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google/gemma-3-4b

LM-STUDIO MLX

gemma3 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

gemma4:26b

OLLAMA GGUF

gemma4 · 25.8B · Q4_K_M

Not Rec.

Apr 3, 2026 · Apple M4

Global Score
76 vs 33
Hardware Fit
100 vs 50
Quality Score
66 vs 25

Hardware

google/gemma-3-4b gemma4:26b
MachineMacBook AirMac mini
CPUApple M4Apple M4
Cores1010
RAM32 GB24 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

google/gemma-3-4b gemma4:26b
Tokens/sec39.420.0
First chunk468 ms941 ms
TTFT468 ms30.0 s
Load timeN/A0.2 s
Memory usage2.8 GB20.3 GB
Memory %9%85%

HW Fit Score Breakdown

google/gemma-3-4b

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

gemma4:26b

Speed
42/50
TTFT
0/20
Memory
8/30

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

gemma4:26b

Reasoning
14/20
Coding
1/20
Instruction
6/20
Structured
3/15
Math
0/15
Multilingual
1/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
View google/gemma-3-4b details | View gemma4:26b 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