Back to leaderboard

qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_S

Excellent

Mar 12, 2026 · Apple M4 Pro

qwen3-vl:2b

OLLAMA GGUF

qwen3vl · 2.1B · Q4_K_M

Good

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
84 vs 62
Hardware Fit
91 vs 99
Quality Score
81 vs 46

Hardware

qwen3.5-9b qwen3-vl:2b
MachineMac miniAZW GTR Pro
CPUApple M4 ProAMD RYZEN AI MAX+ 395
Cores1432
RAM64 GB125 GB
GPUApple M4 ProAMD Radeon 8060S
OSmacOS 15.7.4Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

qwen3.5-9b qwen3-vl:2b
Tokens/sec30.2127.4
First chunk499 ms101 ms
TTFT499 ms630 ms
Load timeN/A5.9 s
Memory usage6.7 GB33.2 GB
Memory %11%27%

HW Fit Score Breakdown

qwen3.5-9b

Speed
41/50
TTFT
20/20
Memory
30/30

qwen3-vl:2b

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

Quality

qwen3.5-9b

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

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

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