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qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 7, 2026 · AMD Ryzen 5 5500

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

Global Score
71 vs 53
Hardware Fit
56 vs 89
Quality Score
78 vs 38

Hardware

qwen3.5:9b qwen3.5-0.8b-mlx
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 qwen3.5-0.8b-mlx
Tokens/sec5.352.9
First chunk1624 ms4013 ms
TTFT1.6 s4.0 s
Load time4.0 sN/A
Memory usage7.9 GB0.6 GB
Memory %50%1%

HW Fit Score Breakdown

qwen3.5:9b

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

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
9/20
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

qwen3.5-0.8b-mlx

Reasoning
7/20
Coding
2/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
View qwen3.5:9b details | View qwen3.5-0.8b-mlx 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