Back to leaderboard

google/gemma-3-4b

LM-STUDIO MLX

gemma3 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Mar 5, 2026 · Intel Core™ i5-6500

Global Score
76 vs 61
Hardware Fit
100 vs 69
Quality Score
66 vs 58

Hardware

google/gemma-3-4b qwen3.5:4b
MachineMacBook AirGigabyte Technology Co., Ltd. H170M-D3H
CPUApple M4Intel Core™ i5-6500
Cores104
RAM32 GB16 GB
GPUApple M4GP104 [GeForce GTX 1070]
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

google/gemma-3-4b qwen3.5:4b
Tokens/sec39.435.7
First chunk468 ms438 ms
TTFT468 ms5.1 s
Load timeN/A40.1 s
Memory usage2.8 GB5.5 GB
Memory %9%35%

HW Fit Score Breakdown

google/gemma-3-4b

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

qwen3.5:4b

Speed
50/50
TTFT
11/20
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

qwen3.5:4b

Reasoning
18/20
Coding
1/20
Instruction
8/20
Structured
8/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Strong Multilingual: Strong
View google/gemma-3-4b details | View qwen3.5:4b 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