Back to leaderboard

mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 7, 2026 · AMD Ryzen 5 5500

Global Score
77 vs 71
Hardware Fit
100 vs 56
Quality Score
67 vs 78

Hardware

mlx-community/meta… qwen3.5:9b
MachineMac miniSystem manufacturer
CPUApple M4 ProAMD Ryzen 5 5500
Cores1412
RAM64 GB16 GB
GPUApple M4 ProNVIDIA GeForce RTX 3060
OSmacOS 15.7.4Microsoft Windows 11 IoT Enterprise LTSC 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

mlx-community/meta… qwen3.5:9b
Tokens/sec54.35.3
First chunk277 ms1624 ms
TTFT277 ms1.6 s
Load timeN/A4.0 s
Memory usage4.2 GB7.9 GB
Memory %7%50%

HW Fit Score Breakdown

mlx-community/meta-llam…

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

qwen3.5:9b

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

Quality

mlx-community/meta-llam…

Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

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
View mlx-community/meta… details | View qwen3.5:9b 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