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qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

qwen3.5:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Good

Mar 10, 2026 · Apple M4

Global Score
85 vs 66
Hardware Fit
96 vs 34
Quality Score
80 vs 80

Hardware

qwen3.5:9b qwen3.5:27b
MachineASUSMac mini
CPUIntel Core™ i5-14600KFApple M4
Cores2010
RAM32 GB24 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5:9b qwen3.5:27b
Tokens/sec88.64.0
First chunk306 ms1655 ms
TTFT306 ms1.7 s
Load time7.0 s12.9 s
Memory usage8.1 GB21.3 GB
Memory %25%89%

HW Fit Score Breakdown

qwen3.5:9b

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

qwen3.5:27b

Speed
8/50
TTFT
20/20
Memory
6/30

Quality

qwen3.5:9b

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

qwen3.5:27b

Reasoning
16/20
Coding
18/20
Instruction
9/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3.5:9b details | View qwen3.5:27b 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