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qwen3-0.6b

LM-STUDIO GGUF

qwen3 · 0.6B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

qwen3-vl:8b

OLLAMA GGUF

qwen3vl · 8.8B · Q4_K_M

Good

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score
40 vs 72
Hardware Fit
89 vs 89
Quality Score
19 vs 64

Hardware

qwen3-0.6b qwen3-vl:8b
MachineLENOVO 20BUS00700HP HP Z8 G4 Workstation
CPUIntel Core™ i5-5300UIntel Xeon® Gold 6230
Cores480
RAM16 GB252 GB
GPUIntel(R) HD Graphics 5500TU104GL [Quadro RTX 5000]
OSMicrosoft Windows 10 Professionnel 10.0.19045Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power

Performance

qwen3-0.6b qwen3-vl:8b
Tokens/sec14.468.2
First chunk854 ms285 ms
TTFT854 ms2.0 s
Load timeN/A42.4 s
Memory usage0.5 GB7.1 GB
Memory %3%3%

HW Fit Score Breakdown

qwen3-0.6b

Speed
43/50
TTFT
20/20
Memory
26/30

qwen3-vl:8b

Speed
50/50
TTFT
9/20
Memory
30/30

Quality

qwen3-0.6b

Reasoning
5/20
Coding
1/20
Instruction
3/20
Structured
4/15
Math
0/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Poor Multilingual: Adequate

qwen3-vl:8b

Reasoning
16/20
Coding
3/20
Instruction
10/20
Structured
11/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Strong Multilingual: Strong
View qwen3-0.6b details | View qwen3-vl:8b 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