qwen3.8-27b-mlx
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 17, 2026 · Apple M5 Max
google/gemma-4-26b-a4b-it-qat
LM-STUDIO GGUFgemma4 · 26B · Q4_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
59 vs 82
Hardware Fit
63 vs 56
Quality Score
58 vs 93
Hardware
qwen3.8-27b-mlx google/gemma-4-26b…
MachineMacBook ProDocker Container
CPUApple M5 MaxIntel Gen Intel® Core™ i9-11900H
Cores1816
RAM64 GB15 GB
GPUApple M5 MaxTigerLake-H GT1 [UHD Graphics]
OSmacOS 27.0Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen3.8-27b-mlx google/gemma-4-26b…
Tokens/sec18.312.0
First chunk4 ms86 ms
TTFT530 ms2.8 s
Load timeN/A57.2 s
Memory usage38.5 GB9.1 GB
Memory %60%59%
HW Fit Score Breakdown
qwen3.8-27b-mlx
Speed
23/50
TTFT
20/20
Memory
20/30
google/gemma-4-26b-a4b-…
Speed
22/50
TTFT
14/20
Memory
20/30
Quality
qwen3.8-27b-mlx
Reasoning
19/20
Coding
14/20
Instruction
6/20
Structured
1/15
Math
13/15
Multilingual
5/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
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