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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen3.5:9b-q8_0

OLLAMA GGUF

qwen35 · 9.7B · Q8_0

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

Global Score
77 vs 86
Hardware Fit
100 vs 100
Quality Score
67 vs 80

Hardware

mlx-community/meta… qwen3.5:9b-q8_0
MachineMac miniGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUApple M4 ProIntel Core™ i5-14400F
Cores1416
RAM64 GB32 GB
GPUApple M4 ProNVIDIA GeForce RTX 5060 Ti
OSmacOS 15.7.4Microsoft Windows 11 Professionnel 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

mlx-community/meta… qwen3.5:9b-q8_0
Tokens/sec54.337.7
First chunk277 ms120 ms
TTFT277 ms120 ms
Load timeN/A8.3 s
Memory usage4.2 GB8.4 GB
Memory %7%26%

HW Fit Score Breakdown

mlx-community/meta-llam…

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

qwen3.5:9b-q8_0

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

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-q8_0

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
View mlx-community/meta… details | View qwen3.5:9b-q8_0 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