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qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

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
96 vs 89
Quality Score
80 vs 64

Hardware

qwen3.5:9b qwen3-vl:8b
MachineASUSHP HP Z8 G4 Workstation
CPUIntel Core™ i5-14600KFIntel Xeon® Gold 6230
Cores2080
RAM32 GB252 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERTU104GL [Quadro RTX 5000]
OSMicrosoft Windows 11 Famille 10.0.26200Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power

Performance

qwen3.5:9b qwen3-vl:8b
Tokens/sec88.668.2
First chunk306 ms285 ms
TTFT306 ms2.0 s
Load time7.0 s42.4 s
Memory usage8.1 GB7.1 GB
Memory %25%3%

HW Fit Score Breakdown

qwen3.5:9b

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

qwen3-vl:8b

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

Quality

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

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
View qwen3.5:9b details | View qwen3-vl:8b 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