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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

gemma-4-31b-it-mlx

LM-STUDIO MLX

gemma4 · 31B · 8bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
83 vs 85
Hardware Fit
96 vs 64
Quality Score
78 vs 94

Hardware

google/gemma-4-e4b gemma-4-31b-it-mlx
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHMacBook Pro
CPUAMD Ryzen 9 8940HXApple M4 Max
Cores3216
RAM15 GB128 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MApple M4 Max
OSMicrosoft Windows 11 Home Single Language 10.0.26200macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b gemma-4-31b-it-mlx
Tokens/sec35.913.6
First chunk9 ms16 ms
TTFT182 ms558 ms
Load timeN/A12.3 s
Memory usage6.5 GB0.0 GB
Memory %43%0%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

gemma-4-31b-it-mlx

Speed
14/50
TTFT
20/20
Memory
30/30

Quality

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

gemma-4-31b-it-mlx

Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View google/gemma-4-e4b details | View gemma-4-31b-it-mlx 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