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qwen3-vl-4b-instruct

LM-STUDIO GGUF

qwen3vl · 4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

vicuna:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

Global Score
87 vs 59
Hardware Fit
100 vs 97
Quality Score
81 vs 43

Hardware

qwen3-vl-4b-instruct vicuna:7b
MachineMac StudioMacBook Air
CPUApple M2 MaxApple M4
Cores1210
RAM96 GB32 GB
GPUApple M2 MaxApple M4
OSmacOS 26.1macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3-vl-4b-instruct vicuna:7b
Tokens/sec72.023.4
First chunk7 msN/A
TTFT176 ms242 ms
Load time6.7 s0.4 s
Memory usage0.0 GB5.8 GB
Memory %0%18%

HW Fit Score Breakdown

qwen3-vl-4b-instruct

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

vicuna:7b

Speed
37/50
TTFT
30/20
Memory
30/30

Quality

qwen3-vl-4b-instruct

Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

vicuna:7b

Reasoning
8/20
Coding
4/20
Instruction
10/20
Structured
12/15
Math
2/15
Multilingual
7/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
View qwen3-vl-4b-instruct details | View vicuna:7b 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