Back to leaderboard

qwen3-vl:4b-instruct

OLLAMA GGUF

qwen3vl · 4.4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Marginal

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
83 vs 57
Hardware Fit
96 vs 61
Quality Score
78 vs 55

Hardware

qwen3-vl:4b-instruct qwen3.5:9b
MachineMac StudioAZW GTR Pro
CPUApple M2 MaxAMD RYZEN AI MAX+ 395
Cores1232
RAM96 GB125 GB
GPUApple M2 MaxAMD Radeon 8060S
OSmacOS 26.1Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

qwen3-vl:4b-instruct qwen3.5:9b
Tokens/sec90.630.3
First chunk159 ms205 ms
TTFT159 ms8.7 s
Load time5.8 s5.6 s
Memory usage42.5 GB18.8 GB
Memory %44%15%

HW Fit Score Breakdown

qwen3-vl:4b-instruct

Speed
50/50
TTFT
20/20
Memory
26/30

qwen3.5:9b

Speed
30/50
TTFT
1/20
Memory
30/30

Quality

qwen3-vl:4b-instruct

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

qwen3.5:9b

Reasoning
17/20
Coding
2/20
Instruction
7/20
Structured
8/15
Math
12/15
Multilingual
9/10
Reasoning: Strong Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Strong Multilingual: Strong
View qwen3-vl:4b-instruct details | View qwen3.5:9b details

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