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qwen3-vl:8b

OLLAMA GGUF

qwen3vl · 8.8B · Q4_K_M

Good

Apr 28, 2026 · Intel Xeon® Gold 6230

Qwen3.8-27B-UD-Q3_K_XL

OLLAMA GGUF

llama · 27.3B · Q4_K

Excellent

Aug 23, 2026 · Intel Gen Intel® Core™ i5-12600K

Global Score
72 vs 90
Hardware Fit
89 vs 97
Quality Score
64 vs 87

Hardware

qwen3-vl:8b Qwen3.8-27B-UD-Q3_…
MachineHP HP Z8 G4 Workstation—
CPUIntel Xeon® Gold 6230Intel Gen Intel® Core™ i5-12600K
Cores8016
RAM252 GB31 GB
GPUTU104GL [Quadro RTX 5000]AlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]
OSUbuntu 24.04.4 LTSUbuntu 24.04.4 LTS
Archx64x64
Power Modelow-powerlow-power

Performance

qwen3-vl:8b Qwen3.8-27B-UD-Q3_…
Tokens/sec68.239.0
First chunk285 ms305 ms
TTFT2.0 s305 ms
Load time42.4 s0.0 s
Memory usage7.1 GB12.5 GB
Memory %3%41%

HW Fit Score Breakdown

qwen3-vl:8b

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

Qwen3.8-27B-UD-Q3_K_XL

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

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

Qwen3.8-27B-UD-Q3_K_XL

Reasoning
17/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3-vl:8b details | View Qwen3.8-27B-UD-Q3_… 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