Back to leaderboard

qwen2.5:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Excellent

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

qwen3-vl:30b

OLLAMA GGUF

qwen3vlmoe · 31.1B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

Global Score
85 vs 80
Hardware Fit
100 vs 98
Quality Score
79 vs 72

Hardware

qwen2.5:7b qwen3-vl:30b
MachineMACHENIKE L16PASUS
CPUIntel Gen Intel® Core™ i9-12900HXIntel Core™ Ultra 9 285K
Cores2424
RAM32 GB47 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPUNVIDIA GeForce RTX 5090, Intel(R) Graphics
OSMicrosoft Windows 11 专业版 10.0.26300Microsoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

qwen2.5:7b qwen3-vl:30b
Tokens/sec52.4208.9
First chunk48 ms102 ms
TTFT48 ms684 ms
Load time2.0 s0.1 s
Memory usage4.4 GB22.0 GB
Memory %14%47%

HW Fit Score Breakdown

qwen2.5:7b

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

qwen3-vl:30b

Speed
50/50
TTFT
20/20
Memory
28/30

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:30b

Reasoning
14/20
Coding
6/20
Instruction
17/20
Structured
12/15
Math
13/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Strong Structured Output: Strong 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