google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Oct 31, 2026 · AMD RYZEN AI MAX+ 395

qwen2.5-coder-3b-instruct-mlx

LM-STUDIO MLX

qwen2 · 3B · 4bit

Good

Mar 4, 2026 · Apple M4

Global Score

81 vs 73

Hardware Fit

84 vs 100

Quality Score

79 vs 61

Hardware

google/gemma-4-e4b qwen2.5-coder-3b-i…

MachineGMKtec EVO-X3MacBook Air

CPUAMD RYZEN AI MAX+ 395Apple M4

Cores3210

RAM120 GB32 GB

GPUAMD Radeon(TM) 8060S GraphicsApple M4

OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.3

Archx64arm64

Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen2.5-coder-3b-i…

Tokens/sec47.352.3

First chunk23 ms285 ms

TTFT1.9 s285 ms

Load timeN/AN/A

Memory usage13.2 GB1.6 GB

Memory %11%5%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed

44/50

TTFT

10/20

Memory

30/30

qwen2.5-coder-3b-instru…

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

google/gemma-4-e4b

Reasoning

14/20

Coding

18/20

Instruction

15/20

Structured

15/15

Math

7/15

Multilingual

10/10

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

qwen2.5-coder-3b-instru…

Reasoning

7/20

Coding

14/20

Instruction

13/20

Structured

14/15

Math

4/15

Multilingual

9/10

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

View google/gemma-4-e4b details | View qwen2.5-coder-3b-i… 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