gemma-4-e4b-it@q5_k_xl
LM-STUDIO GGUFgemma4 · Q5_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
qwen3-4b-qwen3.6-plus-reasoning-distilled
LM-STUDIO GGUFqwen3 · 4B · Q4_1
Apr 21, 2026 · Apple M2 Max
Global Score
77 vs 65
Hardware Fit
59 vs 96
Quality Score
84 vs 51
Hardware
gemma-4-e4b-it@q5_… qwen3-4b-qwen3.6-p…
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-e4b-it@q5_… qwen3-4b-qwen3.6-p…
Tokens/sec9.399.6
First chunk51 ms18 ms
TTFT3.4 s1.6 s
Load time12.2 s4.8 s
Memory usage0.0 GB0.3 GB
Memory %0%0%
HW Fit Score Breakdown
gemma-4-e4b-it@q5_k_xl
Speed
17/50
TTFT
12/20
Memory
30/30
qwen3-4b-qwen3.6-plus-r…
Speed
50/50
TTFT
16/20
Memory
30/30
Quality
gemma-4-e4b-it@q5_k_xl
Reasoning
15/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
qwen3-4b-qwen3.6-plus-r…
Reasoning
8/20
Coding
4/20
Instruction
14/20
Structured
9/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest