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qwen3-vl:8b

OLLAMA GGUF

qwen3vl · 8.8B · Q4_K_M

Good

Apr 28, 2026 · Intel Xeon® Gold 6230

google/gemma-3-27b

LM-STUDIO MLX

gemma3 · 27B · 4bit

Not Rec.

Mar 19, 2026 · Apple M4

Global Score
72 vs 71
Hardware Fit
89 vs 35
Quality Score
64 vs 86

Hardware

qwen3-vl:8b google/gemma-3-27b
MachineHP HP Z8 G4 WorkstationMac mini
CPUIntel Xeon® Gold 6230Apple M4
Cores8010
RAM252 GB24 GB
GPUTU104GL [Quadro RTX 5000]Apple M4
OSUbuntu 24.04.4 LTSmacOS 26.3
Archx64arm64
Power Modelow-powerbalanced

Performance

qwen3-vl:8b google/gemma-3-27b
Tokens/sec68.25.9
First chunk285 ms19 ms
TTFT2.0 s1.8 s
Load time42.4 sN/A
Memory usage7.1 GB22.0 GB
Memory %3%92%

HW Fit Score Breakdown

qwen3-vl:8b

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

google/gemma-3-27b

Speed
12/50
TTFT
19/20
Memory
4/30

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

google/gemma-3-27b

Reasoning
16/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong 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