qwen3-vl:8b
OLLAMA GGUFqwen3vl · 8.8B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Aug 25, 2026 · Apple M1 Pro
Global Score
72 vs 72
Hardware Fit
89 vs 77
Quality Score
64 vs 70
Hardware
qwen3-vl:8b llama3.1:8b
MachineHP HP Z8 G4 WorkstationMacBook Pro
CPUIntel Xeon® Gold 6230Apple M1 Pro
Cores8010
RAM252 GB16 GB
GPUTU104GL [Quadro RTX 5000]Apple M1 Pro
OSUbuntu 24.04.4 LTSmacOS 26.6.2
Archx64arm64
Power Modelow-powerbalanced
Performance
qwen3-vl:8b llama3.1:8b
Tokens/sec68.221.5
First chunk285 ms368 ms
TTFT2.0 s368 ms
Load time42.4 s6.9 s
Memory usage7.1 GB12.9 GB
Memory %3%81%
HW Fit Score Breakdown
qwen3-vl:8b
Speed
50/50
TTFT
9/20
Memory
30/30
llama3.1:8b
Speed
47/50
TTFT
20/20
Memory
10/30
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
llama3.1:8b
Reasoning
12/20
Coding
18/20
Instruction
13/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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