google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Nov 1, 2026 · AMD RYZEN AI MAX+ 395

minimax-m2.7:cloud

OLLAMA GGUF

minimax

Not Rec.

Apr 1, 2026 · Apple M4

Global Score

80 vs 74

Hardware Fit

83 vs 34

Quality Score

79 vs 91

Hardware

google/gemma-4-e4b minimax-m2.7:cloud

MachineGMKtec EVO-X3Mac mini

CPUAMD RYZEN AI MAX+ 395Apple M4

Cores3210

RAM120 GB24 GB

GPUAMD Radeon(TM) 8060S GraphicsApple M4

OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.3

Archx64arm64

Power Modebalancedbalanced

Performance

google/gemma-4-e4b minimax-m2.7:cloud

Tokens/sec46.50.0

First chunk14 ms7588 ms

TTFT1.9 s11.4 s

Load time7.6 s0.0 s

Memory usage0.0 GB0.7 GB

Memory %0%3%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed

43/50

TTFT

10/20

Memory

30/30

minimax-m2.7:cloud

Speed

0/50

TTFT

4/20

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

minimax-m2.7:cloud

Reasoning

19/20

Coding

18/20

Instruction

15/20

Structured

14/15

Math

15/15

Multilingual

10/10

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

View google/gemma-4-e4b details | View minimax-m2.7:cloud 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