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qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 7, 2026 · AMD Ryzen 5 5500

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
71 vs 89
Hardware Fit
56 vs 95
Quality Score
78 vs 87

Hardware

qwen3.5:9b qwen/qwen3-8b
MachineSystem manufacturerMac mini
CPUAMD Ryzen 5 5500Apple M4 Pro
Cores1214
RAM16 GB64 GB
GPUNVIDIA GeForce RTX 3060Apple M4 Pro
OSMicrosoft Windows 11 IoT Enterprise LTSC 10.0.26100macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5:9b qwen/qwen3-8b
Tokens/sec5.333.4
First chunk1624 ms257 ms
TTFT1.6 s257 ms
Load time4.0 sN/A
Memory usage7.9 GB4.3 GB
Memory %50%7%

HW Fit Score Breakdown

qwen3.5:9b

Speed
11/50
TTFT
20/20
Memory
25/30

qwen/qwen3-8b

Speed
45/50
TTFT
20/20
Memory
30/30

Quality

qwen3.5:9b

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

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3.5:9b details | View qwen/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