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qwen3-vl:4b-instruct

OLLAMA GGUF

qwen3vl · 4.4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

qwen3-vl:30b

OLLAMA GGUF

qwen3vlmoe · 31.1B · Q4_K_M

Excellent

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

Global Score
83 vs 80
Hardware Fit
96 vs 98
Quality Score
78 vs 72

Hardware

qwen3-vl:4b-instruct qwen3-vl:30b
MachineMac StudioASUS
CPUApple M2 MaxIntel Core™ Ultra 9 285K
Cores1224
RAM96 GB47 GB
GPUApple M2 MaxNVIDIA GeForce RTX 5090, Intel(R) Graphics
OSmacOS 26.1Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3-vl:4b-instruct qwen3-vl:30b
Tokens/sec91.2208.9
First chunk150 ms102 ms
TTFT150 ms684 ms
Load time5.3 s0.1 s
Memory usage42.5 GB22.0 GB
Memory %44%47%

HW Fit Score Breakdown

qwen3-vl:4b-instruct

Speed
50/50
TTFT
20/20
Memory
26/30

qwen3-vl:30b

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

Quality

qwen3-vl:4b-instruct

Reasoning
14/20
Coding
16/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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
View qwen3-vl:4b-instruct details | View qwen3-vl:30b 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