google/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

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

qwen3.8-27b-claude-opus-reasoning-distilled

LM-STUDIO GGUF

qwen35 · 27B · Q4_K_M

Excellent

Aug 20, 2026 · Apple M4 Max

Global Score

78 vs 80

Hardware Fit

68 vs 63

Quality Score

82 vs 87

Hardware

google/gemma-4-e4b… qwen3.8-27b-claude…

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

google/gemma-4-e4b… qwen3.8-27b-claude…

Tokens/sec11.424.0

First chunk26 ms20 ms

TTFT2.2 s4.5 s

Load time5.9 sN/A

Memory usage0.0 GB15.7 GB

Memory %0%12%

HW Fit Score Breakdown

google/gemma-4-e4b-it-qat

Speed

21/50

TTFT

17/20

Memory

30/30

qwen3.8-27b-claude-opus…

Speed

27/50

TTFT

6/20

Memory

30/30

Quality

google/gemma-4-e4b-it-qat

Reasoning

14/20

Coding

18/20

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-claude-opus…

Reasoning

19/20

Coding

18/20

Instruction

11/20

Structured

15/15

Math

14/15

Multilingual

10/10

Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

View google/gemma-4-e4b… details | View qwen3.8-27b-claude… 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