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qwen3-vl-4b-instruct

LM-STUDIO GGUF

qwen3vl · 4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

lfm2.5-thinking:1.2b

OLLAMA GGUF

lfm2 · 1.2B · Q4_K_M

Not Rec.

May 25, 2026 · Apple M4 Pro

Global Score
87 vs 60
Hardware Fit
100 vs 80
Quality Score
81 vs 52

Hardware

qwen3-vl-4b-instruct lfm2.5-thinking:1.2b
MachineMac StudioMacBook Pro
CPUApple M2 MaxApple M4 Pro
Cores1214
RAM96 GB48 GB
GPUApple M2 MaxApple M4 Pro
OSmacOS 26.1macOS 26.4.1
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3-vl-4b-instruct lfm2.5-thinking:1.2b
Tokens/sec71.6227.0
First chunk5 ms60 ms
TTFT157 ms30.0 s
Load timeN/A0.7 s
Memory usage20.5 GB2.6 GB
Memory %21%6%

HW Fit Score Breakdown

qwen3-vl-4b-instruct

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

lfm2.5-thinking:1.2b

Speed
50/50
TTFT
0/20
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

lfm2.5-thinking:1.2b

Reasoning
8/20
Coding
6/20
Instruction
10/20
Structured
7/15
Math
12/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Weak Math: Strong Multilingual: Strong
View qwen3-vl-4b-instruct details | View lfm2.5-thinking:1.2b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest