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qwen3-vl:4b-instruct

OLLAMA GGUF

qwen3vl · 4.4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score
83 vs 77
Hardware Fit
96 vs 100
Quality Score
78 vs 67

Hardware

qwen3-vl:4b-instruct mlx-community/meta…
MachineMac StudioMac mini
CPUApple M2 MaxApple M4 Pro
Cores1214
RAM96 GB64 GB
GPUApple M2 MaxApple M4 Pro
OSmacOS 26.1macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3-vl:4b-instruct mlx-community/meta…
Tokens/sec91.254.3
First chunk150 ms277 ms
TTFT150 ms277 ms
Load time5.3 sN/A
Memory usage42.5 GB4.2 GB
Memory %44%7%

HW Fit Score Breakdown

qwen3-vl:4b-instruct

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

mlx-community/meta-llam…

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

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

mlx-community/meta-llam…

Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View qwen3-vl:4b-instruct details | View mlx-community/meta… 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