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qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Marginal

Mar 5, 2026 · Apple M4

gemma-4-e2b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_K_XL

Excellent

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
48 vs 81
Hardware Fit
77 vs 90
Quality Score
35 vs 77

Hardware

qwen3.5:4b gemma-4-e2b-it-qat
MachineMac miniDocker Container
CPUApple M4Intel Gen Intel® Core™ i9-11900H
Cores1016
RAM16 GB15 GB
GPUApple M4TigerLake-H GT1 [UHD Graphics]
OSmacOS 26.3Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

qwen3.5:4b gemma-4-e2b-it-qat
Tokens/sec18.922.2
First chunk316 ms67 ms
TTFT13.0 s1.1 s
Load time3.7 s5.4 s
Memory usage5.9 GB0.0 GB
Memory %37%0%

HW Fit Score Breakdown

qwen3.5:4b

Speed
43/50
TTFT
4/20
Memory
30/30

gemma-4-e2b-it-qat

Speed
40/50
TTFT
20/20
Memory
30/30

Quality

qwen3.5:4b

Reasoning
10/20
Coding
1/20
Instruction
4/20
Structured
3/15
Math
8/15
Multilingual
9/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Adequate Multilingual: Strong

gemma-4-e2b-it-qat

Reasoning
10/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3.5:4b details | View gemma-4-e2b-it-qat 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