hf.co/unsloth/Qwen3.8-27B-GGUF:UD-IQ1_S

OLLAMA GGUF

qwen35 · 27.3B · unknown

Marginal

Aug 25, 2026 · Apple M1 Pro

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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

46 vs 77

Hardware Fit

50 vs 100

Quality Score

44 vs 67

Hardware

hf.co/unsloth/Qwen… mlx-community/meta…

MachineMacBook ProMac mini

CPUApple M1 ProApple M4 Pro

Cores1014

RAM16 GB64 GB

GPUApple M1 ProApple M4 Pro

OSmacOS 26.6.2macOS 15.7.4

Archarm64arm64

Power Modebalancedbalanced

Performance

hf.co/unsloth/Qwen… mlx-community/meta…

Tokens/sec6.054.3

First chunk2377 ms277 ms

TTFT2.2 s277 ms

Load time6.8 sN/A

Memory usage10.6 GB4.2 GB

Memory %66%7%

HW Fit Score Breakdown

hf.co/unsloth/Qwen3.8-2…

Speed

15/50

TTFT

18/20

Memory

17/30

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

hf.co/unsloth/Qwen3.8-2…

Reasoning

8/20

Coding

5/20

Instruction

10/20

Structured

11/15

Math

3/15

Multilingual

7/10

Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate 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 hf.co/unsloth/Qwen… 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