qwen3-0.6b

LM-STUDIO GGUF

qwen3 · 0.6B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

gemma4:26b

OLLAMA GGUF

gemma4 · 25.8B · Q4_K_M

Not Rec.

Apr 3, 2026 · Apple M4

Global Score

40 vs 33

Hardware Fit

89 vs 50

Quality Score

19 vs 25

Hardware

qwen3-0.6b gemma4:26b

MachineLENOVO 20BUS00700Mac mini

CPUIntel Core™ i5-5300UApple M4

Cores410

RAM16 GB24 GB

GPUIntel(R) HD Graphics 5500Apple M4

OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.3

Archx64arm64

Power Modebalancedbalanced

Performance

qwen3-0.6b gemma4:26b

Tokens/sec14.420.0

First chunk854 ms941 ms

TTFT854 ms30.0 s

Load timeN/A0.2 s

Memory usage0.5 GB20.3 GB

Memory %3%85%

HW Fit Score Breakdown

qwen3-0.6b

Speed

43/50

TTFT

20/20

Memory

26/30

gemma4:26b

Speed

42/50

TTFT

0/20

Memory

8/30

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

gemma4:26b

Reasoning

14/20

Coding

1/20

Instruction

6/20

Structured

3/15

Math

0/15

Multilingual

1/10

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

View qwen3-0.6b details | View gemma4:26b 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