qwen3:0.6b

OLLAMA GGUF

qwen3 · 751.63M · Q4_K_M

Good

Apr 29, 2026 · Intel Core™ i5-8350U

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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

61 vs 77

Hardware Fit

85 vs 100

Quality Score

51 vs 67

Hardware

qwen3:0.6b mlx-community/meta…

MachineLENOVO 20L7CTO1WWMac mini

CPUIntel Core™ i5-8350UApple M4 Pro

Cores814

RAM23 GB64 GB

GPUKaby Lake-R GT2 [UHD Graphics 620]Apple M4 Pro

OSFedora Linux 43macOS 15.7.4

Archx64arm64

Power Modelow-powerbalanced

Performance

qwen3:0.6b mlx-community/meta…

Tokens/sec27.054.3

First chunk597 ms277 ms

TTFT8.7 s277 ms

Load time1.8 sN/A

Memory usage0.9 GB4.2 GB

Memory %4%7%

HW Fit Score Breakdown

qwen3:0.6b

Speed

50/50

TTFT

5/20

Memory

30/30

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

qwen3:0.6b

Reasoning

14/20

Coding

0/20

Instruction

9/20

Structured

12/15

Math

9/15

Multilingual

7/10

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