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qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Mar 5, 2026 · Intel Core™ i5-6500

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
61 vs 81
Hardware Fit
69 vs 96
Quality Score
58 vs 75

Hardware

qwen3.5:4b qwen3:8b
MachineGigabyte Technology Co., Ltd. H170M-D3HASUS
CPUIntel Core™ i5-6500Intel Core™ i5-14600KF
Cores420
RAM16 GB32 GB
GPUGP104 [GeForce GTX 1070]NVIDIA GeForce RTX 4070 Ti SUPER
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modelow-powerbalanced

Performance

qwen3.5:4b qwen3:8b
Tokens/sec35.7109.1
First chunk438 ms190 ms
TTFT5.1 s190 ms
Load time40.1 s4.3 s
Memory usage5.5 GB5.6 GB
Memory %35%18%

HW Fit Score Breakdown

qwen3.5:4b

Speed
50/50
TTFT
11/20
Memory
8/30

qwen3:8b

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

Quality

qwen3.5:4b

Reasoning
18/20
Coding
1/20
Instruction
8/20
Structured
8/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Strong Multilingual: Strong

qwen3:8b

Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen3.5:4b 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