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

Marginal

Mar 5, 2026 · Apple M1 Max

Global Score

77 vs 53

Hardware Fit

100 vs 72

Quality Score

67 vs 45

Hardware

mlx-community/meta… qwen3.5:9b

MachineMac miniMacBook Pro

CPUApple M4 ProApple M1 Max

Cores1410

RAM64 GB32 GB

GPUApple M4 ProApple M1 Max

OSmacOS 15.7.4macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/meta… qwen3.5:9b

Tokens/sec54.318.6

First chunk277 ms403 ms

TTFT277 ms10.2 s

Load timeN/A4.3 s

Memory usage4.2 GB9.1 GB

Memory %7%28%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3.5:9b

Speed

38/50

TTFT

4/20

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

Reasoning

12/20

Coding

3/20

Instruction

5/20

Structured

6/15

Math

11/15

Multilingual

8/10

Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Weak 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