google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Oct 31, 2026 · AMD RYZEN AI MAX+ 395

mistralai/magistral-small-2509

LM-STUDIO MLX

mistral3 · 24B · 4bit

Good

Mar 4, 2026 · Apple M4

Global Score

81 vs 74

Hardware Fit

84 vs 66

Quality Score

79 vs 78

Hardware

google/gemma-4-e4b mistralai/magistra…

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 mistralai/magistra…

Tokens/sec47.37.9

First chunk23 ms1356 ms

TTFT1.9 s1.4 s

Load timeN/AN/A

Memory usage13.2 GB13.2 GB

Memory %11%41%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed

44/50

TTFT

10/20

Memory

30/30

mistralai/magistral-sma…

Speed

16/50

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

mistralai/magistral-sma…

Reasoning

14/20

Coding

18/20

Instruction

14/20

Structured

15/15

Math

7/15

Multilingual

10/10

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

View google/gemma-4-e4b details | View mistralai/magistra… 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