llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Marginal

Jun 26, 2026 · Cortex-A78AE

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score

46 vs 89

Hardware Fit

61 vs 95

Quality Score

40 vs 87

Hardware

llama3.1:8b qwen/qwen3-8b

MachineNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit SuperMac mini

CPUCortex-A78AEApple M4 Pro

Cores614

RAM7 GB64 GB

GPUIntegrated / UnknownApple M4 Pro

OSUbuntu 22.04.5 LTSmacOS 15.7.4

Archarm64arm64

Power Modebalancedbalanced

Performance

llama3.1:8b qwen/qwen3-8b

Tokens/sec7.833.4

First chunk1625 ms257 ms

TTFT1.6 s257 ms

Load time21.8 sN/A

Memory usage5.2 GB4.3 GB

Memory %71%7%

HW Fit Score Breakdown

llama3.1:8b

Speed

26/50

TTFT

20/20

Memory

15/30

qwen/qwen3-8b

Speed

45/50

TTFT

20/20

Memory

30/30

Quality

llama3.1:8b

Reasoning

12/20

Coding

10/20

Instruction

4/20

Structured

1/15

Math

4/15

Multilingual

9/10

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

qwen/qwen3-8b

Reasoning

19/20

Coding

14/20

Instruction

16/20

Structured

15/15

Math

13/15

Multilingual

10/10

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

View llama3.1:8b details | View qwen/qwen3-8b 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