qwen3-vl:30b
OLLAMA GGUFqwen3vlmoe · 31.1B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Aug 25, 2026 · Apple M1 Pro
Global Score
80 vs 72
Hardware Fit
98 vs 71
Quality Score
72 vs 72
Hardware
qwen3-vl:30b ministral-3:8b
MachineASUSMacBook Pro
CPUIntel Core™ Ultra 9 285KApple M1 Pro
Cores2410
RAM47 GB16 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsApple M1 Pro
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3-vl:30b ministral-3:8b
Tokens/sec208.919.8
First chunk102 ms269 ms
TTFT684 ms269 ms
Load time0.1 s10.7 s
Memory usage22.0 GB13.7 GB
Memory %47%86%
HW Fit Score Breakdown
qwen3-vl:30b
Speed
50/50
TTFT
20/20
Memory
28/30
ministral-3:8b
Speed
44/50
TTFT
20/20
Memory
7/30
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
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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest