qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 4bit
Mar 6, 2026 · Apple M4 Pro
google/gemma-4-26b-a4b-it-qat
LM-STUDIO GGUFgemma4 · 26B · Q4_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
53 vs 82
Hardware Fit
89 vs 56
Quality Score
38 vs 93
Hardware
qwen3.5-0.8b-mlx google/gemma-4-26b…
MachineMac miniDocker Container
CPUApple M4 ProIntel Gen Intel® Core™ i9-11900H
Cores1416
RAM64 GB15 GB
GPUApple M4 ProTigerLake-H GT1 [UHD Graphics]
OSmacOS 15.7.4Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen3.5-0.8b-mlx google/gemma-4-26b…
Tokens/sec52.912.0
First chunk4013 ms86 ms
TTFT4.0 s2.8 s
Load timeN/A57.2 s
Memory usage0.6 GB9.1 GB
Memory %1%59%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
9/20
Memory
30/30
google/gemma-4-26b-a4b-…
Speed
22/50
TTFT
14/20
Memory
20/30
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
google/gemma-4-26b-a4b-…
Reasoning
17/20
Coding
19/20
Instruction
20/20
Structured
14/15
Math
13/15
Multilingual
10/10
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