qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Marginal

Jun 26, 2026 · Cortex-A78AE

Global Score

89 vs 46

Hardware Fit

95 vs 61

Quality Score

87 vs 40

Hardware

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

MachineMac miniNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super

CPUApple M4 ProCortex-A78AE

Cores146

RAM64 GB7 GB

GPUApple M4 ProIntegrated / Unknown

OSmacOS 15.7.4Ubuntu 22.04.5 LTS

Archarm64arm64

Power Modebalancedbalanced

Performance

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

Tokens/sec33.47.8

First chunk257 ms1625 ms

TTFT257 ms1.6 s

Load timeN/A21.8 s

Memory usage4.3 GB5.2 GB

Memory %7%71%

HW Fit Score Breakdown

qwen/qwen3-8b

Speed

45/50

TTFT

20/20

Memory

30/30

llama3.1:8b

Speed

26/50

TTFT

20/20

Memory

15/30

Quality

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

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

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