google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

mistral:latest

OLLAMA GGUF

llama · 7.2B · Q4_0

Good

Feb 28, 2026 · Apple M4 Pro

Global Score

59 vs 72

Hardware Fit

62 vs 100

Quality Score

58 vs 60

Hardware

google/gemma-4-e4b mistral:latest

MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMMac Mini

CPUAMD Ryzen 7 4800HApple M4 Pro

Cores1614

RAM15 GB64 GB

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

OSMicrosoft Windows 11 Pro 10.0.26200macOS 15.7.4

Archx64arm64

Power Modebalancedunknown

Performance

google/gemma-4-e4b mistral:latest

Tokens/sec7.154.3

First chunk41 msN/A

TTFT1.2 s124 ms

Load time71.7 s0.0 s

Memory usage0.9 GB9.9 GB

Memory %6%15%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed

12/50

TTFT

20/20

Memory

30/30

mistral:latest

Speed

40/50

TTFT

30/20

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

mistral:latest

Reasoning

8/20

Coding

15/20

Instruction

13/20

Structured

12/15

Math

3/15

Multilingual

9/10

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

View google/gemma-4-e4b details | View mistral:latest 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