llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

google/gemma-3-27b

LM-STUDIO MLX

gemma3 · 27B · 4bit

Not Rec.

Mar 19, 2026 · Apple M4

Global Score

81 vs 71

Hardware Fit

100 vs 35

Quality Score

73 vs 86

Hardware

llama-3.1-8b-instr… google/gemma-3-27b

MachineASUSMac mini

CPUAMD Ryzen 5 5500Apple M4

Cores1210

RAM31 GB24 GB

GPUNavi 44 [Radeon RX 9060 XT]Apple M4

OSNobara Linux 43macOS 26.3

Archx64arm64

Power Modeperformancebalanced

Performance

llama-3.1-8b-instr… google/gemma-3-27b

Tokens/sec35.65.9

First chunk52 ms19 ms

TTFT256 ms1.8 s

Load timeN/AN/A

Memory usage8.6 GB22.0 GB

Memory %28%92%

HW Fit Score Breakdown

llama-3.1-8b-instruct

Speed

50/50

TTFT

20/20

Memory

30/30

google/gemma-3-27b

Speed

12/50

TTFT

19/20

Memory

4/30

Quality

llama-3.1-8b-instruct

Reasoning

13/20

Coding

17/20

Instruction

13/20

Structured

15/15

Math

5/15

Multilingual

10/10

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

google/gemma-3-27b

Reasoning

16/20

Coding

18/20

Instruction

16/20

Structured

15/15

Math

11/15

Multilingual

10/10

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

View llama-3.1-8b-instr… details | View google/gemma-3-27b 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