qwen3-0.6b

LM-STUDIO GGUF

qwen3 · 0.6B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

40 vs 77

Hardware Fit

89 vs 100

Quality Score

19 vs 67

Hardware

qwen3-0.6b mlx-community/meta…

MachineLENOVO 20BUS00700Mac mini

CPUIntel Core™ i5-5300UApple M4 Pro

Cores414

RAM16 GB64 GB

GPUIntel(R) HD Graphics 5500Apple M4 Pro

OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 15.7.4

Archx64arm64

Power Modebalancedbalanced

Performance

qwen3-0.6b mlx-community/meta…

Tokens/sec14.454.3

First chunk854 ms277 ms

TTFT854 ms277 ms

Load timeN/AN/A

Memory usage0.5 GB4.2 GB

Memory %3%7%

HW Fit Score Breakdown

qwen3-0.6b

Speed

43/50

TTFT

20/20

Memory

26/30

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

qwen3-0.6b

Reasoning

5/20

Coding

1/20

Instruction

3/20

Structured

4/15

Math

0/15

Multilingual

6/10

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

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 qwen3-0.6b 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