Back to leaderboard

gemma-4-31b-it-mlx

LM-STUDIO MLX

gemma4 · 31B · 8bit

Excellent

Aug 19, 2026 · Apple M4 Max

google/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
85 vs 78
Hardware Fit
64 vs 68
Quality Score
94 vs 82

Hardware

gemma-4-31b-it-mlx google/gemma-4-e4b…
MachineMacBook ProDocker Container
CPUApple M4 MaxIntel Gen Intel® Core™ i9-11900H
Cores1616
RAM128 GB15 GB
GPUApple M4 MaxTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.5.2Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

gemma-4-31b-it-mlx google/gemma-4-e4b…
Tokens/sec13.611.4
First chunk16 ms26 ms
TTFT558 ms2.2 s
Load time12.3 s5.9 s
Memory usage0.0 GB0.0 GB
Memory %0%0%

HW Fit Score Breakdown

gemma-4-31b-it-mlx

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

google/gemma-4-e4b-it-qat

Speed
21/50
TTFT
17/20
Memory
30/30

Quality

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

google/gemma-4-e4b-it-qat

Reasoning
14/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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