qwen3-vl:30b
OLLAMA GGUFqwen3vlmoe · 31.1B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 8bit
Aug 18, 2026 · Apple M4 Max
Global Score
80 vs 81
Hardware Fit
98 vs 68
Quality Score
72 vs 87
Hardware
qwen3-vl:30b qwen/qwen3.8-27b
MachineASUSMacBook Pro
CPUIntel Core™ Ultra 9 285KApple M4 Max
Cores2416
RAM47 GB128 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsApple M4 Max
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3-vl:30b qwen/qwen3.8-27b
Tokens/sec208.916.4
First chunk102 ms5 ms
TTFT684 ms742 ms
Load time0.1 sN/A
Memory usage22.0 GB38.5 GB
Memory %47%30%
HW Fit Score Breakdown
qwen3-vl:30b
Speed
50/50
TTFT
20/20
Memory
28/30
qwen/qwen3.8-27b
Speed
18/50
TTFT
20/20
Memory
30/30
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
qwen/qwen3.8-27b
Reasoning
17/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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