qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Good

Mar 5, 2026 · Apple M1 Max

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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

62 vs 77

Hardware Fit

100 vs 100

Quality Score

46 vs 67

Hardware

qwen3.5:0.8b mlx-community/meta…

MachineMacBook ProMac mini

CPUApple M1 MaxApple M4 Pro

Cores1014

RAM32 GB64 GB

GPUApple M1 MaxApple M4 Pro

OSmacOS 26.3macOS 15.7.4

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen3.5:0.8b mlx-community/meta…

Tokens/sec67.654.3

First chunk209 ms277 ms

TTFT209 ms277 ms

Load time1.9 sN/A

Memory usage2.6 GB4.2 GB

Memory %8%7%

HW Fit Score Breakdown

qwen3.5:0.8b

Speed

50/50

TTFT

20/20

Memory

30/30

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

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

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

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