Back to leaderboard

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score
85 vs 80
Hardware Fit
96 vs 85
Quality Score
80 vs 78

Hardware

qwen3.5:9b qwen3:8b
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 qwen3:8b
Tokens/sec88.665.1
First chunk306 ms289 ms
TTFT306 ms4.2 s
Load time7.0 s4.6 s
Memory usage8.1 GB5.6 GB
Memory %25%2%

HW Fit Score Breakdown

qwen3.5:9b

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

qwen3:8b

Speed
50/50
TTFT
5/20
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

qwen3:8b

Reasoning
17/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3.5:9b details | View qwen3:8b 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