Back to leaderboard

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Not Rec.

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

qwen3-vl:8b

OLLAMA GGUF

qwen3vl · 8.8B · Q4_K_M

Good

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score
65 vs 72
Hardware Fit
73 vs 89
Quality Score
62 vs 64

Hardware

qwen3.5:4b qwen3-vl:8b
MachineAZW GTR ProHP HP Z8 G4 Workstation
CPUAMD RYZEN AI MAX+ 395Intel Xeon® Gold 6230
Cores3280
RAM125 GB252 GB
GPUAMD Radeon 8060STU104GL [Quadro RTX 5000]
OSUbuntu 24.04.4 LTSUbuntu 24.04.4 LTS
Archx64x64
Power Modelow-powerlow-power

Performance

qwen3.5:4b qwen3-vl:8b
Tokens/sec45.768.2
First chunk180 ms285 ms
TTFT30.0 s2.0 s
Load time5.3 s42.4 s
Memory usage16.2 GB7.1 GB
Memory %13%3%

HW Fit Score Breakdown

qwen3.5:4b

Speed
43/50
TTFT
0/20
Memory
30/30

qwen3-vl:8b

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

Quality

qwen3.5:4b

Reasoning
17/20
Coding
1/20
Instruction
13/20
Structured
8/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Strong Multilingual: Strong

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

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