llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Marginal

Jun 26, 2026 · Cortex-A78AE

qwen3.5-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score

46 vs 75

Hardware Fit

61 vs 54

Quality Score

40 vs 84

Hardware

llama3.1:8b qwen3.5-27b

MachineNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit SuperMacBook Air

CPUCortex-A78AEApple M4

Cores610

RAM7 GB32 GB

GPUIntegrated / UnknownApple M4

OSUbuntu 22.04.5 LTSmacOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

llama3.1:8b qwen3.5-27b

Tokens/sec7.86.6

First chunk1625 ms4364 ms

TTFT1.6 s4.4 s

Load time21.8 sN/A

Memory usage5.2 GB15.0 GB

Memory %71%47%

HW Fit Score Breakdown

llama3.1:8b

Speed

26/50

TTFT

20/20

Memory

15/30

qwen3.5-27b

Speed

13/50

TTFT

11/20

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

qwen3.5-27b

Reasoning

17/20

Coding

18/20

Instruction

11/20

Structured

15/15

Math

13/15

Multilingual

10/10

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

View llama3.1:8b details | View qwen3.5-27b 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