qwen3-vl:30b
OLLAMA GGUFqwen3vlmoe · 31.1B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
gemma4:26b
OLLAMA GGUFgemma4 · 25.8B · Q4_K_M
Apr 3, 2026 · Apple M4
Global Score
80 vs 85
Hardware Fit
98 vs 77
Quality Score
72 vs 89
Hardware
qwen3-vl:30b gemma4:26b
MachineASUSMac mini
CPUIntel Core™ Ultra 9 285KApple M4
Cores2410
RAM47 GB24 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsApple M4
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3-vl:30b gemma4:26b
Tokens/sec208.924.5
First chunk102 ms1481 ms
TTFT684 ms1.5 s
Load time0.1 s24.7 s
Memory usage22.0 GB20.3 GB
Memory %47%85%
HW Fit Score Breakdown
qwen3-vl:30b
Speed
50/50
TTFT
20/20
Memory
28/30
gemma4:26b
Speed
49/50
TTFT
20/20
Memory
8/30
Quality
qwen3-vl:30b
Reasoning
14/20
Coding
6/20
Instruction
17/20
Structured
12/15
Math
13/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
gemma4:26b
Reasoning
17/20
Coding
19/20
Instruction
17/20
Structured
14/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
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