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
13/20
Memory
24/30
gemma3n:latest
Speed
50/50
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
gemma3n:latest
Reasoning
14/20
Coding
14/20
Instruction
14/20
Structured
14/15
Math
7/15
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