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gemma-3-4b-it-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Aug 22, 2026 · Apple M1 Pro

Global Score
80 vs 69
Hardware Fit
100 vs 85
Quality Score
71 vs 62

Hardware

gemma-3-4b-it-q4-k-m qwen3.5:4b
MachineMac ProMacBook Pro
CPUIntel Core™ i5-10400Apple M1 Pro
Cores1210
RAM32 GB16 GB
GPUAMD Radeon RX 6700 XTApple M1 Pro
OSmacOS 26.5.1macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced

Performance

gemma-3-4b-it-q4-k-m qwen3.5:4b
Tokens/sec75.036.9
First chunk136 ms474 ms
TTFT136 ms6.9 s
Load time0.0 s2.9 s
Memory usage0.8 GB5.3 GB
Memory %3%33%

HW Fit Score Breakdown

gemma-3-4b-it-q4-k-m

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

qwen3.5:4b

Speed
50/50
TTFT
6/20
Memory
29/30

Quality

gemma-3-4b-it-q4-k-m

Reasoning
11/20
Coding
17/20
Instruction
14/20
Structured
14/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

qwen3.5:4b

Reasoning
16/20
Coding
1/20
Instruction
14/20
Structured
9/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Strong Multilingual: Strong
View gemma-3-4b-it-q4-k-m 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