qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 4bit
Mar 3, 2026 · Apple M4
gemma-4-26b-a4b-it@iq3_xxs
LM-STUDIO GGUFgemma4 · 26B · IQ3_XXS
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
55 vs 83
Hardware Fit
87 vs 58
Quality Score
41 vs 94
Hardware
qwen3.5-0.8b-mlx gemma-4-26b-a4b-it…
MachineMacBook AirDocker Container
CPUApple M4Intel Gen Intel® Core™ i9-11900H
Cores1016
RAM32 GB15 GB
GPUApple M4TigerLake-H GT1 [UHD Graphics]
OSmacOS 26.3Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen3.5-0.8b-mlx gemma-4-26b-a4b-it…
Tokens/sec68.210.3
First chunk3268 ms8 ms
TTFT3.3 s3.5 s
Load timeN/A10.9 s
Memory usage0.6 GB6.4 GB
Memory %2%41%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
13/20
Memory
24/30
gemma-4-26b-a4b-it@iq3_…
Speed
19/50
TTFT
12/20
Memory
27/30
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
gemma-4-26b-a4b-it@iq3_…
Reasoning
18/20
Coding
19/20
Instruction
19/20
Structured
15/15
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