google/gemma-3-4b

LM-STUDIO MLX

gemma3 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

qwen3.8-27b-claude-opus-reasoning-distilled

LM-STUDIO GGUF

qwen35 · 27B · Q4_K_M

Excellent

Aug 20, 2026 · Apple M4 Max

Global Score

76 vs 80

Hardware Fit

100 vs 63

Quality Score

66 vs 87

Hardware

google/gemma-3-4b qwen3.8-27b-claude…

MachineMacBook AirMacBook Pro

CPUApple M4Apple M4 Max

Cores1016

RAM32 GB128 GB

GPUApple M4Apple M4 Max

OSmacOS 26.3macOS 26.5.2

Archarm64arm64

Power Modebalancedbalanced

Performance

google/gemma-3-4b qwen3.8-27b-claude…

Tokens/sec39.424.0

First chunk468 ms20 ms

TTFT468 ms4.5 s

Load timeN/AN/A

Memory usage2.8 GB15.7 GB

Memory %9%12%

HW Fit Score Breakdown

google/gemma-3-4b

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3.8-27b-claude-opus…

Speed

27/50

TTFT

6/20

Memory

30/30

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

qwen3.8-27b-claude-opus…

Reasoning

19/20

Coding

18/20

Instruction

11/20

Structured

15/15

Math

14/15

Multilingual

10/10

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

View google/gemma-3-4b details | View qwen3.8-27b-claude… 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