qwen3.5:4b-mlx
OLLAMA GGUFnvfp4
Aug 24, 2026 · Apple M2
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
82 vs 56
Quality Score
41 vs 93
Hardware
qwen3.5:4b-mlx google/gemma-4-26b…
MachineMac miniDocker Container
CPUApple M2Intel Gen Intel® Core™ i9-11900H
Cores816
RAM8 GB15 GB
GPUApple M2TigerLake-H GT1 [UHD Graphics]
OSmacOS 26.5.2Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen3.5:4b-mlx google/gemma-4-26b…
Tokens/sec24.712.0
First chunk302 ms86 ms
TTFT7.4 s2.8 s
Load time3.2 s57.2 s
Memory usage3.8 GB9.1 GB
Memory %47%59%
HW Fit Score Breakdown
qwen3.5:4b-mlx
Speed
50/50
TTFT
6/20
Memory
26/30
google/gemma-4-26b-a4b-…
Speed
22/50
TTFT
14/20
Memory
20/30
Quality
qwen3.5:4b-mlx
Reasoning
13/20
Coding
2/20
Instruction
4/20
Structured
4/15
Math
10/15
Multilingual
8/10
Reasoning: Adequate Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Adequate Multilingual: Strong
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