google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score

83 vs 71

Hardware Fit

96 vs 86

Quality Score

78 vs 65

Hardware

google/gemma-4-e4b mistral-nemo:12b

MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHMacBook Air

CPUAMD Ryzen 9 8940HXApple M4

Cores3210

RAM15 GB32 GB

GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MApple M4

OSMicrosoft Windows 11 Home Single Language 10.0.26200macOS 26.3

Archx64arm64

Power Modebalancedbalanced

Performance

google/gemma-4-e4b mistral-nemo:12b

Tokens/sec35.914.6

First chunk9 msN/A

TTFT182 ms371 ms

Load timeN/A1.0 s

Memory usage6.5 GB13.3 GB

Memory %43%42%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed

49/50

TTFT

20/20

Memory

27/30

mistral-nemo:12b

Speed

26/50

TTFT

30/20

Memory

30/30

Quality

google/gemma-4-e4b

Reasoning

14/20

Coding

18/20

Instruction

15/20

Structured

15/15

Math

6/15

Multilingual

10/10

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

mistral-nemo:12b

Reasoning

12/20

Coding

13/20

Instruction

11/20

Structured

15/15

Math

4/15

Multilingual

10/10

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

View google/gemma-4-e4b details | View mistral-nemo:12b 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