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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

deepseek-coder-v2:16b

OLLAMA GGUF

deepseek2 · 15.7B · Q4_0

Excellent

Jun 26, 2026 · Cortex-X925

Global Score

77 vs 82

Hardware Fit

100 vs 100

Quality Score

67 vs 74

Hardware

mlx-community/meta… deepseek-coder-v2:…

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… deepseek-coder-v2:…

Tokens/sec54.3117.2

First chunk277 ms275 ms

TTFT277 ms275 ms

Load timeN/A8.9 s

Memory usage4.2 GB17.9 GB

Memory %7%15%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

deepseek-coder-v2:16b

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

deepseek-coder-v2:16b

Reasoning

8/20

Coding

19/20

Instruction

13/20

Structured

12/15

Math

14/15

Multilingual

8/10

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

View mlx-community/meta… details | View deepseek-coder-v2:… 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