gemma4:31b

gemma4 · 30.7B · Q4_K_M

THINKING MODEL

System manufacturer (AMD Ryzen 9 5950X 16-Core Processor)

32 GB · Microsoft Windows 11 Pro 10.0.26300

Tested on October 2, 2026 · Submitted by Qwen3.8vsGemma4

Top 75% Compare

Global Score

64 /100

Not Rec.

Hardware Fit

41/100

Quality

74/100

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Ollama

ollama pull gemma4:31b

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ollama.com/library/gemma4

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GGUF versions & quantizations

Hardware

Machine: System manufacturer
CPU: AMD Ryzen 9 5950X 16-Core Processor
Cores: 32 total (32 perf)
Frequency: 3.4 GHz
RAM: 32 GB DDR4
GPU: NVIDIA GeForce RTX 3090
OS: Microsoft Windows 11 Pro 10.0.26300
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 9.5
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.5
First chunk latency Delay before the first streamed chunk arrives from runtime: 1.8 s
Time to first token How fast the model starts responding — lower is better: 30.0 s
Load time Time to load the model into memory before inference: 33.9 s
Memory usage RAM consumed during inference — percentage of total system memory: 1.4 GB (4%)
Total tokens Total number of tokens generated across all benchmark prompts: 1460
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~720

Score breakdown

Speed

11/50

Time to first token

0/20

Memory

30/30

Quality

Reasoning

11/20

Coding

17/20

Instruction following

10/20

Structured output

15/15

Math

12/15

Multilingual

9/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.35.0
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 98dde570c79fb7d8ce673ce71d7d0f5c423ecb180cd0a1c2aaa0da786a3d1ea6

Interpretation

Hardware fit: 41/100. Overall suitability: NOT RECOMMENDED (Global 64/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Warnings

Significant swap activity during benchmark (+0.8 GB). Model may exceed available RAM — results are severely degraded.

Disqualifiers

Time to first token too high: 30000ms (maximum: 15463ms for HIGH-END profile)

Bench Environment

Swap delta: +0.8 GB CPU load: avg 56% (peak 56%)

Run yours now

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest