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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Good

Mar 5, 2026 · Apple M1 Max

Global Score

77 vs 62

Hardware Fit

100 vs 100

Quality Score

67 vs 46

Hardware

mlx-community/meta… qwen3.5:0.8b

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… qwen3.5:0.8b

Tokens/sec54.365.8

First chunk277 ms230 ms

TTFT277 ms230 ms

Load timeN/A1.5 s

Memory usage4.2 GB2.6 GB

Memory %7%8%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3.5:0.8b

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

qwen3.5:0.8b

Reasoning

9/20

Coding

4/20

Instruction

11/20

Structured

13/15

Math

3/15

Multilingual

6/10

Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

View mlx-community/meta… details | View qwen3.5:0.8b 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