qwen3-vl:8b
OLLAMA GGUFqwen3vl · 8.8B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
gemma-4-e2b-it-qat
LM-STUDIO GGUFgemma4 · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
72 vs 81
Hardware Fit
89 vs 90
Quality Score
64 vs 77
Hardware
qwen3-vl:8b gemma-4-e2b-it-qat
MachineHP HP Z8 G4 WorkstationDocker Container
CPUIntel Xeon® Gold 6230Intel Gen Intel® Core™ i9-11900H
Cores8016
RAM252 GB15 GB
GPUTU104GL [Quadro RTX 5000]TigerLake-H GT1 [UHD Graphics]
OSUbuntu 24.04.4 LTSUbuntu 26.04 LTS
Archx64x64
Power Modelow-powerperformance
Performance
qwen3-vl:8b gemma-4-e2b-it-qat
Tokens/sec68.222.2
First chunk285 ms67 ms
TTFT2.0 s1.1 s
Load time42.4 s5.4 s
Memory usage7.1 GB0.0 GB
Memory %3%0%
HW Fit Score Breakdown
qwen3-vl:8b
Speed
50/50
TTFT
9/20
Memory
30/30
gemma-4-e2b-it-qat
Speed
40/50
TTFT
20/20
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
gemma-4-e2b-it-qat
Reasoning
10/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest