qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 4bit
Mar 6, 2026 · Apple M4 Pro
Gemma4-31B:31B
OLLAMA GGUFgemma4 · 31.3B · Q4_K_M
Aug 18, 2026 · Intel Core™ Ultra X7 358H
Global Score
53 vs 76
Hardware Fit
89 vs 45
Quality Score
38 vs 89
Hardware
qwen3.5-0.8b-mlx Gemma4-31B:31B
MachineMac miniGMKtec NucBox EVO-T2S
CPUApple M4 ProIntel Core™ Ultra X7 358H
Cores1416
RAM64 GB64 GB
GPUApple M4 ProIntel(R) Arc(TM) B390 GPU
OSmacOS 15.7.4Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.5-0.8b-mlx Gemma4-31B:31B
Tokens/sec52.93.8
First chunk4013 ms3536 ms
TTFT4.0 s3.5 s
Load timeN/A19.6 s
Memory usage0.6 GB19.9 GB
Memory %1%31%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
9/20
Memory
30/30
Gemma4-31B:31B
Speed
5/50
TTFT
10/20
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
Gemma4-31B:31B
Reasoning
18/20
Coding
19/20
Instruction
15/20
Structured
14/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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