qwen3-0.6b

LM-STUDIO GGUF

qwen3 · 0.6B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

gemma-3-27b-it-qat

LM-STUDIO MLX

gemma3 · 27B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

40 vs 76

Hardware Fit

89 vs 51

Quality Score

19 vs 87

Hardware

qwen3-0.6b gemma-3-27b-it-qat

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 gemma-3-27b-it-qat

Tokens/sec14.48.9

First chunk854 ms3976 ms

TTFT854 ms4.0 s

Load timeN/AN/A

Memory usage0.5 GB15.7 GB

Memory %3%25%

HW Fit Score Breakdown

qwen3-0.6b

Speed

43/50

TTFT

20/20

Memory

26/30

gemma-3-27b-it-qat

Speed

12/50

TTFT

9/20

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

gemma-3-27b-it-qat

Reasoning

16/20

Coding

18/20

Instruction

17/20

Structured

15/15

Math

11/15

Multilingual

10/10

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

View qwen3-0.6b details | View gemma-3-27b-it-qat 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