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qwen3.5-0.8b

LM-STUDIO GGUF

qwen35 · 0.8B · Q4_K_M

Marginal

Mar 6, 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
48 vs 72
Hardware Fit
61 vs 89
Quality Score
42 vs 64

Hardware

qwen3.5-0.8b 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

qwen3.5-0.8b qwen3-vl:8b
Tokens/sec6.268.2
First chunk4461 ms285 ms
TTFT4.5 s2.0 s
Load timeN/A42.4 s
Memory usage0.7 GB7.1 GB
Memory %4%3%

HW Fit Score Breakdown

qwen3.5-0.8b

Speed
22/50
TTFT
12/20
Memory
27/30

qwen3-vl:8b

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

Quality

qwen3.5-0.8b

Reasoning
10/20
Coding
2/20
Instruction
10/20
Structured
12/15
Math
2/15
Multilingual
6/10
Reasoning: Adequate Coding: Poor Instruction Following: Adequate Structured Output: Strong 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 qwen3.5-0.8b 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