google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

qwen3.5-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score

59 vs 75

Hardware Fit

62 vs 54

Quality Score

58 vs 84

Hardware

google/gemma-4-e4b qwen3.5-27b

MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMMacBook Air

CPUAMD Ryzen 7 4800HApple M4

Cores1610

RAM15 GB32 GB

GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUApple M4

OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.3

Archx64arm64

Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3.5-27b

Tokens/sec7.16.6

First chunk41 ms4364 ms

TTFT1.2 s4.4 s

Load time71.7 sN/A

Memory usage0.9 GB15.0 GB

Memory %6%47%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed

12/50

TTFT

20/20

Memory

30/30

qwen3.5-27b

Speed

13/50

TTFT

11/20

Memory

30/30

Quality

google/gemma-4-e4b

Reasoning

6/20

Coding

14/20

Instruction

12/20

Structured

15/15

Math

3/15

Multilingual

8/10

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

qwen3.5-27b

Reasoning

17/20

Coding

18/20

Instruction

11/20

Structured

15/15

Math

13/15

Multilingual

10/10

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

View google/gemma-4-e4b details | View qwen3.5-27b 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