Back to leaderboard

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Marginal

Aug 22, 2026 · Apple M1 Pro

qwen3:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

Global Score
58 vs 86
Hardware Fit
79 vs 98
Quality Score
49 vs 81

Hardware

qwen3.5:9b qwen3:30b
MachineMacBook ProASUS
CPUApple M1 ProIntel Core™ Ultra 9 285K
Cores1024
RAM16 GB47 GB
GPUApple M1 ProNVIDIA GeForce RTX 5090, Intel(R) Graphics
OSmacOS 26.6.2Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5:9b qwen3:30b
Tokens/sec22.1204.8
First chunk601 ms96 ms
TTFT9.1 s674 ms
Load time4.2 s5.2 s
Memory usage7.2 GB20.5 GB
Memory %45%43%

HW Fit Score Breakdown

qwen3.5:9b

Speed
48/50
TTFT
5/20
Memory
26/30

qwen3:30b

Speed
50/50
TTFT
20/20
Memory
28/30

Quality

qwen3.5:9b

Reasoning
15/20
Coding
4/20
Instruction
5/20
Structured
6/15
Math
11/15
Multilingual
8/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Adequate Multilingual: Strong

qwen3:30b

Reasoning
16/20
Coding
12/20
Instruction
17/20
Structured
12/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong 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