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qwen3-vl:30b

OLLAMA GGUF

qwen3vlmoe · 31.1B · Q4_K_M

Excellent

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

gemma4:e4b-mlx

OLLAMA GGUF
Not Rec.

Jul 7, 2026 · Apple M2 Pro

Global Score
80 vs 78
Hardware Fit
98 vs 72
Quality Score
72 vs 81

Hardware

qwen3-vl:30b gemma4:e4b-mlx
MachineASUSMacBook Pro
CPUIntel Core™ Ultra 9 285KApple M2 Pro
Cores2410
RAM47 GB16 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsApple M2 Pro
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.5
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3-vl:30b gemma4:e4b-mlx
Tokens/sec208.926.9
First chunk102 ms222 ms
TTFT684 ms222 ms
Load time0.1 s0.1 s
Memory usage22.0 GB15.4 GB
Memory %47%96%

HW Fit Score Breakdown

qwen3-vl:30b

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

gemma4:e4b-mlx

Speed
50/50
TTFT
20/20
Memory
2/30

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:e4b-mlx

Reasoning
14/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3-vl:30b details | View gemma4:e4b-mlx details

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