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qwen2.5:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Excellent

Nov 3, 2026 · Intel Gen Intel® Core™ i9-12900HX

qwen3-vl:8b

OLLAMA GGUF

qwen3vl · 8.8B · Q4_K_M

Good

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score
85 vs 72
Hardware Fit
100 vs 89
Quality Score
79 vs 64

Hardware

qwen2.5:7b qwen3-vl:8b
MachineMACHENIKE L16PHP HP Z8 G4 Workstation
CPUIntel Gen Intel® Core™ i9-12900HXIntel Xeon® Gold 6230
Cores2480
RAM32 GB252 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPUTU104GL [Quadro RTX 5000]
OSMicrosoft Windows 11 专业版 10.0.26300Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power

Performance

qwen2.5:7b qwen3-vl:8b
Tokens/sec52.368.2
First chunk50 ms285 ms
TTFT50 ms2.0 s
Load time2.0 s42.4 s
Memory usage4.4 GB7.1 GB
Memory %14%3%

HW Fit Score Breakdown

qwen2.5:7b

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

qwen3-vl:8b

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

Quality

qwen2.5:7b

Reasoning
14/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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

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