qwen3.5-2b-mlx
LM-STUDIO MLXqwen3_5 · 2B · 8bit
Mar 3, 2026 · Apple M4
google/gemma-4-26b-a4b-it-qat
LM-STUDIO GGUFgemma4 · 26B · Q4_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
70 vs 82
Hardware Fit
93 vs 56
Quality Score
60 vs 93
Hardware
qwen3.5-2b-mlx google/gemma-4-26b…
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
qwen3.5-2b-mlx google/gemma-4-26b…
Tokens/sec32.912.0
First chunk3096 ms86 ms
TTFT3.1 s2.8 s
Load timeN/A57.2 s
Memory usage2.5 GB9.1 GB
Memory %8%59%
HW Fit Score Breakdown
qwen3.5-2b-mlx
Speed
50/50
TTFT
13/20
Memory
30/30
google/gemma-4-26b-a4b-…
Speed
22/50
TTFT
14/20
Memory
20/30
Quality
qwen3.5-2b-mlx
Reasoning
11/20
Coding
9/20
Instruction
14/20
Structured
14/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor 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