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llama3.2:latest

OLLAMA GGUF

llama · 3.2B · Q4_K_M

Good

May 27, 2026 · AMD Ryzen 5 2600X Six-Core Processor

qwen3.5-9b-mlx

LM-STUDIO MLX

qwen3_5 · 9B · 4bit

Marginal

Mar 11, 2026 · Apple M4

Global Score
76 vs 59
Hardware Fit
100 vs 65
Quality Score
65 vs 57

Hardware

llama3.2:latest qwen3.5-9b-mlx
MachineMicro-Star International Co., Ltd. MS-7B79Mac mini
CPUAMD Ryzen 5 2600X Six-Core ProcessorApple M4
Cores1210
RAM16 GB24 GB
GPUNVIDIA GeForce GTX 1080Apple M4
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

llama3.2:latest qwen3.5-9b-mlx
Tokens/sec57.014.3
First chunk264 ms24 ms
TTFT264 ms13.4 s
Load time9.7 s13.3 s
Memory usage2.6 GB2.5 GB
Memory %16%10%

HW Fit Score Breakdown

llama3.2:latest

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

qwen3.5-9b-mlx

Speed
32/50
TTFT
3/20
Memory
30/30

Quality

llama3.2:latest

Reasoning
11/20
Coding
15/20
Instruction
15/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong

qwen3.5-9b-mlx

Reasoning
10/20
Coding
17/20
Instruction
5/20
Structured
9/15
Math
11/15
Multilingual
5/10
Reasoning: Weak Coding: Strong Instruction Following: Weak Structured Output: Adequate Math: Adequate Multilingual: Adequate

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