google/gemma-3-4b

LM-STUDIO MLX

gemma3 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

Global Score

76 vs 84

Hardware Fit

100 vs 97

Quality Score

66 vs 79

Hardware

google/gemma-3-4b qwen3:8b

MachineMacBook AirASUS

CPUApple M4Intel Core™ Ultra 9 285K

Cores1024

RAM32 GB47 GB

GPUApple M4NVIDIA GeForce RTX 5090, Intel(R) Graphics

OSmacOS 26.3Microsoft Windows 11 Pro 10.0.26200

Archarm64x64

Power Modebalancedbalanced

Performance

google/gemma-3-4b qwen3:8b

Tokens/sec39.4208.0

First chunk468 ms82 ms

TTFT468 ms1.3 s

Load timeN/A1.5 s

Memory usage2.8 GB9.6 GB

Memory %9%20%

HW Fit Score Breakdown

google/gemma-3-4b

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3:8b

Speed

50/50

TTFT

18/20

Memory

29/30

Quality

google/gemma-3-4b

Reasoning

10/20

Coding

17/20

Instruction

13/20

Structured

12/15

Math

4/15

Multilingual

10/10

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

qwen3:8b

Reasoning

18/20

Coding

10/20

Instruction

14/20

Structured

15/15

Math

12/15

Multilingual

10/10

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

View google/gemma-3-4b details | View qwen3:8b 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