Back to leaderboard

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Aug 23, 2026 · Apple M1 Pro

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score
69 vs 80
Hardware Fit
86 vs 85
Quality Score
62 vs 78

Hardware

qwen3.5:4b qwen3:8b
MachineMacBook ProHP HP Z8 G4 Workstation
CPUApple M1 ProIntel Xeon® Gold 6230
Cores1080
RAM16 GB252 GB
GPUApple M1 ProTU104GL [Quadro RTX 5000]
OSmacOS 26.6.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

qwen3.5:4b qwen3:8b
Tokens/sec36.765.1
First chunk207 ms289 ms
TTFT6.6 s4.2 s
Load time3.0 s4.6 s
Memory usage5.3 GB5.6 GB
Memory %33%2%

HW Fit Score Breakdown

qwen3.5:4b

Speed
50/50
TTFT
7/20
Memory
29/30

qwen3:8b

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

Quality

qwen3.5:4b

Reasoning
16/20
Coding
1/20
Instruction
14/20
Structured
9/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Strong 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 qwen3.5:4b 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