Back to leaderboard

qwen3-vl:8b

OLLAMA GGUF

qwen3vl · 8.8B · Q4_K_M

Good

Apr 28, 2026 · Intel Xeon® Gold 6230

qwen3-4b-qwen3.6-plus-reasoning-distilled

LM-STUDIO GGUF

qwen3 · 4B · Q4_1

Good

Apr 21, 2026 · Apple M2 Max

Global Score
72 vs 65
Hardware Fit
89 vs 96
Quality Score
64 vs 51

Hardware

qwen3-vl:8b qwen3-4b-qwen3.6-p…
MachineHP HP Z8 G4 WorkstationMac Studio
CPUIntel Xeon® Gold 6230Apple M2 Max
Cores8012
RAM252 GB96 GB
GPUTU104GL [Quadro RTX 5000]Apple M2 Max
OSUbuntu 24.04.4 LTSmacOS 26.1
Archx64arm64
Power Modelow-powerbalanced

Performance

qwen3-vl:8b qwen3-4b-qwen3.6-p…
Tokens/sec68.299.6
First chunk285 ms18 ms
TTFT2.0 s1.6 s
Load time42.4 s4.8 s
Memory usage7.1 GB0.3 GB
Memory %3%0%

HW Fit Score Breakdown

qwen3-vl:8b

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

qwen3-4b-qwen3.6-plus-r…

Speed
50/50
TTFT
16/20
Memory
30/30

Quality

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

qwen3-4b-qwen3.6-plus-r…

Reasoning
8/20
Coding
4/20
Instruction
14/20
Structured
9/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Adequate 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