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qwen3-vl:30b

OLLAMA GGUF

qwen3vlmoe · 31.1B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

google/gemma-3-27b

LM-STUDIO MLX

gemma3 · 27B · 4bit

Not Rec.

Mar 19, 2026 · Apple M4

Global Score
80 vs 71
Hardware Fit
98 vs 35
Quality Score
72 vs 86

Hardware

qwen3-vl:30b google/gemma-3-27b
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 google/gemma-3-27b
Tokens/sec208.95.9
First chunk102 ms19 ms
TTFT684 ms1.8 s
Load time0.1 sN/A
Memory usage22.0 GB22.0 GB
Memory %47%92%

HW Fit Score Breakdown

qwen3-vl:30b

Speed
50/50
TTFT
20/20
Memory
28/30

google/gemma-3-27b

Speed
12/50
TTFT
19/20
Memory
4/30

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

google/gemma-3-27b

Reasoning
16/20
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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest