Back to leaderboard

gemma-4-31b-it-qat

LM-STUDIO GGUF

gemma4 · 31B · Q4_K_XL

Excellent

Jul 7, 2026 · AMD Ryzen 7 7800X3D 8-Core Processor

ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Aug 25, 2026 · Apple M1 Pro

Global Score
91 vs 72
Hardware Fit
89 vs 71
Quality Score
92 vs 72

Hardware

gemma-4-31b-it-qat ministral-3:8b
MachineASUSMacBook Pro
CPUAMD Ryzen 7 7800X3D 8-Core ProcessorApple M1 Pro
Cores1610
RAM31 GB16 GB
GPUNVIDIA GeForce RTX 4090, RaphaelApple M1 Pro
OScachyos rollingmacOS 26.6.2
Archx64arm64
Power Modelow-powerbalanced

Performance

gemma-4-31b-it-qat ministral-3:8b
Tokens/sec40.219.8
First chunk3 ms269 ms
TTFT302 ms269 ms
Load timeN/A10.7 s
Memory usage18.8 GB13.7 GB
Memory %62%86%

HW Fit Score Breakdown

gemma-4-31b-it-qat

Speed
50/50
TTFT
20/20
Memory
19/30

ministral-3:8b

Speed
44/50
TTFT
20/20
Memory
7/30

Quality

gemma-4-31b-it-qat

Reasoning
19/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

ministral-3:8b

Reasoning
12/20
Coding
18/20
Instruction
13/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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