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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen2.5-coder:32b

OLLAMA GGUF

qwen2 · 32.8B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

Global Score

77 vs 78

Hardware Fit

100 vs 59

Quality Score

67 vs 86

Hardware

mlx-community/meta… qwen2.5-coder:32b

MachineMac miniNVIDIA NVIDIA_DGX_Spark

CPUApple M4 ProCortex-X925

Cores1420

RAM64 GB122 GB

GPUApple M4 ProDevice 2e12

OSmacOS 15.7.4Ubuntu 24.04.4 LTS

Archarm64arm64

Power Modebalancedperformance

Performance

mlx-community/meta… qwen2.5-coder:32b

Tokens/sec54.39.5

First chunk277 ms394 ms

TTFT277 ms395 ms

Load timeN/A72.1 s

Memory usage4.2 GB26.5 GB

Memory %7%22%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen2.5-coder:32b

Speed

9/50

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

qwen2.5-coder:32b

Reasoning

14/20

Coding

19/20

Instruction

17/20

Structured

15/15

Math

11/15

Multilingual

10/10

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

View mlx-community/meta… details | View qwen2.5-coder:32b 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