qwen3-0.6b

LM-STUDIO GGUF

qwen3 · 0.6B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

llama3.2:latest

OLLAMA GGUF

llama · 3.2B · Q4_K_M

Good

Feb 28, 2026 · Apple M4 Pro

Global Score

40 vs 73

Hardware Fit

89 vs 100

Quality Score

19 vs 61

Hardware

qwen3-0.6b llama3.2:latest

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 Modebalancedunknown

Performance

qwen3-0.6b llama3.2:latest

Tokens/sec14.498.9

First chunk854 msN/A

TTFT854 ms125 ms

Load timeN/A2.3 s

Memory usage0.5 GB22.1 GB

Memory %3%35%

HW Fit Score Breakdown

qwen3-0.6b

Speed

43/50

TTFT

20/20

Memory

26/30

llama3.2:latest

Speed

40/50

TTFT

30/20

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

llama3.2:latest

Reasoning

11/20

Coding

14/20

Instruction

12/20

Structured

12/15

Math

3/15

Multilingual

9/10

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

View qwen3-0.6b details | View llama3.2:latest 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