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google/gemma-3-4b

LM-STUDIO MLX

gemma3 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

qwen2.5-coder:3b

OLLAMA GGUF

qwen2 · 3.1B · Q4_K_M

Good

Jun 26, 2026 · Cortex-A78AE

Global Score
76 vs 73
Hardware Fit
100 vs 100
Quality Score
66 vs 61

Hardware

google/gemma-3-4b qwen2.5-coder:3b
MachineMacBook AirNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUApple M4Cortex-A78AE
Cores106
RAM32 GB7 GB
GPUApple M4Integrated / Unknown
OSmacOS 26.3Ubuntu 22.04.5 LTS
Archarm64arm64
Power Modebalancedbalanced

Performance

google/gemma-3-4b qwen2.5-coder:3b
Tokens/sec39.421.3
First chunk468 ms969 ms
TTFT468 ms969 ms
Load timeN/A6.6 s
Memory usage2.8 GB2.0 GB
Memory %9%27%

HW Fit Score Breakdown

google/gemma-3-4b

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

qwen2.5-coder:3b

Speed
50/50
TTFT
20/20
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

qwen2.5-coder:3b

Reasoning
8/20
Coding
15/20
Instruction
11/20
Structured
14/15
Math
4/15
Multilingual
9/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

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