gemma-4-31b-it-mlx

LM-STUDIO MLX

gemma4 · 31B · 8bit

Excellent

Aug 19, 2026 · Apple M4 Max

prism-ml/bonsai-27b

LM-STUDIO GGUF

qwen35 · 27B · Q1_0

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score

85 vs 81

Hardware Fit

64 vs 95

Quality Score

94 vs 75

Hardware

gemma-4-31b-it-mlx prism-ml/bonsai-27b

MachineMacBook ProASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH

CPUApple M4 MaxAMD Ryzen 9 8940HX

Cores1632

RAM128 GB15 GB

GPUApple M4 MaxNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M

OSmacOS 26.5.2Microsoft Windows 11 Home Single Language 10.0.26200

Archarm64x64

Power Modebalancedbalanced

Performance

gemma-4-31b-it-mlx prism-ml/bonsai-27b

Tokens/sec13.633.6

First chunk16 ms20 ms

TTFT558 ms409 ms

Load time12.3 sN/A

Memory usage0.0 GB5.3 GB

Memory %0%35%

HW Fit Score Breakdown

gemma-4-31b-it-mlx

Speed

14/50

TTFT

20/20

Memory

30/30

prism-ml/bonsai-27b

Speed

46/50

TTFT

20/20

Memory

29/30

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

prism-ml/bonsai-27b

Reasoning

17/20

Coding

13/20

Instruction

13/20

Structured

15/15

Math

8/15

Multilingual

9/10

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

View gemma-4-31b-it-mlx details | View prism-ml/bonsai-27b 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