llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

microsoft/phi-4-mini-reasoning

LM-STUDIO MLX

phi3 · 3.8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

81 vs 64

Hardware Fit

100 vs 100

Quality Score

73 vs 48

Hardware

llama-3.1-8b-instr… microsoft/phi-4-mi…

MachineASUSMac mini

CPUAMD Ryzen 5 5500Apple M4 Pro

Cores1214

RAM31 GB64 GB

GPUNavi 44 [Radeon RX 9060 XT]Apple M4 Pro

OSNobara Linux 43macOS 15.7.4

Archx64arm64

Power Modeperformancebalanced

Performance

llama-3.1-8b-instr… microsoft/phi-4-mi…

Tokens/sec35.690.3

First chunk52 ms198 ms

TTFT256 ms198 ms

Load timeN/AN/A

Memory usage8.6 GB2.0 GB

Memory %28%3%

HW Fit Score Breakdown

llama-3.1-8b-instruct

Speed

50/50

TTFT

20/20

Memory

30/30

microsoft/phi-4-mini-re…

Speed

50/50

TTFT

20/20

Memory

30/30

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

microsoft/phi-4-mini-re…

Reasoning

7/20

Coding

7/20

Instruction

7/20

Structured

7/15

Math

13/15

Multilingual

7/10

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

View llama-3.1-8b-instr… details | View microsoft/phi-4-mi… 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