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qwen3-0.6b

LM-STUDIO GGUF

qwen3 · 0.6B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

gemma3:270m

OLLAMA GGUF

gemma3 · 268.10M · Q8_0

Marginal

Mar 5, 2026 · Apple M3 Pro

Global Score
40 vs 50
Hardware Fit
89 vs 97
Quality Score
19 vs 30

Hardware

qwen3-0.6b gemma3:270m
MachineLENOVO 20BUS00700MacBook Pro
CPUIntel Core™ i5-5300UApple M3 Pro
Cores412
RAM16 GB36 GB
GPUIntel(R) HD Graphics 5500Apple M3 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 15.7.5
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3-0.6b gemma3:270m
Tokens/sec14.4239.2
First chunk854 ms127 ms
TTFT854 ms127 ms
Load timeN/A0.7 s
Memory usage0.5 GB0.6 GB
Memory %3%2%

HW Fit Score Breakdown

qwen3-0.6b

Speed
43/50
TTFT
20/20
Memory
26/30

gemma3:270m

Speed
50/50
TTFT
20/20
Memory
27/30

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

gemma3:270m

Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
8/15
Math
1/15
Multilingual
5/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

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