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qwen3:0.6b

OLLAMA GGUF

qwen3 · 751.63M · Q4_K_M

Good

Mar 2, 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
73 vs 81
Hardware Fit
100 vs 90
Quality Score
62 vs 77

Hardware

qwen3:0.6b gemma-4-e2b-it-qat
MachineMacBook AirDocker Container
CPUApple M4Intel Gen Intel® Core™ i9-11900H
Cores1016
RAM32 GB15 GB
GPUApple M4TigerLake-H GT1 [UHD Graphics]
OSmacOS 26.3Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

qwen3:0.6b gemma-4-e2b-it-qat
Tokens/sec145.222.2
First chunkN/A67 ms
TTFT1.4 s1.1 s
Load time0.7 s5.4 s
Memory usage4.1 GB0.0 GB
Memory %13%0%

HW Fit Score Breakdown

qwen3:0.6b

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

gemma-4-e2b-it-qat

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

Quality

qwen3:0.6b

Reasoning
14/20
Coding
3/20
Instruction
11/20
Structured
13/15
Math
13/15
Multilingual
8/10
Reasoning: Adequate Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Strong 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 qwen3:0.6b 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