gemma-4-e2b-it-qat
LM-STUDIO GGUFgemma4 · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
qwen3.6-35b-a3b
LM-STUDIO GGUFqwen35moe · 35B · Q4_K_S
Apr 20, 2026 · Apple M2 Max
Global Score
81 vs 82
Hardware Fit
90 vs 80
Quality Score
77 vs 83
Hardware
gemma-4-e2b-it-qat qwen3.6-35b-a3b
MachineDocker ContainerMac Studio
CPUIntel Gen Intel® Core™ i9-11900HApple M2 Max
Cores1612
RAM15 GB96 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M2 Max
OSUbuntu 26.04 LTSmacOS 26.1
Archx64arm64
Power Modeperformancebalanced
Performance
gemma-4-e2b-it-qat qwen3.6-35b-a3b
Tokens/sec22.254.7
First chunk67 ms32 ms
TTFT1.1 s30.0 s
Load time5.4 sN/A
Memory usage0.0 GB30.3 GB
Memory %0%32%
HW Fit Score Breakdown
gemma-4-e2b-it-qat
Speed
40/50
TTFT
20/20
Memory
30/30
qwen3.6-35b-a3b
Speed
50/50
TTFT
0/20
Memory
30/30
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
qwen3.6-35b-a3b
Reasoning
18/20
Coding
10/20
Instruction
18/20
Structured
14/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Weak 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