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qwen3-vl:4b-instruct

OLLAMA GGUF

qwen3vl · 4.4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

liquid/lfm2-24b-a2b

LM-STUDIO MLX

lfm2_moe · 24B · 4bit

Good

Mar 19, 2026 · Apple M4

Global Score
83 vs 74
Hardware Fit
96 vs 84
Quality Score
78 vs 69

Hardware

qwen3-vl:4b-instruct liquid/lfm2-24b-a2b
MachineMac StudioMac mini
CPUApple M2 MaxApple M4
Cores1210
RAM96 GB24 GB
GPUApple M2 MaxApple M4
OSmacOS 26.1macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3-vl:4b-instruct liquid/lfm2-24b-a2b
Tokens/sec91.258.9
First chunk150 ms28 ms
TTFT150 ms481 ms
Load time5.3 sN/A
Memory usage42.5 GB17.5 GB
Memory %44%73%

HW Fit Score Breakdown

qwen3-vl:4b-instruct

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

liquid/lfm2-24b-a2b

Speed
50/50
TTFT
20/20
Memory
14/30

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

liquid/lfm2-24b-a2b

Reasoning
11/20
Coding
12/20
Instruction
16/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3-vl:4b-instruct details | View liquid/lfm2-24b-a2b 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