qwen3-vl-4b-instruct-q4_k_m.gguf

OPENAI GGUF

Good

Apr 21, 2026 · Apple M2 Max

text-embedding-nomic-embed-text-v1.5

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

Global Score

62 vs 59

Hardware Fit

100 vs 94

Quality Score

46 vs 44

Hardware

qwen3-vl-4b-instru… text-embedding-nom…

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-instru… text-embedding-nom…

Tokens/sec67.845.3

First chunk62 ms2440 ms

TTFT64 ms2.4 s

Load time0.0 sN/A

Memory usage0.0 GB0.0 GB

Memory %0%0%

HW Fit Score Breakdown

qwen3-vl-4b-instruct-q4…

Speed

50/50

TTFT

20/20

Memory

30/30

text-embedding-nomic-em…

Speed

40/50

TTFT

25/20

Memory

29/30

Quality

qwen3-vl-4b-instruct-q4…

Reasoning

16/20

Coding

0/20

Instruction

12/20

Structured

1/15

Math

8/15

Multilingual

9/10

Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Poor Math: Adequate Multilingual: Strong

text-embedding-nomic-em…

Reasoning

10/20

Coding

3/20

Instruction

11/20

Structured

12/15

Math

3/15

Multilingual

5/10

Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

View qwen3-vl-4b-instru… details | View text-embedding-nom… 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