Back to leaderboard

google/gemma-3-4b

LM-STUDIO MLX

gemma3 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

gemma-3-1b-it

LM-STUDIO GGUF

gemma3 · 1B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

Global Score
76 vs 59
Hardware Fit
100 vs 76
Quality Score
66 vs 52

Hardware

google/gemma-3-4b gemma-3-1b-it
MachineMacBook AirLENOVO 20BUS00700
CPUApple M4Intel Core™ i5-5300U
Cores104
RAM32 GB16 GB
GPUApple M4Intel(R) HD Graphics 5500
OSmacOS 26.3Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

google/gemma-3-4b gemma-3-1b-it
Tokens/sec39.48.7
First chunk468 ms2078 ms
TTFT468 ms2.1 s
Load timeN/AN/A
Memory usage2.8 GB0.8 GB
Memory %9%5%

HW Fit Score Breakdown

google/gemma-3-4b

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

gemma-3-1b-it

Speed
29/50
TTFT
19/20
Memory
28/30

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

gemma-3-1b-it

Reasoning
4/20
Coding
11/20
Instruction
14/20
Structured
13/15
Math
2/15
Multilingual
8/10
Reasoning: Poor Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor 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