gemma4:31b
OLLAMA GGUFgemma4 · 30.7B · Q4_K_M
Oct 2, 2026 · AMD Ryzen 9 5950X 16-Core Processor
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 26, 2026 · Apple M1 Pro
Global Score
64 vs 66
Hardware Fit
41 vs 100
Quality Score
74 vs 52
Hardware
gemma4:31b hf.co/empero-ai/Qw…
MachineSystem manufacturerMacBook Pro
CPUAMD Ryzen 9 5950X 16-Core ProcessorApple M1 Pro
Cores3210
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 3090Apple M1 Pro
OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
gemma4:31b hf.co/empero-ai/Qw…
Tokens/sec9.540.2
First chunk1751 ms101 ms
TTFT30.0 s101 ms
Load time33.9 s2.6 s
Memory usage1.4 GB4.7 GB
Memory %4%30%
HW Fit Score Breakdown
gemma4:31b
Speed
11/50
TTFT
0/20
Memory
30/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
gemma4:31b
Reasoning
11/20
Coding
17/20
Instruction
10/20
Structured
15/15
Math
12/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
hf.co/empero-ai/Qwen3.8…
Reasoning
15/20
Coding
9/20
Instruction
8/20
Structured
1/15
Math
15/15
Multilingual
4/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest