Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

gemma-4-31b-it-mlx

LM-STUDIO MLX

gemma4 · 31B · 8bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
62 vs 85
Hardware Fit
77 vs 64
Quality Score
55 vs 94

Hardware

google/gemma-4-e4b gemma-4-31b-it-mlx
MachineLENOVO 82JQMacBook Pro
CPUAMD Ryzen 7 5800HApple M4 Max
Cores1616
RAM16 GB128 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUApple M4 Max
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b gemma-4-31b-it-mlx
Tokens/sec27.613.6
First chunk23 ms16 ms
TTFT480 ms558 ms
Load timeN/A12.3 s
Memory usage13.2 GB0.0 GB
Memory %83%0%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
48/50
TTFT
20/20
Memory
9/30

gemma-4-31b-it-mlx

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

Quality

google/gemma-4-e4b

Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

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

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