qwen2.5-coder:0.5b

OLLAMA GGUF

qwen2 · 494.03M · Q4_K_M

Marginal

Nov 13, 2026 · Intel Core™ i5-4590T

google/gemma-3-27b

LM-STUDIO MLX

gemma3 · 27B · 4bit

Not Rec.

Mar 19, 2026 · Apple M4

Global Score

59 vs 71

Hardware Fit

100 vs 35

Quality Score

41 vs 86

Hardware

qwen2.5-coder:0.5b google/gemma-3-27b

MachineFUJITSU ESPRIMO Q920Mac mini

CPUIntel Core™ i5-4590TApple M4

Cores410

RAM16 GB24 GB

GPUIntel(R) HD Graphics 4600, Microsoft Remote Display AdapterApple M4

OSMicrosoft Windows 10 Pro 10.0.19045macOS 26.3

Archx64arm64

Power Modebalancedbalanced

Performance

qwen2.5-coder:0.5b google/gemma-3-27b

Tokens/sec43.75.9

First chunk290 ms19 ms

TTFT290 ms1.8 s

Load time1.4 sN/A

Memory usage0.9 GB22.0 GB

Memory %6%92%

HW Fit Score Breakdown

qwen2.5-coder:0.5b

Speed

50/50

TTFT

20/20

Memory

30/30

google/gemma-3-27b

Speed

12/50

TTFT

19/20

Memory

4/30

Quality

qwen2.5-coder:0.5b

Reasoning

7/20

Coding

8/20

Instruction

10/20

Structured

10/15

Math

2/15

Multilingual

4/10

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

google/gemma-3-27b

Reasoning

16/20

Coding

18/20

Instruction

16/20

Structured

15/15

Math

11/15

Multilingual

10/10

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

View qwen2.5-coder:0.5b details | View google/gemma-3-27b 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