qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
gemma4:26b
OLLAMA GGUFgemma4 · 25.8B · Q4_K_M
Apr 3, 2026 · Apple M4
Global Score
80 vs 33
Hardware Fit
85 vs 50
Quality Score
78 vs 25
Hardware
qwen3:8b gemma4:26b
MachineHP HP Z8 G4 WorkstationMac mini
CPUIntel Xeon® Gold 6230Apple M4
Cores8010
RAM252 GB24 GB
GPUTU104GL [Quadro RTX 5000]Apple M4
OSUbuntu 24.04.4 LTSmacOS 26.3
Archx64arm64
Power Modelow-powerbalanced
Performance
qwen3:8b gemma4:26b
Tokens/sec65.120.0
First chunk289 ms941 ms
TTFT4.2 s30.0 s
Load time4.6 s0.2 s
Memory usage5.6 GB20.3 GB
Memory %2%85%
HW Fit Score Breakdown
qwen3:8b
Speed
50/50
TTFT
5/20
Memory
30/30
gemma4:26b
Speed
42/50
TTFT
0/20
Memory
8/30
Quality
qwen3:8b
Reasoning
17/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
gemma4:26b
Reasoning
14/20
Coding
1/20
Instruction
6/20
Structured
3/15
Math
0/15
Multilingual
1/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
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