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qwen3.5:latest

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Not Rec.

Mar 8, 2026 · Apple M4

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
34 vs 81
Hardware Fit
58 vs 95
Quality Score
23 vs 75

Hardware

qwen3.5:latest qwen3:8b
MachineMac miniASUS
CPUApple M4Intel Core™ i5-14600KF
Cores1020
RAM16 GB32 GB
GPUApple M4NVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5:latest qwen3:8b
Tokens/sec13.3108.3
First chunk438 ms169 ms
TTFT19.8 s169 ms
Load time0.2 s1.7 s
Memory usage8.0 GB5.6 GB
Memory %50%18%

HW Fit Score Breakdown

qwen3.5:latest

Speed
32/50
TTFT
1/20
Memory
25/30

qwen3:8b

Speed
50/50
TTFT
20/20
Memory
25/30

Quality

qwen3.5:latest

Reasoning
6/20
Coding
1/20
Instruction
3/20
Structured
0/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Weak 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

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