gemma-4-e2b-it-qat
LM-STUDIO GGUFgemma4 · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
qwen3.8-27b-mlx
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 17, 2026 · Apple M5 Max
Global Score
81 vs 59
Hardware Fit
90 vs 63
Quality Score
77 vs 58
Hardware
gemma-4-e2b-it-qat qwen3.8-27b-mlx
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M5 Max
Cores1618
RAM15 GB64 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M5 Max
OSUbuntu 26.04 LTSmacOS 27.0
Archx64arm64
Power Modeperformancebalanced
Performance
gemma-4-e2b-it-qat qwen3.8-27b-mlx
Tokens/sec22.218.3
First chunk67 ms4 ms
TTFT1.1 s530 ms
Load time5.4 sN/A
Memory usage0.0 GB38.5 GB
Memory %0%60%
HW Fit Score Breakdown
gemma-4-e2b-it-qat
Speed
40/50
TTFT
20/20
Memory
30/30
qwen3.8-27b-mlx
Speed
23/50
TTFT
20/20
Memory
20/30
Quality
gemma-4-e2b-it-qat
Reasoning
10/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
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
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