Back to leaderboard

qwen3-vl:2b

OLLAMA GGUF

qwen3vl · 2.1B · Q4_K_M

Good

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
62 vs 84
Hardware Fit
99 vs 94
Quality Score
46 vs 80

Hardware

qwen3-vl:2b qwen3.5:9b
MachineAZW GTR ProASUS
CPUAMD RYZEN AI MAX+ 395Intel Core™ i5-14600KF
Cores3220
RAM125 GB32 GB
GPUAMD Radeon 8060SNVIDIA GeForce RTX 4070 Ti SUPER
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modelow-powerbalanced

Performance

qwen3-vl:2b qwen3.5:9b
Tokens/sec127.486.3
First chunk101 ms316 ms
TTFT630 ms316 ms
Load time5.9 s0.3 s
Memory usage33.2 GB8.1 GB
Memory %27%25%

HW Fit Score Breakdown

qwen3-vl:2b

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

qwen3.5:9b

Speed
50/50
TTFT
20/20
Memory
24/30

Quality

qwen3-vl:2b

Reasoning
7/20
Coding
0/20
Instruction
11/20
Structured
7/15
Math
13/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Strong Multilingual: Strong

qwen3.5:9b

Reasoning
14/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
10/15
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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest