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qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Marginal

Aug 22, 2026 · Apple M1 Pro

Qwen3.8-27B-UD-Q3_K_XL

OLLAMA GGUF

llama · 27.3B · Q4_K

Excellent

Aug 23, 2026 · Intel Gen Intel® Core™ i5-12600K

Global Score
58 vs 90
Hardware Fit
79 vs 97
Quality Score
49 vs 87

Hardware

qwen3.5:9b Qwen3.8-27B-UD-Q3_…
MachineMacBook Pro
CPUApple M1 ProIntel Gen Intel® Core™ i5-12600K
Cores1016
RAM16 GB31 GB
GPUApple M1 ProAlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]
OSmacOS 26.6.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

qwen3.5:9b Qwen3.8-27B-UD-Q3_…
Tokens/sec22.139.0
First chunk601 ms305 ms
TTFT9.1 s305 ms
Load time4.2 s0.0 s
Memory usage7.2 GB12.5 GB
Memory %45%41%

HW Fit Score Breakdown

qwen3.5:9b

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

Qwen3.8-27B-UD-Q3_K_XL

Speed
50/50
TTFT
20/20
Memory
27/30

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

Qwen3.8-27B-UD-Q3_K_XL

Reasoning
17/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong 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