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gemma-4-e4b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
77 vs 83
Hardware Fit
59 vs 68
Quality Score
84 vs 90

Hardware

gemma-4-e4b-it@q5_… qwen/qwen3.8-27b
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M4 Max
Cores1616
RAM15 GB128 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4 Max
OSUbuntu 26.04 LTSmacOS 26.5.2
Archx64arm64
Power Modeperformancebalanced

Performance

gemma-4-e4b-it@q5_… qwen/qwen3.8-27b
Tokens/sec9.327.6
First chunk51 ms10 ms
TTFT3.4 s4.6 s
Load time12.2 sN/A
Memory usage0.0 GB21.0 GB
Memory %0%16%

HW Fit Score Breakdown

gemma-4-e4b-it@q5_k_xl

Speed
17/50
TTFT
12/20
Memory
30/30

qwen/qwen3.8-27b

Speed
32/50
TTFT
6/20
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

qwen/qwen3.8-27b

Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View gemma-4-e4b-it@q5_… details | View qwen/qwen3.8-27b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest