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qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Apr 28, 2026 · Intel Xeon® Gold 6230

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

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

Hardware

qwen3:8b qwen3.5:9b
MachineHP HP Z8 G4 WorkstationASUS
CPUIntel Xeon® Gold 6230Intel Core™ i5-14600KF
Cores8020
RAM252 GB32 GB
GPUTU104GL [Quadro RTX 5000]NVIDIA GeForce RTX 4070 Ti SUPER
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modelow-powerbalanced

Performance

qwen3:8b qwen3.5:9b
Tokens/sec65.188.6
First chunk289 ms306 ms
TTFT4.2 s306 ms
Load time4.6 s7.0 s
Memory usage5.6 GB8.1 GB
Memory %2%25%

HW Fit Score Breakdown

qwen3:8b

Speed
50/50
TTFT
5/20
Memory
30/30

qwen3.5:9b

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

Quality

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

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
View qwen3:8b 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